Supported scikit-learn Models

skl2onnx currently can convert the following list of models for skl2onnx . They were tested using onnxruntime . All the following classes overloads the following methods such as OnnxSklearnPipeline does. They wrap existing scikit-learn classes by dynamically creating a new one which inherits from OnnxOperatorMixin which implements to_onnx methods.

Covered Converters

Name	Package	Supported
ARDRegression	linear_model	Yes
AdaBoostClassifier	ensemble	Yes
AdaBoostRegressor	ensemble	Yes
AdditiveChi2Sampler	kernel_approximation
AffinityPropagation	cluster
AgglomerativeClustering	cluster
BaggingClassifier	ensemble	Yes
BaggingRegressor	ensemble	Yes
BaseDecisionTree	tree
BaseEnsemble	ensemble
BayesianGaussianMixture	mixture	Yes
BayesianRidge	linear_model	Yes
BernoulliNB	naive_bayes	Yes
BernoulliRBM	neural_network
Binarizer	preprocessing	Yes
Birch	cluster
BisectingKMeans	cluster
CCA	cross_decomposition
CalibratedClassifierCV	calibration	Yes
CategoricalNB	naive_bayes	Yes
ClassifierChain	multioutput
ComplementNB	naive_bayes	Yes
DBSCAN	cluster
DecisionTreeClassifier	tree	Yes
DecisionTreeRegressor	tree	Yes
DictVectorizer	feature_extraction	Yes
DictionaryLearning	decomposition
ElasticNet	linear_model	Yes
ElasticNetCV	linear_model	Yes
EllipticEnvelope	covariance
EmpiricalCovariance	covariance
ExtraTreeClassifier	tree	Yes
ExtraTreeRegressor	tree	Yes
ExtraTreesClassifier	ensemble	Yes
ExtraTreesRegressor	ensemble	Yes
FactorAnalysis	decomposition
FastICA	decomposition
FeatureAgglomeration	cluster
FeatureHasher	feature_extraction	Yes
FixedThresholdClassifier	model_selection
FunctionTransformer	preprocessing	Yes
GammaRegressor	linear_model	Yes
GaussianMixture	mixture	Yes
GaussianNB	naive_bayes	Yes
GaussianProcessClassifier	gaussian_process	Yes
GaussianProcessRegressor	gaussian_process	Yes
GaussianRandomProjection	random_projection	Yes
GenericUnivariateSelect	feature_selection	Yes
GradientBoostingClassifier	ensemble	Yes
GradientBoostingRegressor	ensemble	Yes
GraphicalLasso	covariance
GraphicalLassoCV	covariance
GridSearchCV	model_selection	Yes
HDBSCAN	cluster
HistGradientBoostingClassifier	ensemble	Yes
HistGradientBoostingRegressor	ensemble	Yes
HuberRegressor	linear_model	Yes
IncrementalPCA	decomposition	Yes
IsolationForest	ensemble	Yes
IsotonicRegression	isotonic
KBinsDiscretizer	preprocessing	Yes
KMeans	cluster	Yes
KNNImputer	impute	Yes
KNeighborsClassifier	neighbors	Yes
KNeighborsRegressor	neighbors	Yes
KNeighborsTransformer	neighbors	Yes
KernelCenterer	preprocessing	Yes
KernelDensity	neighbors
KernelPCA	decomposition	Yes
KernelRidge	kernel_ridge
LabelBinarizer	preprocessing	Yes
LabelEncoder	preprocessing	Yes
LabelPropagation	semi_supervised
LabelSpreading	semi_supervised
Lars	linear_model	Yes
LarsCV	linear_model	Yes
Lasso	linear_model	Yes
LassoCV	linear_model	Yes
LassoLars	linear_model	Yes
LassoLarsCV	linear_model	Yes
LassoLarsIC	linear_model	Yes
LatentDirichletAllocation	decomposition
LedoitWolf	covariance
LinearDiscriminantAnalysis	discriminant_analysis	Yes
LinearRegression	linear_model	Yes
LinearSVC	svm	Yes
LinearSVR	svm	Yes
LocalOutlierFactor	neighbors	Yes
LogisticRegression	linear_model	Yes
LogisticRegressionCV	linear_model	Yes
MLPClassifier	neural_network	Yes
MLPRegressor	neural_network	Yes
MaxAbsScaler	preprocessing	Yes
MeanShift	cluster
MinCovDet	covariance
MinMaxScaler	preprocessing	Yes
MiniBatchDictionaryLearning	decomposition
MiniBatchKMeans	cluster	Yes
MiniBatchNMF	decomposition
MiniBatchSparsePCA	decomposition
MissingIndicator	impute
MultiLabelBinarizer	preprocessing
MultiOutputClassifier	multioutput	Yes
MultiOutputRegressor	multioutput	Yes
MultiTaskElasticNet	linear_model	Yes
MultiTaskElasticNetCV	linear_model	Yes
MultiTaskLasso	linear_model	Yes
MultiTaskLassoCV	linear_model	Yes
MultinomialNB	naive_bayes	Yes
NMF	decomposition
NearestCentroid	neighbors
NearestNeighbors	neighbors	Yes
NeighborhoodComponentsAnalysis	neighbors	Yes
Normalizer	preprocessing	Yes
NuSVC	svm	Yes
NuSVR	svm	Yes
Nystroem	kernel_approximation
OAS	covariance
OPTICS	cluster
OneClassSVM	svm	Yes
OneHotEncoder	preprocessing	Yes
OneVsOneClassifier	multiclass	Yes
OneVsRestClassifier	multiclass	Yes
OrdinalEncoder	preprocessing	Yes
OrthogonalMatchingPursuit	linear_model	Yes
OrthogonalMatchingPursuitCV	linear_model	Yes
OutputCodeClassifier	multiclass
PCA	decomposition	Yes
PLSCanonical	cross_decomposition
PLSRegression	cross_decomposition	Yes
PLSSVD	cross_decomposition
PassiveAggressiveClassifier	linear_model	Yes
PassiveAggressiveRegressor	linear_model	Yes
Perceptron	linear_model	Yes
PoissonRegressor	linear_model	Yes
PolynomialCountSketch	kernel_approximation
PolynomialFeatures	preprocessing	Yes
PowerTransformer	preprocessing	Yes
QuadraticDiscriminantAnalysis	discriminant_analysis	Yes
QuantileRegressor	linear_model	Yes
QuantileTransformer	preprocessing
RANSACRegressor	linear_model	Yes
RBFSampler	kernel_approximation
RFE	feature_selection	Yes
RFECV	feature_selection	Yes
RadiusNeighborsClassifier	neighbors	Yes
RadiusNeighborsRegressor	neighbors	Yes
RadiusNeighborsTransformer	neighbors
RandomForestClassifier	ensemble	Yes
RandomForestRegressor	ensemble	Yes
RandomTreesEmbedding	ensemble	Yes
RandomizedSearchCV	model_selection
RegressorChain	multioutput
Ridge	linear_model	Yes
RidgeCV	linear_model	Yes
RidgeClassifier	linear_model	Yes
RidgeClassifierCV	linear_model	Yes
RobustScaler	preprocessing	Yes
SGDClassifier	linear_model	Yes
SGDOneClassSVM	linear_model	Yes
SGDRegressor	linear_model	Yes
SVC	svm	Yes
SVR	svm	Yes
SelectFdr	feature_selection	Yes
SelectFpr	feature_selection	Yes
SelectFromModel	feature_selection	Yes
SelectFwe	feature_selection	Yes
SelectKBest	feature_selection	Yes
SelectPercentile	feature_selection	Yes
SelfTrainingClassifier	semi_supervised
SequentialFeatureSelector	feature_selection
ShrunkCovariance	covariance
SimpleImputer	impute	Yes
SkewedChi2Sampler	kernel_approximation
SparseCoder	decomposition
SparsePCA	decomposition
SparseRandomProjection	random_projection
SpectralBiclustering	cluster
SpectralClustering	cluster
SpectralCoclustering	cluster
SplineTransformer	preprocessing
StackingClassifier	ensemble	Yes
StackingRegressor	ensemble	Yes
StandardScaler	preprocessing	Yes
TargetEncoder	preprocessing
TheilSenRegressor	linear_model	Yes
TransformedTargetRegressor	compose
TruncatedSVD	decomposition	Yes
TunedThresholdClassifierCV	model_selection	Yes
TweedieRegressor	linear_model	Yes
VarianceThreshold	feature_selection	Yes
VotingClassifier	ensemble	Yes
VotingRegressor	ensemble	Yes

scikit-learn’s version is 1.6.dev0. 131/193 models are covered.

Converters Documentation

OnnxCastRegressor	OnnxSklearnKNeighborsClassifier	OnnxSklearnPassiveAggressiveClassifier
OnnxCastTransformer	OnnxSklearnKNeighborsRegressor	OnnxSklearnPassiveAggressiveRegressor
OnnxReplaceTransformer	OnnxSklearnKNeighborsTransformer	OnnxSklearnPerceptron
OnnxSklearnARDRegression	OnnxSklearnKernelCenterer	OnnxSklearnPipeline
OnnxSklearnAdaBoostClassifier	OnnxSklearnKernelPCA	OnnxSklearnPoissonRegressor
OnnxSklearnAdaBoostRegressor	OnnxSklearnLabelBinarizer	OnnxSklearnPolynomialFeatures
OnnxSklearnBaggingClassifier	OnnxSklearnLabelEncoder	OnnxSklearnPowerTransformer
OnnxSklearnBaggingRegressor	OnnxSklearnLars	OnnxSklearnQuadraticDiscriminantAnalysis
OnnxSklearnBayesianGaussianMixture	OnnxSklearnLarsCV	OnnxSklearnQuantileRegressor
OnnxSklearnBayesianRidge	OnnxSklearnLasso	OnnxSklearnRANSACRegressor
OnnxSklearnBernoulliNB	OnnxSklearnLassoCV	OnnxSklearnRFE
OnnxSklearnBinarizer	OnnxSklearnLassoLars	OnnxSklearnRFECV
OnnxSklearnCalibratedClassifierCV	OnnxSklearnLassoLarsCV	OnnxSklearnRadiusNeighborsClassifier
OnnxSklearnCategoricalNB	OnnxSklearnLassoLarsIC	OnnxSklearnRadiusNeighborsRegressor
OnnxSklearnColumnTransformer	OnnxSklearnLinearDiscriminantAnalysis	OnnxSklearnRandomForestClassifier
OnnxSklearnComplementNB	OnnxSklearnLinearRegression	OnnxSklearnRandomForestRegressor
OnnxSklearnCountVectorizer	OnnxSklearnLinearSVC	OnnxSklearnRandomTreesEmbedding
OnnxSklearnDecisionTreeClassifier	OnnxSklearnLinearSVR	OnnxSklearnRidge
OnnxSklearnDecisionTreeRegressor	OnnxSklearnLocalOutlierFactor	OnnxSklearnRidgeCV
OnnxSklearnDictVectorizer	OnnxSklearnLogisticRegression	OnnxSklearnRidgeClassifier
OnnxSklearnElasticNet	OnnxSklearnLogisticRegressionCV	OnnxSklearnRidgeClassifierCV
OnnxSklearnElasticNetCV	OnnxSklearnMLPClassifier	OnnxSklearnRobustScaler
OnnxSklearnExtraTreeClassifier	OnnxSklearnMLPRegressor	OnnxSklearnSGDClassifier
OnnxSklearnExtraTreeRegressor	OnnxSklearnMaxAbsScaler	OnnxSklearnSGDOneClassSVM
OnnxSklearnExtraTreesClassifier	OnnxSklearnMinMaxScaler	OnnxSklearnSGDRegressor
OnnxSklearnExtraTreesRegressor	OnnxSklearnMiniBatchKMeans	OnnxSklearnSVC
OnnxSklearnFeatureHasher	OnnxSklearnMultiOutputClassifier	OnnxSklearnSVR
OnnxSklearnFeatureUnion	OnnxSklearnMultiOutputRegressor	OnnxSklearnSelectFdr
OnnxSklearnFunctionTransformer	OnnxSklearnMultiTaskElasticNet	OnnxSklearnSelectFpr
OnnxSklearnGammaRegressor	OnnxSklearnMultiTaskElasticNetCV	OnnxSklearnSelectFromModel
OnnxSklearnGaussianMixture	OnnxSklearnMultiTaskLasso	OnnxSklearnSelectFwe
OnnxSklearnGaussianNB	OnnxSklearnMultiTaskLassoCV	OnnxSklearnSelectKBest
OnnxSklearnGaussianProcessClassifier	OnnxSklearnMultinomialNB	OnnxSklearnSelectPercentile
OnnxSklearnGaussianProcessRegressor	OnnxSklearnNearestNeighbors	OnnxSklearnSimpleImputer
OnnxSklearnGaussianRandomProjection	OnnxSklearnNeighborhoodComponentsAnalysis	OnnxSklearnStackingClassifier
OnnxSklearnGenericUnivariateSelect	OnnxSklearnNormalizer	OnnxSklearnStackingRegressor
OnnxSklearnGradientBoostingClassifier	OnnxSklearnNuSVC	OnnxSklearnStandardScaler
OnnxSklearnGradientBoostingRegressor	OnnxSklearnNuSVR	OnnxSklearnTfidfTransformer
OnnxSklearnGridSearchCV	OnnxSklearnOneClassSVM	OnnxSklearnTfidfVectorizer
OnnxSklearnHistGradientBoostingClassifier	OnnxSklearnOneHotEncoder	OnnxSklearnTheilSenRegressor
OnnxSklearnHistGradientBoostingRegressor	OnnxSklearnOneVsOneClassifier	OnnxSklearnTruncatedSVD
OnnxSklearnHuberRegressor	OnnxSklearnOneVsRestClassifier	OnnxSklearnTunedThresholdClassifierCV
OnnxSklearnIncrementalPCA	OnnxSklearnOrdinalEncoder	OnnxSklearnTweedieRegressor
OnnxSklearnIsolationForest	OnnxSklearnOrthogonalMatchingPursuit	OnnxSklearnVarianceThreshold
OnnxSklearnKBinsDiscretizer	OnnxSklearnOrthogonalMatchingPursuitCV	OnnxSklearnVotingClassifier
OnnxSklearnKMeans	OnnxSklearnPCA	OnnxSklearnVotingRegressor
OnnxSklearnKNNImputer	OnnxSklearnPLSRegression	OnnxSklearn_ConstantPredictor

OnnxCastRegressor

class skl2onnx.algebra.sklearn_ops.OnnxCastRegressor(estimator, *, dtype=<class 'numpy.float32'>)

OnnxOperatorMixin for CastRegressor

OnnxCastTransformer

class skl2onnx.algebra.sklearn_ops.OnnxCastTransformer(*, dtype=<class 'numpy.float32'>)

OnnxOperatorMixin for CastTransformer

OnnxReplaceTransformer

class skl2onnx.algebra.sklearn_ops.OnnxReplaceTransformer(*, from_value=0, to_value=nan, dtype=<class 'numpy.float32'>)

OnnxOperatorMixin for ReplaceTransformer

OnnxSklearnARDRegression

class skl2onnx.algebra.sklearn_ops.OnnxSklearnARDRegression(*, max_iter=300, tol=0.001, alpha_1=1e-06, alpha_2=1e-06, lambda_1=1e-06, lambda_2=1e-06, compute_score=False, threshold_lambda=10000.0, fit_intercept=True, copy_X=True, verbose=False)

OnnxOperatorMixin for ARDRegression

OnnxSklearnAdaBoostClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnAdaBoostClassifier(estimator=None, *, n_estimators=50, learning_rate=1.0, algorithm='SAMME.R', random_state=None)

OnnxOperatorMixin for AdaBoostClassifier

OnnxSklearnAdaBoostRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnAdaBoostRegressor(estimator=None, *, n_estimators=50, learning_rate=1.0, loss='linear', random_state=None)

OnnxOperatorMixin for AdaBoostRegressor

OnnxSklearnBaggingClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnBaggingClassifier(estimator=None, n_estimators=10, *, max_samples=1.0, max_features=1.0, bootstrap=True, bootstrap_features=False, oob_score=False, warm_start=False, n_jobs=None, random_state=None, verbose=0)

OnnxOperatorMixin for BaggingClassifier

OnnxSklearnBaggingRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnBaggingRegressor(estimator=None, n_estimators=10, *, max_samples=1.0, max_features=1.0, bootstrap=True, bootstrap_features=False, oob_score=False, warm_start=False, n_jobs=None, random_state=None, verbose=0)

OnnxOperatorMixin for BaggingRegressor

OnnxSklearnBayesianGaussianMixture

class skl2onnx.algebra.sklearn_ops.OnnxSklearnBayesianGaussianMixture(*, n_components=1, covariance_type='full', tol=0.001, reg_covar=1e-06, max_iter=100, n_init=1, init_params='kmeans', weight_concentration_prior_type='dirichlet_process', weight_concentration_prior=None, mean_precision_prior=None, mean_prior=None, degrees_of_freedom_prior=None, covariance_prior=None, random_state=None, warm_start=False, verbose=0, verbose_interval=10)

OnnxOperatorMixin for BayesianGaussianMixture

OnnxSklearnBayesianRidge

class skl2onnx.algebra.sklearn_ops.OnnxSklearnBayesianRidge(*, max_iter=300, tol=0.001, alpha_1=1e-06, alpha_2=1e-06, lambda_1=1e-06, lambda_2=1e-06, alpha_init=None, lambda_init=None, compute_score=False, fit_intercept=True, copy_X=True, verbose=False)

OnnxOperatorMixin for BayesianRidge

OnnxSklearnBernoulliNB

class skl2onnx.algebra.sklearn_ops.OnnxSklearnBernoulliNB(*, alpha=1.0, force_alpha=True, binarize=0.0, fit_prior=True, class_prior=None)

OnnxOperatorMixin for BernoulliNB

OnnxSklearnBinarizer

class skl2onnx.algebra.sklearn_ops.OnnxSklearnBinarizer(*, threshold=0.0, copy=True)

OnnxOperatorMixin for Binarizer

OnnxSklearnCalibratedClassifierCV

class skl2onnx.algebra.sklearn_ops.OnnxSklearnCalibratedClassifierCV(estimator=None, *, method='sigmoid', cv=None, n_jobs=None, ensemble=True)

OnnxOperatorMixin for CalibratedClassifierCV

OnnxSklearnCategoricalNB

class skl2onnx.algebra.sklearn_ops.OnnxSklearnCategoricalNB(*, alpha=1.0, force_alpha=True, fit_prior=True, class_prior=None, min_categories=None)

OnnxOperatorMixin for CategoricalNB

OnnxSklearnComplementNB

class skl2onnx.algebra.sklearn_ops.OnnxSklearnComplementNB(*, alpha=1.0, force_alpha=True, fit_prior=True, class_prior=None, norm=False)

OnnxOperatorMixin for ComplementNB

OnnxSklearnCountVectorizer

class skl2onnx.algebra.sklearn_ops.OnnxSklearnCountVectorizer(*, input='content', encoding='utf-8', decode_error='strict', strip_accents=None, lowercase=True, preprocessor=None, tokenizer=None, stop_words=None, token_pattern='(?u)\\b\\w\\w+\\b', ngram_range=(1, 1), analyzer='word', max_df=1.0, min_df=1, max_features=None, vocabulary=None, binary=False, dtype=<class 'numpy.int64'>)

OnnxOperatorMixin for CountVectorizer

OnnxSklearnDecisionTreeClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnDecisionTreeClassifier(*, criterion='gini', splitter='best', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=None, random_state=None, max_leaf_nodes=None, min_impurity_decrease=0.0, class_weight=None, ccp_alpha=0.0, monotonic_cst=None)

OnnxOperatorMixin for DecisionTreeClassifier

OnnxSklearnDecisionTreeRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnDecisionTreeRegressor(*, criterion='squared_error', splitter='best', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=None, random_state=None, max_leaf_nodes=None, min_impurity_decrease=0.0, ccp_alpha=0.0, monotonic_cst=None)

OnnxOperatorMixin for DecisionTreeRegressor

OnnxSklearnDictVectorizer

class skl2onnx.algebra.sklearn_ops.OnnxSklearnDictVectorizer(*, dtype=<class 'numpy.float64'>, separator='=', sparse=True, sort=True)

OnnxOperatorMixin for DictVectorizer

OnnxSklearnElasticNet

class skl2onnx.algebra.sklearn_ops.OnnxSklearnElasticNet(alpha=1.0, *, l1_ratio=0.5, fit_intercept=True, precompute=False, max_iter=1000, copy_X=True, tol=0.0001, warm_start=False, positive=False, random_state=None, selection='cyclic')

OnnxOperatorMixin for ElasticNet

OnnxSklearnElasticNetCV

class skl2onnx.algebra.sklearn_ops.OnnxSklearnElasticNetCV(*, l1_ratio=0.5, eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, precompute='auto', max_iter=1000, tol=0.0001, cv=None, copy_X=True, verbose=0, n_jobs=None, positive=False, random_state=None, selection='cyclic')

OnnxOperatorMixin for ElasticNetCV

OnnxSklearnExtraTreeClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnExtraTreeClassifier(*, criterion='gini', splitter='random', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features='sqrt', random_state=None, max_leaf_nodes=None, min_impurity_decrease=0.0, class_weight=None, ccp_alpha=0.0, monotonic_cst=None)

OnnxOperatorMixin for ExtraTreeClassifier

OnnxSklearnExtraTreeRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnExtraTreeRegressor(*, criterion='squared_error', splitter='random', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=1.0, random_state=None, min_impurity_decrease=0.0, max_leaf_nodes=None, ccp_alpha=0.0, monotonic_cst=None)

OnnxOperatorMixin for ExtraTreeRegressor

OnnxSklearnExtraTreesClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnExtraTreesClassifier(n_estimators=100, *, criterion='gini', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features='sqrt', max_leaf_nodes=None, min_impurity_decrease=0.0, bootstrap=False, oob_score=False, n_jobs=None, random_state=None, verbose=0, warm_start=False, class_weight=None, ccp_alpha=0.0, max_samples=None, monotonic_cst=None)

OnnxOperatorMixin for ExtraTreesClassifier

OnnxSklearnExtraTreesRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnExtraTreesRegressor(n_estimators=100, *, criterion='squared_error', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=1.0, max_leaf_nodes=None, min_impurity_decrease=0.0, bootstrap=False, oob_score=False, n_jobs=None, random_state=None, verbose=0, warm_start=False, ccp_alpha=0.0, max_samples=None, monotonic_cst=None)

OnnxOperatorMixin for ExtraTreesRegressor

OnnxSklearnFeatureHasher

class skl2onnx.algebra.sklearn_ops.OnnxSklearnFeatureHasher(n_features=1048576, *, input_type='dict', dtype=<class 'numpy.float64'>, alternate_sign=True)

OnnxOperatorMixin for FeatureHasher

OnnxSklearnFunctionTransformer

class skl2onnx.algebra.sklearn_ops.OnnxSklearnFunctionTransformer(func=None, inverse_func=None, *, validate=False, accept_sparse=False, check_inverse=True, feature_names_out=None, kw_args=None, inv_kw_args=None)

OnnxOperatorMixin for FunctionTransformer

OnnxSklearnGammaRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGammaRegressor(*, alpha=1.0, fit_intercept=True, solver='lbfgs', max_iter=100, tol=0.0001, warm_start=False, verbose=0)

OnnxOperatorMixin for GammaRegressor

OnnxSklearnGaussianMixture

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGaussianMixture(n_components=1, *, covariance_type='full', tol=0.001, reg_covar=1e-06, max_iter=100, n_init=1, init_params='kmeans', weights_init=None, means_init=None, precisions_init=None, random_state=None, warm_start=False, verbose=0, verbose_interval=10)

OnnxOperatorMixin for GaussianMixture

OnnxSklearnGaussianNB

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGaussianNB(*, priors=None, var_smoothing=1e-09)

OnnxOperatorMixin for GaussianNB

OnnxSklearnGaussianProcessClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGaussianProcessClassifier(kernel=None, *, optimizer='fmin_l_bfgs_b', n_restarts_optimizer=0, max_iter_predict=100, warm_start=False, copy_X_train=True, random_state=None, multi_class='one_vs_rest', n_jobs=None)

OnnxOperatorMixin for GaussianProcessClassifier

OnnxSklearnGaussianProcessRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGaussianProcessRegressor(kernel=None, *, alpha=1e-10, optimizer='fmin_l_bfgs_b', n_restarts_optimizer=0, normalize_y=False, copy_X_train=True, n_targets=None, random_state=None)

OnnxOperatorMixin for GaussianProcessRegressor

OnnxSklearnGaussianRandomProjection

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGaussianRandomProjection(n_components='auto', *, eps=0.1, compute_inverse_components=False, random_state=None)

OnnxOperatorMixin for GaussianRandomProjection

OnnxSklearnGenericUnivariateSelect

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGenericUnivariateSelect(score_func=<function f_classif>, *, mode='percentile', param=1e-05)

OnnxOperatorMixin for GenericUnivariateSelect

OnnxSklearnGradientBoostingClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGradientBoostingClassifier(*, loss='log_loss', learning_rate=0.1, n_estimators=100, subsample=1.0, criterion='friedman_mse', min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_depth=3, min_impurity_decrease=0.0, init=None, random_state=None, max_features=None, verbose=0, max_leaf_nodes=None, warm_start=False, validation_fraction=0.1, n_iter_no_change=None, tol=0.0001, ccp_alpha=0.0)

OnnxOperatorMixin for GradientBoostingClassifier

OnnxSklearnGradientBoostingRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGradientBoostingRegressor(*, loss='squared_error', learning_rate=0.1, n_estimators=100, subsample=1.0, criterion='friedman_mse', min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_depth=3, min_impurity_decrease=0.0, init=None, random_state=None, max_features=None, alpha=0.9, verbose=0, max_leaf_nodes=None, warm_start=False, validation_fraction=0.1, n_iter_no_change=None, tol=0.0001, ccp_alpha=0.0)

OnnxOperatorMixin for GradientBoostingRegressor

OnnxSklearnGridSearchCV

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGridSearchCV(estimator, param_grid, *, scoring=None, n_jobs=None, refit=True, cv=None, verbose=0, pre_dispatch='2*n_jobs', error_score=nan, return_train_score=False)

OnnxOperatorMixin for GridSearchCV

OnnxSklearnHistGradientBoostingClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnHistGradientBoostingClassifier(loss='log_loss', *, learning_rate=0.1, max_iter=100, max_leaf_nodes=31, max_depth=None, min_samples_leaf=20, l2_regularization=0.0, max_features=1.0, max_bins=255, categorical_features='warn', monotonic_cst=None, interaction_cst=None, warm_start=False, early_stopping='auto', scoring='loss', validation_fraction=0.1, n_iter_no_change=10, tol=1e-07, verbose=0, random_state=None, class_weight=None)

OnnxOperatorMixin for HistGradientBoostingClassifier

OnnxSklearnHistGradientBoostingRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnHistGradientBoostingRegressor(loss='squared_error', *, quantile=None, learning_rate=0.1, max_iter=100, max_leaf_nodes=31, max_depth=None, min_samples_leaf=20, l2_regularization=0.0, max_features=1.0, max_bins=255, categorical_features='warn', monotonic_cst=None, interaction_cst=None, warm_start=False, early_stopping='auto', scoring='loss', validation_fraction=0.1, n_iter_no_change=10, tol=1e-07, verbose=0, random_state=None)

OnnxOperatorMixin for HistGradientBoostingRegressor

OnnxSklearnHuberRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnHuberRegressor(*, epsilon=1.35, max_iter=100, alpha=0.0001, warm_start=False, fit_intercept=True, tol=1e-05)

OnnxOperatorMixin for HuberRegressor

OnnxSklearnIncrementalPCA

class skl2onnx.algebra.sklearn_ops.OnnxSklearnIncrementalPCA(n_components=None, *, whiten=False, copy=True, batch_size=None)

OnnxOperatorMixin for IncrementalPCA

OnnxSklearnIsolationForest

class skl2onnx.algebra.sklearn_ops.OnnxSklearnIsolationForest(*, n_estimators=100, max_samples='auto', contamination='auto', max_features=1.0, bootstrap=False, n_jobs=None, random_state=None, verbose=0, warm_start=False)

OnnxOperatorMixin for IsolationForest

OnnxSklearnKBinsDiscretizer

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKBinsDiscretizer(n_bins=5, *, encode='onehot', strategy='quantile', dtype=None, subsample=200000, random_state=None)

OnnxOperatorMixin for KBinsDiscretizer

OnnxSklearnKMeans

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKMeans(n_clusters=8, *, init='k-means++', n_init='auto', max_iter=300, tol=0.0001, verbose=0, random_state=None, copy_x=True, algorithm='lloyd')

OnnxOperatorMixin for KMeans

OnnxSklearnKNNImputer

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKNNImputer(*, missing_values=nan, n_neighbors=5, weights='uniform', metric='nan_euclidean', copy=True, add_indicator=False, keep_empty_features=False)

OnnxOperatorMixin for KNNImputer

OnnxSklearnKNeighborsClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKNeighborsClassifier(n_neighbors=5, *, weights='uniform', algorithm='auto', leaf_size=30, p=2, metric='minkowski', metric_params=None, n_jobs=None)

OnnxOperatorMixin for KNeighborsClassifier

OnnxSklearnKNeighborsRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKNeighborsRegressor(n_neighbors=5, *, weights='uniform', algorithm='auto', leaf_size=30, p=2, metric='minkowski', metric_params=None, n_jobs=None)

OnnxOperatorMixin for KNeighborsRegressor

OnnxSklearnKNeighborsTransformer

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKNeighborsTransformer(*, mode='distance', n_neighbors=5, algorithm='auto', leaf_size=30, metric='minkowski', p=2, metric_params=None, n_jobs=None)

OnnxOperatorMixin for KNeighborsTransformer

OnnxSklearnKernelCenterer

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKernelCenterer

OnnxOperatorMixin for KernelCenterer

OnnxSklearnKernelPCA

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKernelPCA(n_components=None, *, kernel='linear', gamma=None, degree=3, coef0=1, kernel_params=None, alpha=1.0, fit_inverse_transform=False, eigen_solver='auto', tol=0, max_iter=None, iterated_power='auto', remove_zero_eig=False, random_state=None, copy_X=True, n_jobs=None)

OnnxOperatorMixin for KernelPCA

OnnxSklearnLabelBinarizer

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLabelBinarizer(*, neg_label=0, pos_label=1, sparse_output=False)

OnnxOperatorMixin for LabelBinarizer

OnnxSklearnLabelEncoder

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLabelEncoder

OnnxOperatorMixin for LabelEncoder

OnnxSklearnLars

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLars(*, fit_intercept=True, verbose=False, precompute='auto', n_nonzero_coefs=500, eps=2.220446049250313e-16, copy_X=True, fit_path=True, jitter=None, random_state=None)

OnnxOperatorMixin for Lars

OnnxSklearnLarsCV

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLarsCV(*, fit_intercept=True, verbose=False, max_iter=500, precompute='auto', cv=None, max_n_alphas=1000, n_jobs=None, eps=2.220446049250313e-16, copy_X=True)

OnnxOperatorMixin for LarsCV

OnnxSklearnLasso

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLasso(alpha=1.0, *, fit_intercept=True, precompute=False, copy_X=True, max_iter=1000, tol=0.0001, warm_start=False, positive=False, random_state=None, selection='cyclic')

OnnxOperatorMixin for Lasso

OnnxSklearnLassoCV

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLassoCV(*, eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, precompute='auto', max_iter=1000, tol=0.0001, copy_X=True, cv=None, verbose=False, n_jobs=None, positive=False, random_state=None, selection='cyclic')

OnnxOperatorMixin for LassoCV

OnnxSklearnLassoLars

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLassoLars(alpha=1.0, *, fit_intercept=True, verbose=False, precompute='auto', max_iter=500, eps=2.220446049250313e-16, copy_X=True, fit_path=True, positive=False, jitter=None, random_state=None)

OnnxOperatorMixin for LassoLars

OnnxSklearnLassoLarsCV

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLassoLarsCV(*, fit_intercept=True, verbose=False, max_iter=500, precompute='auto', cv=None, max_n_alphas=1000, n_jobs=None, eps=2.220446049250313e-16, copy_X=True, positive=False)

OnnxOperatorMixin for LassoLarsCV

OnnxSklearnLassoLarsIC

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLassoLarsIC(criterion='aic', *, fit_intercept=True, verbose=False, precompute='auto', max_iter=500, eps=2.220446049250313e-16, copy_X=True, positive=False, noise_variance=None)

OnnxOperatorMixin for LassoLarsIC

OnnxSklearnLinearDiscriminantAnalysis

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLinearDiscriminantAnalysis(solver='svd', shrinkage=None, priors=None, n_components=None, store_covariance=False, tol=0.0001, covariance_estimator=None)

OnnxOperatorMixin for LinearDiscriminantAnalysis

OnnxSklearnLinearRegression

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLinearRegression(*, fit_intercept=True, copy_X=True, n_jobs=None, positive=False)

OnnxOperatorMixin for LinearRegression

OnnxSklearnLinearSVC

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLinearSVC(penalty='l2', loss='squared_hinge', *, dual='auto', tol=0.0001, C=1.0, multi_class='ovr', fit_intercept=True, intercept_scaling=1, class_weight=None, verbose=0, random_state=None, max_iter=1000)

OnnxOperatorMixin for LinearSVC

OnnxSklearnLinearSVR

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLinearSVR(*, epsilon=0.0, tol=0.0001, C=1.0, loss='epsilon_insensitive', fit_intercept=True, intercept_scaling=1.0, dual='auto', verbose=0, random_state=None, max_iter=1000)

OnnxOperatorMixin for LinearSVR

OnnxSklearnLocalOutlierFactor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLocalOutlierFactor(n_neighbors=20, *, algorithm='auto', leaf_size=30, metric='minkowski', p=2, metric_params=None, contamination='auto', novelty=False, n_jobs=None)

OnnxOperatorMixin for LocalOutlierFactor

OnnxSklearnLogisticRegression

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLogisticRegression(penalty='l2', *, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=None, random_state=None, solver='lbfgs', max_iter=100, multi_class='deprecated', verbose=0, warm_start=False, n_jobs=None, l1_ratio=None)

OnnxOperatorMixin for LogisticRegression

OnnxSklearnLogisticRegressionCV

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLogisticRegressionCV(*, Cs=10, fit_intercept=True, cv=None, dual=False, penalty='l2', scoring=None, solver='lbfgs', tol=0.0001, max_iter=100, class_weight=None, n_jobs=None, verbose=0, refit=True, intercept_scaling=1.0, multi_class='deprecated', random_state=None, l1_ratios=None)

OnnxOperatorMixin for LogisticRegressionCV

OnnxSklearnMLPClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMLPClassifier(hidden_layer_sizes=(100,), activation='relu', *, solver='adam', alpha=0.0001, batch_size='auto', learning_rate='constant', learning_rate_init=0.001, power_t=0.5, max_iter=200, shuffle=True, random_state=None, tol=0.0001, verbose=False, warm_start=False, momentum=0.9, nesterovs_momentum=True, early_stopping=False, validation_fraction=0.1, beta_1=0.9, beta_2=0.999, epsilon=1e-08, n_iter_no_change=10, max_fun=15000)

OnnxOperatorMixin for MLPClassifier

OnnxSklearnMLPRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMLPRegressor(hidden_layer_sizes=(100,), activation='relu', *, solver='adam', alpha=0.0001, batch_size='auto', learning_rate='constant', learning_rate_init=0.001, power_t=0.5, max_iter=200, shuffle=True, random_state=None, tol=0.0001, verbose=False, warm_start=False, momentum=0.9, nesterovs_momentum=True, early_stopping=False, validation_fraction=0.1, beta_1=0.9, beta_2=0.999, epsilon=1e-08, n_iter_no_change=10, max_fun=15000)

OnnxOperatorMixin for MLPRegressor

OnnxSklearnMaxAbsScaler

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMaxAbsScaler(*, copy=True)

OnnxOperatorMixin for MaxAbsScaler

OnnxSklearnMinMaxScaler

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMinMaxScaler(feature_range=(0, 1), *, copy=True, clip=False)

OnnxOperatorMixin for MinMaxScaler

OnnxSklearnMiniBatchKMeans

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMiniBatchKMeans(n_clusters=8, *, init='k-means++', max_iter=100, batch_size=1024, verbose=0, compute_labels=True, random_state=None, tol=0.0, max_no_improvement=10, init_size=None, n_init='auto', reassignment_ratio=0.01)

OnnxOperatorMixin for MiniBatchKMeans

OnnxSklearnMultiOutputClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMultiOutputClassifier(estimator, *, n_jobs=None)

OnnxOperatorMixin for MultiOutputClassifier

OnnxSklearnMultiOutputRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMultiOutputRegressor(estimator, *, n_jobs=None)

OnnxOperatorMixin for MultiOutputRegressor

OnnxSklearnMultiTaskElasticNet

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMultiTaskElasticNet(alpha=1.0, *, l1_ratio=0.5, fit_intercept=True, copy_X=True, max_iter=1000, tol=0.0001, warm_start=False, random_state=None, selection='cyclic')

OnnxOperatorMixin for MultiTaskElasticNet

OnnxSklearnMultiTaskElasticNetCV

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMultiTaskElasticNetCV(*, l1_ratio=0.5, eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, max_iter=1000, tol=0.0001, cv=None, copy_X=True, verbose=0, n_jobs=None, random_state=None, selection='cyclic')

OnnxOperatorMixin for MultiTaskElasticNetCV

OnnxSklearnMultiTaskLasso

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMultiTaskLasso(alpha=1.0, *, fit_intercept=True, copy_X=True, max_iter=1000, tol=0.0001, warm_start=False, random_state=None, selection='cyclic')

OnnxOperatorMixin for MultiTaskLasso

OnnxSklearnMultiTaskLassoCV

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMultiTaskLassoCV(*, eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, max_iter=1000, tol=0.0001, copy_X=True, cv=None, verbose=False, n_jobs=None, random_state=None, selection='cyclic')

OnnxOperatorMixin for MultiTaskLassoCV

OnnxSklearnMultinomialNB

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMultinomialNB(*, alpha=1.0, force_alpha=True, fit_prior=True, class_prior=None)

OnnxOperatorMixin for MultinomialNB

OnnxSklearnNearestNeighbors

class skl2onnx.algebra.sklearn_ops.OnnxSklearnNearestNeighbors(*, n_neighbors=5, radius=1.0, algorithm='auto', leaf_size=30, metric='minkowski', p=2, metric_params=None, n_jobs=None)

OnnxOperatorMixin for NearestNeighbors

OnnxSklearnNeighborhoodComponentsAnalysis

class skl2onnx.algebra.sklearn_ops.OnnxSklearnNeighborhoodComponentsAnalysis(n_components=None, *, init='auto', warm_start=False, max_iter=50, tol=1e-05, callback=None, verbose=0, random_state=None)

OnnxOperatorMixin for NeighborhoodComponentsAnalysis

OnnxSklearnNormalizer

class skl2onnx.algebra.sklearn_ops.OnnxSklearnNormalizer(norm='l2', *, copy=True)

OnnxOperatorMixin for Normalizer

OnnxSklearnNuSVC

class skl2onnx.algebra.sklearn_ops.OnnxSklearnNuSVC(*, nu=0.5, kernel='rbf', degree=3, gamma='scale', coef0=0.0, shrinking=True, probability=False, tol=0.001, cache_size=200, class_weight=None, verbose=False, max_iter=-1, decision_function_shape='ovr', break_ties=False, random_state=None)

OnnxOperatorMixin for NuSVC

OnnxSklearnNuSVR

class skl2onnx.algebra.sklearn_ops.OnnxSklearnNuSVR(*, nu=0.5, C=1.0, kernel='rbf', degree=3, gamma='scale', coef0=0.0, shrinking=True, tol=0.001, cache_size=200, verbose=False, max_iter=-1)

OnnxOperatorMixin for NuSVR

OnnxSklearnOneClassSVM

class skl2onnx.algebra.sklearn_ops.OnnxSklearnOneClassSVM(*, kernel='rbf', degree=3, gamma='scale', coef0=0.0, tol=0.001, nu=0.5, shrinking=True, cache_size=200, verbose=False, max_iter=-1)

OnnxOperatorMixin for OneClassSVM

OnnxSklearnOneHotEncoder

class skl2onnx.algebra.sklearn_ops.OnnxSklearnOneHotEncoder(*, categories='auto', drop=None, sparse_output=True, dtype=<class 'numpy.float64'>, handle_unknown='error', min_frequency=None, max_categories=None, feature_name_combiner='concat')

OnnxOperatorMixin for OneHotEncoder

OnnxSklearnOneVsOneClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnOneVsOneClassifier(estimator, *, n_jobs=None)

OnnxOperatorMixin for OneVsOneClassifier

OnnxSklearnOneVsRestClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnOneVsRestClassifier(estimator, *, n_jobs=None, verbose=0)

OnnxOperatorMixin for OneVsRestClassifier

OnnxSklearnOrdinalEncoder

class skl2onnx.algebra.sklearn_ops.OnnxSklearnOrdinalEncoder(*, categories='auto', dtype=<class 'numpy.float64'>, handle_unknown='error', unknown_value=None, encoded_missing_value=nan, min_frequency=None, max_categories=None)

OnnxOperatorMixin for OrdinalEncoder

OnnxSklearnOrthogonalMatchingPursuit

class skl2onnx.algebra.sklearn_ops.OnnxSklearnOrthogonalMatchingPursuit(*, n_nonzero_coefs=None, tol=None, fit_intercept=True, precompute='auto')

OnnxOperatorMixin for OrthogonalMatchingPursuit

OnnxSklearnOrthogonalMatchingPursuitCV

class skl2onnx.algebra.sklearn_ops.OnnxSklearnOrthogonalMatchingPursuitCV(*, copy=True, fit_intercept=True, max_iter=None, cv=None, n_jobs=None, verbose=False)

OnnxOperatorMixin for OrthogonalMatchingPursuitCV

OnnxSklearnPCA

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPCA(n_components=None, *, copy=True, whiten=False, svd_solver='auto', tol=0.0, iterated_power='auto', n_oversamples=10, power_iteration_normalizer='auto', random_state=None)

OnnxOperatorMixin for PCA

OnnxSklearnPLSRegression

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPLSRegression(n_components=2, *, scale=True, max_iter=500, tol=1e-06, copy=True)

OnnxOperatorMixin for PLSRegression

OnnxSklearnPassiveAggressiveClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPassiveAggressiveClassifier(*, C=1.0, fit_intercept=True, max_iter=1000, tol=0.001, early_stopping=False, validation_fraction=0.1, n_iter_no_change=5, shuffle=True, verbose=0, loss='hinge', n_jobs=None, random_state=None, warm_start=False, class_weight=None, average=False)

OnnxOperatorMixin for PassiveAggressiveClassifier

OnnxSklearnPassiveAggressiveRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPassiveAggressiveRegressor(*, C=1.0, fit_intercept=True, max_iter=1000, tol=0.001, early_stopping=False, validation_fraction=0.1, n_iter_no_change=5, shuffle=True, verbose=0, loss='epsilon_insensitive', epsilon=0.1, random_state=None, warm_start=False, average=False)

OnnxOperatorMixin for PassiveAggressiveRegressor

OnnxSklearnPerceptron

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPerceptron(*, penalty=None, alpha=0.0001, l1_ratio=0.15, fit_intercept=True, max_iter=1000, tol=0.001, shuffle=True, verbose=0, eta0=1.0, n_jobs=None, random_state=0, early_stopping=False, validation_fraction=0.1, n_iter_no_change=5, class_weight=None, warm_start=False)

OnnxOperatorMixin for Perceptron

OnnxSklearnPoissonRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPoissonRegressor(*, alpha=1.0, fit_intercept=True, solver='lbfgs', max_iter=100, tol=0.0001, warm_start=False, verbose=0)

OnnxOperatorMixin for PoissonRegressor

OnnxSklearnPolynomialFeatures

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPolynomialFeatures(degree=2, *, interaction_only=False, include_bias=True, order='C')

OnnxOperatorMixin for PolynomialFeatures

OnnxSklearnPowerTransformer

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPowerTransformer(method='yeo-johnson', *, standardize=True, copy=True)

OnnxOperatorMixin for PowerTransformer

OnnxSklearnQuadraticDiscriminantAnalysis

class skl2onnx.algebra.sklearn_ops.OnnxSklearnQuadraticDiscriminantAnalysis(*, priors=None, reg_param=0.0, store_covariance=False, tol=0.0001)

OnnxOperatorMixin for QuadraticDiscriminantAnalysis

OnnxSklearnQuantileRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnQuantileRegressor(*, quantile=0.5, alpha=1.0, fit_intercept=True, solver='highs', solver_options=None)

OnnxOperatorMixin for QuantileRegressor

OnnxSklearnRANSACRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRANSACRegressor(estimator=None, *, min_samples=None, residual_threshold=None, is_data_valid=None, is_model_valid=None, max_trials=100, max_skips=inf, stop_n_inliers=inf, stop_score=inf, stop_probability=0.99, loss='absolute_error', random_state=None)

OnnxOperatorMixin for RANSACRegressor

OnnxSklearnRFE

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRFE(estimator, *, n_features_to_select=None, step=1, verbose=0, importance_getter='auto')

OnnxOperatorMixin for RFE

OnnxSklearnRFECV

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRFECV(estimator, *, step=1, min_features_to_select=1, cv=None, scoring=None, verbose=0, n_jobs=None, importance_getter='auto')

OnnxOperatorMixin for RFECV

OnnxSklearnRadiusNeighborsClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRadiusNeighborsClassifier(radius=1.0, *, weights='uniform', algorithm='auto', leaf_size=30, p=2, metric='minkowski', outlier_label=None, metric_params=None, n_jobs=None)

OnnxOperatorMixin for RadiusNeighborsClassifier

OnnxSklearnRadiusNeighborsRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRadiusNeighborsRegressor(radius=1.0, *, weights='uniform', algorithm='auto', leaf_size=30, p=2, metric='minkowski', metric_params=None, n_jobs=None)

OnnxOperatorMixin for RadiusNeighborsRegressor

OnnxSklearnRandomForestClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRandomForestClassifier(n_estimators=100, *, criterion='gini', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features='sqrt', max_leaf_nodes=None, min_impurity_decrease=0.0, bootstrap=True, oob_score=False, n_jobs=None, random_state=None, verbose=0, warm_start=False, class_weight=None, ccp_alpha=0.0, max_samples=None, monotonic_cst=None)

OnnxOperatorMixin for RandomForestClassifier

OnnxSklearnRandomForestRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRandomForestRegressor(n_estimators=100, *, criterion='squared_error', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=1.0, max_leaf_nodes=None, min_impurity_decrease=0.0, bootstrap=True, oob_score=False, n_jobs=None, random_state=None, verbose=0, warm_start=False, ccp_alpha=0.0, max_samples=None, monotonic_cst=None)

OnnxOperatorMixin for RandomForestRegressor

OnnxSklearnRandomTreesEmbedding

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRandomTreesEmbedding(n_estimators=100, *, max_depth=5, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_leaf_nodes=None, min_impurity_decrease=0.0, sparse_output=True, n_jobs=None, random_state=None, verbose=0, warm_start=False)

OnnxOperatorMixin for RandomTreesEmbedding

OnnxSklearnRidge

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRidge(alpha=1.0, *, fit_intercept=True, copy_X=True, max_iter=None, tol=0.0001, solver='auto', positive=False, random_state=None)

OnnxOperatorMixin for Ridge

OnnxSklearnRidgeCV

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRidgeCV(alphas=(0.1, 1.0, 10.0), *, fit_intercept=True, scoring=None, cv=None, gcv_mode=None, store_cv_results=None, alpha_per_target=False, store_cv_values='deprecated')

OnnxOperatorMixin for RidgeCV

OnnxSklearnRidgeClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRidgeClassifier(alpha=1.0, *, fit_intercept=True, copy_X=True, max_iter=None, tol=0.0001, class_weight=None, solver='auto', positive=False, random_state=None)

OnnxOperatorMixin for RidgeClassifier

OnnxSklearnRidgeClassifierCV

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRidgeClassifierCV(alphas=(0.1, 1.0, 10.0), *, fit_intercept=True, scoring=None, cv=None, class_weight=None, store_cv_results=None, store_cv_values='deprecated')

OnnxOperatorMixin for RidgeClassifierCV

OnnxSklearnRobustScaler

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRobustScaler(*, with_centering=True, with_scaling=True, quantile_range=(25.0, 75.0), copy=True, unit_variance=False)

OnnxOperatorMixin for RobustScaler

OnnxSklearnSGDClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSGDClassifier(loss='hinge', *, penalty='l2', alpha=0.0001, l1_ratio=0.15, fit_intercept=True, max_iter=1000, tol=0.001, shuffle=True, verbose=0, epsilon=0.1, n_jobs=None, random_state=None, learning_rate='optimal', eta0=0.0, power_t=0.5, early_stopping=False, validation_fraction=0.1, n_iter_no_change=5, class_weight=None, warm_start=False, average=False)

OnnxOperatorMixin for SGDClassifier

OnnxSklearnSGDOneClassSVM

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSGDOneClassSVM(nu=0.5, fit_intercept=True, max_iter=1000, tol=0.001, shuffle=True, verbose=0, random_state=None, learning_rate='optimal', eta0=0.0, power_t=0.5, warm_start=False, average=False)

OnnxOperatorMixin for SGDOneClassSVM

OnnxSklearnSGDRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSGDRegressor(loss='squared_error', *, penalty='l2', alpha=0.0001, l1_ratio=0.15, fit_intercept=True, max_iter=1000, tol=0.001, shuffle=True, verbose=0, epsilon=0.1, random_state=None, learning_rate='invscaling', eta0=0.01, power_t=0.25, early_stopping=False, validation_fraction=0.1, n_iter_no_change=5, warm_start=False, average=False)

OnnxOperatorMixin for SGDRegressor

OnnxSklearnSVC

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSVC(*, C=1.0, kernel='rbf', degree=3, gamma='scale', coef0=0.0, shrinking=True, probability=False, tol=0.001, cache_size=200, class_weight=None, verbose=False, max_iter=-1, decision_function_shape='ovr', break_ties=False, random_state=None)

OnnxOperatorMixin for SVC

OnnxSklearnSVR

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSVR(*, kernel='rbf', degree=3, gamma='scale', coef0=0.0, tol=0.001, C=1.0, epsilon=0.1, shrinking=True, cache_size=200, verbose=False, max_iter=-1)

OnnxOperatorMixin for SVR

OnnxSklearnSelectFdr

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSelectFdr(score_func=<function f_classif>, *, alpha=0.05)

OnnxOperatorMixin for SelectFdr

OnnxSklearnSelectFpr

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSelectFpr(score_func=<function f_classif>, *, alpha=0.05)

OnnxOperatorMixin for SelectFpr

OnnxSklearnSelectFromModel

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSelectFromModel(estimator, *, threshold=None, prefit=False, norm_order=1, max_features=None, importance_getter='auto')

OnnxOperatorMixin for SelectFromModel

OnnxSklearnSelectFwe

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSelectFwe(score_func=<function f_classif>, *, alpha=0.05)

OnnxOperatorMixin for SelectFwe

OnnxSklearnSelectKBest

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSelectKBest(score_func=<function f_classif>, *, k=10)

OnnxOperatorMixin for SelectKBest

OnnxSklearnSelectPercentile

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSelectPercentile(score_func=<function f_classif>, *, percentile=10)

OnnxOperatorMixin for SelectPercentile

OnnxSklearnSimpleImputer

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSimpleImputer(*, missing_values=nan, strategy='mean', fill_value=None, copy=True, add_indicator=False, keep_empty_features=False)

OnnxOperatorMixin for SimpleImputer

OnnxSklearnStackingClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnStackingClassifier(estimators, final_estimator=None, *, cv=None, stack_method='auto', n_jobs=None, passthrough=False, verbose=0)

OnnxOperatorMixin for StackingClassifier

OnnxSklearnStackingRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnStackingRegressor(estimators, final_estimator=None, *, cv=None, n_jobs=None, passthrough=False, verbose=0)

OnnxOperatorMixin for StackingRegressor

OnnxSklearnStandardScaler

class skl2onnx.algebra.sklearn_ops.OnnxSklearnStandardScaler(*, copy=True, with_mean=True, with_std=True)

OnnxOperatorMixin for StandardScaler

OnnxSklearnTfidfTransformer

class skl2onnx.algebra.sklearn_ops.OnnxSklearnTfidfTransformer(*, norm='l2', use_idf=True, smooth_idf=True, sublinear_tf=False)

OnnxOperatorMixin for TfidfTransformer

OnnxSklearnTfidfVectorizer

class skl2onnx.algebra.sklearn_ops.OnnxSklearnTfidfVectorizer(*, input='content', encoding='utf-8', decode_error='strict', strip_accents=None, lowercase=True, preprocessor=None, tokenizer=None, analyzer='word', stop_words=None, token_pattern='(?u)\\b\\w\\w+\\b', ngram_range=(1, 1), max_df=1.0, min_df=1, max_features=None, vocabulary=None, binary=False, dtype=<class 'numpy.float64'>, norm='l2', use_idf=True, smooth_idf=True, sublinear_tf=False)

OnnxOperatorMixin for TfidfVectorizer

OnnxSklearnTheilSenRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnTheilSenRegressor(*, fit_intercept=True, copy_X=True, max_subpopulation=10000.0, n_subsamples=None, max_iter=300, tol=0.001, random_state=None, n_jobs=None, verbose=False)

OnnxOperatorMixin for TheilSenRegressor

OnnxSklearnTruncatedSVD

class skl2onnx.algebra.sklearn_ops.OnnxSklearnTruncatedSVD(n_components=2, *, algorithm='randomized', n_iter=5, n_oversamples=10, power_iteration_normalizer='auto', random_state=None, tol=0.0)

OnnxOperatorMixin for TruncatedSVD

OnnxSklearnTunedThresholdClassifierCV

class skl2onnx.algebra.sklearn_ops.OnnxSklearnTunedThresholdClassifierCV(estimator, *, scoring='balanced_accuracy', response_method='auto', thresholds=100, cv=None, refit=True, n_jobs=None, random_state=None, store_cv_results=False)

OnnxOperatorMixin for TunedThresholdClassifierCV

OnnxSklearnTweedieRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnTweedieRegressor(*, power=0.0, alpha=1.0, fit_intercept=True, link='auto', solver='lbfgs', max_iter=100, tol=0.0001, warm_start=False, verbose=0)

OnnxOperatorMixin for TweedieRegressor

OnnxSklearnVarianceThreshold

class skl2onnx.algebra.sklearn_ops.OnnxSklearnVarianceThreshold(threshold=0.0)

OnnxOperatorMixin for VarianceThreshold

OnnxSklearnVotingClassifier

class skl2onnx.algebra.sklearn_ops.OnnxSklearnVotingClassifier(estimators, *, voting='hard', weights=None, n_jobs=None, flatten_transform=True, verbose=False)

OnnxOperatorMixin for VotingClassifier

OnnxSklearnVotingRegressor

class skl2onnx.algebra.sklearn_ops.OnnxSklearnVotingRegressor(estimators, *, weights=None, n_jobs=None, verbose=False)

OnnxOperatorMixin for VotingRegressor

OnnxSklearn_ConstantPredictor

class skl2onnx.algebra.sklearn_ops.OnnxSklearn_ConstantPredictor

OnnxOperatorMixin for _ConstantPredictor

Pipeline

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPipeline(steps, *, memory=None, verbose=False)

OnnxOperatorMixin for Pipeline

onnx_converter()

Returns a converter for this model. If not overloaded, it fetches the converter mapped to the first scikit-learn parent it can find.

onnx_parser()

Returns a parser for this model. If not overloaded, it calls the converter to guess the number of outputs. If it still fails, it fetches the parser mapped to the first scikit-learn parent it can find.

onnx_shape_calculator()

Returns a shape calculator for this model. If not overloaded, it fetches the parser mapped to the first scikit-learn parent it can find.

to_onnx(X=None, name=None, options=None, white_op=None, black_op=None, final_types=None, target_opset=None, verbose=0)

Converts the model in ONNX format. It calls method _to_onnx which must be overloaded.

Parameters:

• X – training data, at least one sample, it is used to guess the type of the input data.

• name – name of the model, if None, it is replaced by the the class name.

• options – specific options given to converters (see Converters with options)

• white_op – white list of ONNX nodes allowed while converting a pipeline, if empty, all are allowed

• black_op – black list of ONNX nodes allowed while converting a pipeline, if empty, none are blacklisted

• final_types – a python list. Works the same way as initial_types but not mandatory, it is used to overwrites the type (if type is not None) and the name of every output.

• target_opset – to overwrite self.op_version

• verbose – displays information while converting

to_onnx_operator(inputs=None, outputs=None, target_opset=None, options=None)

This function must be overloaded.

class skl2onnx.algebra.sklearn_ops.OnnxSklearnColumnTransformer(transformers, *, remainder='drop', sparse_threshold=0.3, n_jobs=None, transformer_weights=None, verbose=False, verbose_feature_names_out=True, force_int_remainder_cols=True)

OnnxOperatorMixin for ColumnTransformer

onnx_converter()

Returns a converter for this model. If not overloaded, it fetches the converter mapped to the first scikit-learn parent it can find.

onnx_parser()

Returns a parser for this model. If not overloaded, it calls the converter to guess the number of outputs. If it still fails, it fetches the parser mapped to the first scikit-learn parent it can find.

onnx_shape_calculator()

Returns a shape calculator for this model. If not overloaded, it fetches the parser mapped to the first scikit-learn parent it can find.

to_onnx(X=None, name=None, options=None, white_op=None, black_op=None, final_types=None, target_opset=None, verbose=0)

Converts the model in ONNX format. It calls method _to_onnx which must be overloaded.

Parameters:

• X – training data, at least one sample, it is used to guess the type of the input data.

• name – name of the model, if None, it is replaced by the the class name.

• options – specific options given to converters (see Converters with options)

• white_op – white list of ONNX nodes allowed while converting a pipeline, if empty, all are allowed

• black_op – black list of ONNX nodes allowed while converting a pipeline, if empty, none are blacklisted

• final_types – a python list. Works the same way as initial_types but not mandatory, it is used to overwrites the type (if type is not None) and the name of every output.

• target_opset – to overwrite self.op_version

• verbose – displays information while converting

to_onnx_operator(inputs=None, outputs=None, target_opset=None, options=None)

This function must be overloaded.

class skl2onnx.algebra.sklearn_ops.OnnxSklearnFeatureUnion(transformer_list, *, n_jobs=None, transformer_weights=None, verbose=False, verbose_feature_names_out=True)

OnnxOperatorMixin for FeatureUnion

onnx_converter()

Returns a converter for this model. If not overloaded, it fetches the converter mapped to the first scikit-learn parent it can find.

onnx_parser()

Returns a parser for this model. If not overloaded, it calls the converter to guess the number of outputs. If it still fails, it fetches the parser mapped to the first scikit-learn parent it can find.

onnx_shape_calculator()

Returns a shape calculator for this model. If not overloaded, it fetches the parser mapped to the first scikit-learn parent it can find.

to_onnx(X=None, name=None, options=None, white_op=None, black_op=None, final_types=None, target_opset=None, verbose=0)

Converts the model in ONNX format. It calls method _to_onnx which must be overloaded.

Parameters:

• X – training data, at least one sample, it is used to guess the type of the input data.

• name – name of the model, if None, it is replaced by the the class name.

• options – specific options given to converters (see Converters with options)

• white_op – white list of ONNX nodes allowed while converting a pipeline, if empty, all are allowed

• black_op – black list of ONNX nodes allowed while converting a pipeline, if empty, none are blacklisted

• final_types – a python list. Works the same way as initial_types but not mandatory, it is used to overwrites the type (if type is not None) and the name of every output.

• target_opset – to overwrite self.op_version

• verbose – displays information while converting

to_onnx_operator(inputs=None, outputs=None, target_opset=None, options=None)

This function must be overloaded.

Available ONNX operators

skl2onnx maps every ONNX operators into a class easy to insert into a graph. These operators get dynamically added and the list depends on the installed ONNX package. The documentation for these operators can be found on github: ONNX Operators.md and ONNX-ML Operators. Associated to onnxruntime, the mapping makes it easier to easily check the output of the ONNX operators on any data as shown in example Play with ONNX operators.

OnnxAbs	OnnxGradient_1	OnnxReduceL1_11
OnnxAbs_1	OnnxGreater	OnnxReduceL1_13
OnnxAbs_13	OnnxGreaterOrEqual	OnnxReduceL1_18
OnnxAbs_6	OnnxGreaterOrEqual_12	OnnxReduceL2
OnnxAcos	OnnxGreaterOrEqual_16	OnnxReduceL2_1
OnnxAcos_22	OnnxGreater_1	OnnxReduceL2_11
OnnxAcos_7	OnnxGreater_13	OnnxReduceL2_13
OnnxAcosh	OnnxGreater_7	OnnxReduceL2_18
OnnxAcosh_22	OnnxGreater_9	OnnxReduceLogSum
OnnxAcosh_9	OnnxGridSample	OnnxReduceLogSumExp
OnnxAdagrad	OnnxGridSample_16	OnnxReduceLogSumExp_1
OnnxAdagrad_1	OnnxGridSample_20	OnnxReduceLogSumExp_11
OnnxAdam	OnnxGridSample_22	OnnxReduceLogSumExp_13
OnnxAdam_1	OnnxGroupNormalization	OnnxReduceLogSumExp_18
OnnxAdd	OnnxGroupNormalization_18	OnnxReduceLogSum_1
OnnxAdd_1	OnnxGroupNormalization_21	OnnxReduceLogSum_11
OnnxAdd_13	OnnxHammingWindow	OnnxReduceLogSum_13
OnnxAdd_14	OnnxHammingWindow_17	OnnxReduceLogSum_18
OnnxAdd_6	OnnxHannWindow	OnnxReduceMax
OnnxAdd_7	OnnxHannWindow_17	OnnxReduceMax_1
OnnxAffineGrid	OnnxHardSigmoid	OnnxReduceMax_11
OnnxAffineGrid_20	OnnxHardSigmoid_1	OnnxReduceMax_12
OnnxAnd	OnnxHardSigmoid_22	OnnxReduceMax_13
OnnxAnd_1	OnnxHardSigmoid_6	OnnxReduceMax_18
OnnxAnd_7	OnnxHardSwish	OnnxReduceMax_20
OnnxArgMax	OnnxHardSwish_14	OnnxReduceMean
OnnxArgMax_1	OnnxHardSwish_22	OnnxReduceMean_1
OnnxArgMax_11	OnnxHardmax	OnnxReduceMean_11
OnnxArgMax_12	OnnxHardmax_1	OnnxReduceMean_13
OnnxArgMax_13	OnnxHardmax_11	OnnxReduceMean_18
OnnxArgMin	OnnxHardmax_13	OnnxReduceMin
OnnxArgMin_1	OnnxIdentity	OnnxReduceMin_1
OnnxArgMin_11	OnnxIdentity_1	OnnxReduceMin_11
OnnxArgMin_12	OnnxIdentity_13	OnnxReduceMin_12
OnnxArgMin_13	OnnxIdentity_14	OnnxReduceMin_13
OnnxArrayFeatureExtractor	OnnxIdentity_16	OnnxReduceMin_18
OnnxArrayFeatureExtractor_1	OnnxIdentity_19	OnnxReduceMin_20
OnnxAsin	OnnxIdentity_21	OnnxReduceProd
OnnxAsin_22	OnnxIf	OnnxReduceProd_1
OnnxAsin_7	OnnxIf_1	OnnxReduceProd_11
OnnxAsinh	OnnxIf_11	OnnxReduceProd_13
OnnxAsinh_22	OnnxIf_13	OnnxReduceProd_18
OnnxAsinh_9	OnnxIf_16	OnnxReduceSum
OnnxAtan	OnnxIf_19	OnnxReduceSumSquare
OnnxAtan_22	OnnxIf_21	OnnxReduceSumSquare_1
OnnxAtan_7	OnnxImageDecoder	OnnxReduceSumSquare_11
OnnxAtanh	OnnxImageDecoder_20	OnnxReduceSumSquare_13
OnnxAtanh_22	OnnxImputer	OnnxReduceSumSquare_18
OnnxAtanh_9	OnnxImputer_1	OnnxReduceSum_1
OnnxAveragePool	OnnxInstanceNormalization	OnnxReduceSum_11
OnnxAveragePool_1	OnnxInstanceNormalization_1	OnnxReduceSum_13
OnnxAveragePool_10	OnnxInstanceNormalization_22	OnnxRegexFullMatch
OnnxAveragePool_11	OnnxInstanceNormalization_6	OnnxRegexFullMatch_20
OnnxAveragePool_19	OnnxIsInf	OnnxRelu
OnnxAveragePool_22	OnnxIsInf_10	OnnxRelu_1
OnnxAveragePool_7	OnnxIsInf_20	OnnxRelu_13
OnnxBatchNormalization	OnnxIsNaN	OnnxRelu_14
OnnxBatchNormalization_1	OnnxIsNaN_13	OnnxRelu_6
OnnxBatchNormalization_14	OnnxIsNaN_20	OnnxReshape
OnnxBatchNormalization_15	OnnxIsNaN_9	OnnxReshape_1
OnnxBatchNormalization_6	OnnxLRN	OnnxReshape_13
OnnxBatchNormalization_7	OnnxLRN_1	OnnxReshape_14
OnnxBatchNormalization_9	OnnxLRN_13	OnnxReshape_19
OnnxBernoulli	OnnxLSTM	OnnxReshape_21
OnnxBernoulli_15	OnnxLSTM_1	OnnxReshape_5
OnnxBernoulli_22	OnnxLSTM_14	OnnxResize
OnnxBinarizer	OnnxLSTM_22	OnnxResize_10
OnnxBinarizer_1	OnnxLSTM_7	OnnxResize_11
OnnxBitShift	OnnxLabelEncoder	OnnxResize_13
OnnxBitShift_11	OnnxLabelEncoder_1	OnnxResize_18
OnnxBitwiseAnd	OnnxLabelEncoder_2	OnnxResize_19
OnnxBitwiseAnd_18	OnnxLabelEncoder_4	OnnxReverseSequence
OnnxBitwiseNot	OnnxLayerNormalization	OnnxReverseSequence_10
OnnxBitwiseNot_18	OnnxLayerNormalization_17	OnnxRoiAlign
OnnxBitwiseOr	OnnxLeakyRelu	OnnxRoiAlign_10
OnnxBitwiseOr_18	OnnxLeakyRelu_1	OnnxRoiAlign_16
OnnxBitwiseXor	OnnxLeakyRelu_16	OnnxRoiAlign_22
OnnxBitwiseXor_18	OnnxLeakyRelu_6	OnnxRound
OnnxBlackmanWindow	OnnxLess	OnnxRound_11
OnnxBlackmanWindow_17	OnnxLessOrEqual	OnnxRound_22
OnnxCast	OnnxLessOrEqual_12	OnnxSTFT
OnnxCastLike	OnnxLessOrEqual_16	OnnxSTFT_17
OnnxCastLike_15	OnnxLess_1	OnnxSVMClassifier
OnnxCastLike_19	OnnxLess_13	OnnxSVMClassifier_1
OnnxCastLike_21	OnnxLess_7	OnnxSVMRegressor
OnnxCastMap	OnnxLess_9	OnnxSVMRegressor_1
OnnxCastMap_1	OnnxLinearClassifier	OnnxScaler
OnnxCast_1	OnnxLinearClassifier_1	OnnxScaler_1
OnnxCast_13	OnnxLinearRegressor	OnnxScan
OnnxCast_19	OnnxLinearRegressor_1	OnnxScan_11
OnnxCast_21	OnnxLog	OnnxScan_16
OnnxCast_6	OnnxLogSoftmax	OnnxScan_19
OnnxCast_9	OnnxLogSoftmax_1	OnnxScan_21
OnnxCategoryMapper	OnnxLogSoftmax_11	OnnxScan_8
OnnxCategoryMapper_1	OnnxLogSoftmax_13	OnnxScan_9
OnnxCeil	OnnxLog_1	OnnxScatter
OnnxCeil_1	OnnxLog_13	OnnxScatterElements
OnnxCeil_13	OnnxLog_6	OnnxScatterElements_11
OnnxCeil_6	OnnxLoop	OnnxScatterElements_13
OnnxCelu	OnnxLoop_1	OnnxScatterElements_16
OnnxCelu_12	OnnxLoop_11	OnnxScatterElements_18
OnnxCenterCropPad	OnnxLoop_13	OnnxScatterND
OnnxCenterCropPad_18	OnnxLoop_16	OnnxScatterND_11
OnnxClip	OnnxLoop_19	OnnxScatterND_13
OnnxClip_1	OnnxLoop_21	OnnxScatterND_16
OnnxClip_11	OnnxLpNormalization	OnnxScatterND_18
OnnxClip_12	OnnxLpNormalization_1	OnnxScatter_11
OnnxClip_13	OnnxLpNormalization_22	OnnxScatter_9
OnnxClip_6	OnnxLpPool	OnnxSelu
OnnxCol2Im	OnnxLpPool_1	OnnxSelu_1
OnnxCol2Im_18	OnnxLpPool_11	OnnxSelu_22
OnnxCompress	OnnxLpPool_18	OnnxSelu_6
OnnxCompress_11	OnnxLpPool_2	OnnxSequenceAt
OnnxCompress_9	OnnxLpPool_22	OnnxSequenceAt_11
OnnxConcat	OnnxMatMul	OnnxSequenceConstruct
OnnxConcatFromSequence	OnnxMatMulInteger	OnnxSequenceConstruct_11
OnnxConcatFromSequence_11	OnnxMatMulInteger_10	OnnxSequenceEmpty
OnnxConcat_1	OnnxMatMul_1	OnnxSequenceEmpty_11
OnnxConcat_11	OnnxMatMul_13	OnnxSequenceErase
OnnxConcat_13	OnnxMatMul_9	OnnxSequenceErase_11
OnnxConcat_4	OnnxMax	OnnxSequenceInsert
OnnxConstant	OnnxMaxPool	OnnxSequenceInsert_11
OnnxConstantOfShape	OnnxMaxPool_1	OnnxSequenceLength
OnnxConstantOfShape_20	OnnxMaxPool_10	OnnxSequenceLength_11
OnnxConstantOfShape_21	OnnxMaxPool_11	OnnxSequenceMap
OnnxConstantOfShape_9	OnnxMaxPool_12	OnnxSequenceMap_17
OnnxConstant_1	OnnxMaxPool_22	OnnxShape
OnnxConstant_11	OnnxMaxPool_8	OnnxShape_1
OnnxConstant_12	OnnxMaxRoiPool	OnnxShape_13
OnnxConstant_13	OnnxMaxRoiPool_1	OnnxShape_15
OnnxConstant_19	OnnxMaxRoiPool_22	OnnxShape_19
OnnxConstant_21	OnnxMaxUnpool	OnnxShape_21
OnnxConstant_9	OnnxMaxUnpool_11	OnnxShrink
OnnxConv	OnnxMaxUnpool_22	OnnxShrink_9
OnnxConvInteger	OnnxMaxUnpool_9	OnnxSigmoid
OnnxConvInteger_10	OnnxMax_1	OnnxSigmoid_1
OnnxConvTranspose	OnnxMax_12	OnnxSigmoid_13
OnnxConvTranspose_1	OnnxMax_13	OnnxSigmoid_6
OnnxConvTranspose_11	OnnxMax_6	OnnxSign
OnnxConvTranspose_22	OnnxMax_8	OnnxSign_13
OnnxConv_1	OnnxMean	OnnxSign_9
OnnxConv_11	OnnxMeanVarianceNormalization	OnnxSin
OnnxConv_22	OnnxMeanVarianceNormalization_13	OnnxSin_22
OnnxCos	OnnxMeanVarianceNormalization_9	OnnxSin_7
OnnxCos_22	OnnxMean_1	OnnxSinh
OnnxCos_7	OnnxMean_13	OnnxSinh_22
OnnxCosh	OnnxMean_6	OnnxSinh_9
OnnxCosh_22	OnnxMean_8	OnnxSize
OnnxCosh_9	OnnxMelWeightMatrix	OnnxSize_1
OnnxCumSum	OnnxMelWeightMatrix_17	OnnxSize_13
OnnxCumSum_11	OnnxMin	OnnxSize_19
OnnxCumSum_14	OnnxMin_1	OnnxSize_21
OnnxDFT	OnnxMin_12	OnnxSlice
OnnxDFT_17	OnnxMin_13	OnnxSlice_1
OnnxDFT_20	OnnxMin_6	OnnxSlice_10
OnnxDeformConv	OnnxMin_8	OnnxSlice_11
OnnxDeformConv_19	OnnxMish	OnnxSlice_13
OnnxDeformConv_22	OnnxMish_18	OnnxSoftmax
OnnxDepthToSpace	OnnxMish_22	OnnxSoftmaxCrossEntropyLoss
OnnxDepthToSpace_1	OnnxMod	OnnxSoftmaxCrossEntropyLoss_12
OnnxDepthToSpace_11	OnnxMod_10	OnnxSoftmaxCrossEntropyLoss_13
OnnxDepthToSpace_13	OnnxMod_13	OnnxSoftmax_1
OnnxDequantizeLinear	OnnxMomentum	OnnxSoftmax_11
OnnxDequantizeLinear_10	OnnxMomentum_1	OnnxSoftmax_13
OnnxDequantizeLinear_13	OnnxMul	OnnxSoftplus
OnnxDequantizeLinear_19	OnnxMul_1	OnnxSoftplus_1
OnnxDequantizeLinear_21	OnnxMul_13	OnnxSoftplus_22
OnnxDet	OnnxMul_14	OnnxSoftsign
OnnxDet_11	OnnxMul_6	OnnxSoftsign_1
OnnxDet_22	OnnxMul_7	OnnxSoftsign_22
OnnxDictVectorizer	OnnxMultinomial	OnnxSpaceToDepth
OnnxDictVectorizer_1	OnnxMultinomial_22	OnnxSpaceToDepth_1
OnnxDiv	OnnxMultinomial_7	OnnxSpaceToDepth_13
OnnxDiv_1	OnnxNeg	OnnxSplit
OnnxDiv_13	OnnxNeg_1	OnnxSplitToSequence
OnnxDiv_14	OnnxNeg_13	OnnxSplitToSequence_11
OnnxDiv_6	OnnxNeg_6	OnnxSplit_1
OnnxDiv_7	OnnxNegativeLogLikelihoodLoss	OnnxSplit_11
OnnxDropout	OnnxNegativeLogLikelihoodLoss_12	OnnxSplit_13
OnnxDropout_1	OnnxNegativeLogLikelihoodLoss_13	OnnxSplit_18
OnnxDropout_10	OnnxNegativeLogLikelihoodLoss_22	OnnxSplit_2
OnnxDropout_12	OnnxNonMaxSuppression	OnnxSqrt
OnnxDropout_13	OnnxNonMaxSuppression_10	OnnxSqrt_1
OnnxDropout_22	OnnxNonMaxSuppression_11	OnnxSqrt_13
OnnxDropout_6	OnnxNonZero	OnnxSqrt_6
OnnxDropout_7	OnnxNonZero_13	OnnxSqueeze
OnnxDynamicQuantizeLinear	OnnxNonZero_9	OnnxSqueeze_1
OnnxDynamicQuantizeLinear_11	OnnxNormalizer	OnnxSqueeze_11
OnnxEinsum	OnnxNormalizer_1	OnnxSqueeze_13
OnnxEinsum_12	OnnxNot	OnnxSqueeze_21
OnnxElu	OnnxNot_1	OnnxStringConcat
OnnxElu_1	OnnxOneHot	OnnxStringConcat_20
OnnxElu_22	OnnxOneHotEncoder	OnnxStringNormalizer
OnnxElu_6	OnnxOneHotEncoder_1	OnnxStringNormalizer_10
OnnxEqual	OnnxOneHot_11	OnnxStringSplit
OnnxEqual_1	OnnxOneHot_9	OnnxStringSplit_20
OnnxEqual_11	OnnxOptional	OnnxSub
OnnxEqual_13	OnnxOptionalGetElement	OnnxSub_1
OnnxEqual_19	OnnxOptionalGetElement_15	OnnxSub_13
OnnxEqual_7	OnnxOptionalGetElement_18	OnnxSub_14
OnnxErf	OnnxOptionalHasElement	OnnxSub_6
OnnxErf_13	OnnxOptionalHasElement_15	OnnxSub_7
OnnxErf_9	OnnxOptionalHasElement_18	OnnxSum
OnnxExp	OnnxOptional_15	OnnxSum_1
OnnxExp_1	OnnxOr	OnnxSum_13
OnnxExp_13	OnnxOr_1	OnnxSum_6
OnnxExp_6	OnnxOr_7	OnnxSum_8
OnnxExpand	OnnxPRelu	OnnxTan
OnnxExpand_13	OnnxPRelu_1	OnnxTan_22
OnnxExpand_8	OnnxPRelu_16	OnnxTan_7
OnnxEyeLike	OnnxPRelu_6	OnnxTanh
OnnxEyeLike_22	OnnxPRelu_7	OnnxTanh_1
OnnxEyeLike_9	OnnxPRelu_9	OnnxTanh_13
OnnxFeatureVectorizer	OnnxPad	OnnxTanh_6
OnnxFeatureVectorizer_1	OnnxPad_1	OnnxTfIdfVectorizer
OnnxFlatten	OnnxPad_11	OnnxTfIdfVectorizer_9
OnnxFlatten_1	OnnxPad_13	OnnxThresholdedRelu
OnnxFlatten_11	OnnxPad_18	OnnxThresholdedRelu_10
OnnxFlatten_13	OnnxPad_19	OnnxThresholdedRelu_22
OnnxFlatten_21	OnnxPad_2	OnnxTile
OnnxFlatten_9	OnnxPad_21	OnnxTile_1
OnnxFloor	OnnxPow	OnnxTile_13
OnnxFloor_1	OnnxPow_1	OnnxTile_6
OnnxFloor_13	OnnxPow_12	OnnxTopK
OnnxFloor_6	OnnxPow_13	OnnxTopK_1
OnnxGRU	OnnxPow_15	OnnxTopK_10
OnnxGRU_1	OnnxPow_7	OnnxTopK_11
OnnxGRU_14	OnnxQLinearConv	OnnxTranspose
OnnxGRU_22	OnnxQLinearConv_10	OnnxTranspose_1
OnnxGRU_3	OnnxQLinearMatMul	OnnxTranspose_13
OnnxGRU_7	OnnxQLinearMatMul_10	OnnxTranspose_21
OnnxGather	OnnxQLinearMatMul_21	OnnxTreeEnsemble
OnnxGatherElements	OnnxQuantizeLinear	OnnxTreeEnsembleClassifier
OnnxGatherElements_11	OnnxQuantizeLinear_10	OnnxTreeEnsembleClassifier_1
OnnxGatherElements_13	OnnxQuantizeLinear_13	OnnxTreeEnsembleClassifier_3
OnnxGatherND	OnnxQuantizeLinear_19	OnnxTreeEnsembleClassifier_5
OnnxGatherND_11	OnnxQuantizeLinear_21	OnnxTreeEnsembleRegressor
OnnxGatherND_12	OnnxRNN	OnnxTreeEnsembleRegressor_1
OnnxGatherND_13	OnnxRNN_1	OnnxTreeEnsembleRegressor_3
OnnxGather_1	OnnxRNN_14	OnnxTreeEnsembleRegressor_5
OnnxGather_11	OnnxRNN_22	OnnxTreeEnsemble_5
OnnxGather_13	OnnxRNN_7	OnnxTrilu
OnnxGelu	OnnxRandomNormal	OnnxTrilu_14
OnnxGelu_20	OnnxRandomNormalLike	OnnxUnique
OnnxGemm	OnnxRandomNormalLike_1	OnnxUnique_11
OnnxGemm_1	OnnxRandomNormalLike_22	OnnxUnsqueeze
OnnxGemm_11	OnnxRandomNormal_1	OnnxUnsqueeze_1
OnnxGemm_13	OnnxRandomNormal_22	OnnxUnsqueeze_11
OnnxGemm_6	OnnxRandomUniform	OnnxUnsqueeze_13
OnnxGemm_7	OnnxRandomUniformLike	OnnxUnsqueeze_21
OnnxGemm_9	OnnxRandomUniformLike_1	OnnxUpsample
OnnxGlobalAveragePool	OnnxRandomUniformLike_22	OnnxUpsample_10
OnnxGlobalAveragePool_1	OnnxRandomUniform_1	OnnxUpsample_7
OnnxGlobalAveragePool_22	OnnxRandomUniform_22	OnnxUpsample_9
OnnxGlobalLpPool	OnnxRange	OnnxWhere
OnnxGlobalLpPool_1	OnnxRange_11	OnnxWhere_16
OnnxGlobalLpPool_2	OnnxReciprocal	OnnxWhere_9
OnnxGlobalLpPool_22	OnnxReciprocal_1	OnnxXor
OnnxGlobalMaxPool	OnnxReciprocal_13	OnnxXor_1
OnnxGlobalMaxPool_1	OnnxReciprocal_6	OnnxXor_7
OnnxGlobalMaxPool_22	OnnxReduceL1	OnnxZipMap
OnnxGradient	OnnxReduceL1_1	OnnxZipMap_1

OnnxAbs

class skl2onnx.algebra.onnx_ops.OnnxAbs(*args, **kwargs)

**Version**See Abs.

OnnxAbs_1

class skl2onnx.algebra.onnx_ops.OnnxAbs_1(*args, **kwargs)

**Version**See Abs_1.

OnnxAbs_13

class skl2onnx.algebra.onnx_ops.OnnxAbs_13(*args, **kwargs)

**Version**See Abs_13.

OnnxAbs_6

class skl2onnx.algebra.onnx_ops.OnnxAbs_6(*args, **kwargs)

**Version**See Abs_6.

OnnxAcos

class skl2onnx.algebra.onnx_ops.OnnxAcos(*args, **kwargs)

**Version**See Acos.

OnnxAcos_22

class skl2onnx.algebra.onnx_ops.OnnxAcos_22(*args, **kwargs)

**Version**See Acos_22.

OnnxAcos_7

class skl2onnx.algebra.onnx_ops.OnnxAcos_7(*args, **kwargs)

**Version**See Acos_7.

OnnxAcosh

class skl2onnx.algebra.onnx_ops.OnnxAcosh(*args, **kwargs)

**Version**See Acosh.

OnnxAcosh_22

class skl2onnx.algebra.onnx_ops.OnnxAcosh_22(*args, **kwargs)

**Version**See Acosh_22.

OnnxAcosh_9

class skl2onnx.algebra.onnx_ops.OnnxAcosh_9(*args, **kwargs)

**Version**See Acosh_9.

OnnxAdagrad

class skl2onnx.algebra.onnx_ops.OnnxAdagrad(*args, **kwargs)

**Version**See Adagrad.

OnnxAdagrad_1

class skl2onnx.algebra.onnx_ops.OnnxAdagrad_1(*args, **kwargs)

**Version**See Adagrad_1.

OnnxAdam

class skl2onnx.algebra.onnx_ops.OnnxAdam(*args, **kwargs)

**Version**See Adam.

OnnxAdam_1

class skl2onnx.algebra.onnx_ops.OnnxAdam_1(*args, **kwargs)

**Version**See Adam_1.

OnnxAdd

class skl2onnx.algebra.onnx_ops.OnnxAdd(*args, **kwargs)

**Version**See Add.

OnnxAdd_1

class skl2onnx.algebra.onnx_ops.OnnxAdd_1(*args, **kwargs)

**Version**See Add_1.

OnnxAdd_13

class skl2onnx.algebra.onnx_ops.OnnxAdd_13(*args, **kwargs)

**Version**See Add_13.

OnnxAdd_14

class skl2onnx.algebra.onnx_ops.OnnxAdd_14(*args, **kwargs)

**Version**See Add_14.

OnnxAdd_6

class skl2onnx.algebra.onnx_ops.OnnxAdd_6(*args, **kwargs)

**Version**See Add_6.

OnnxAdd_7

class skl2onnx.algebra.onnx_ops.OnnxAdd_7(*args, **kwargs)

**Version**See Add_7.

OnnxAffineGrid

class skl2onnx.algebra.onnx_ops.OnnxAffineGrid(*args, **kwargs)

**Version**See AffineGrid.

OnnxAffineGrid_20

class skl2onnx.algebra.onnx_ops.OnnxAffineGrid_20(*args, **kwargs)

**Version**See AffineGrid_20.

OnnxAnd

class skl2onnx.algebra.onnx_ops.OnnxAnd(*args, **kwargs)

**Version**See And.

OnnxAnd_1

class skl2onnx.algebra.onnx_ops.OnnxAnd_1(*args, **kwargs)

**Version**See And_1.

OnnxAnd_7

class skl2onnx.algebra.onnx_ops.OnnxAnd_7(*args, **kwargs)

**Version**See And_7.

OnnxArgMax

class skl2onnx.algebra.onnx_ops.OnnxArgMax(*args, **kwargs)

**Version**See ArgMax.

OnnxArgMax_1

class skl2onnx.algebra.onnx_ops.OnnxArgMax_1(*args, **kwargs)

**Version**See ArgMax_1.

OnnxArgMax_11

class skl2onnx.algebra.onnx_ops.OnnxArgMax_11(*args, **kwargs)

**Version**See ArgMax_11.

OnnxArgMax_12

class skl2onnx.algebra.onnx_ops.OnnxArgMax_12(*args, **kwargs)

**Version**See ArgMax_12.

OnnxArgMax_13

class skl2onnx.algebra.onnx_ops.OnnxArgMax_13(*args, **kwargs)

**Version**See ArgMax_13.

OnnxArgMin

class skl2onnx.algebra.onnx_ops.OnnxArgMin(*args, **kwargs)

**Version**See ArgMin.

OnnxArgMin_1

class skl2onnx.algebra.onnx_ops.OnnxArgMin_1(*args, **kwargs)

**Version**See ArgMin_1.

OnnxArgMin_11

class skl2onnx.algebra.onnx_ops.OnnxArgMin_11(*args, **kwargs)

**Version**See ArgMin_11.

OnnxArgMin_12

class skl2onnx.algebra.onnx_ops.OnnxArgMin_12(*args, **kwargs)

**Version**See ArgMin_12.

OnnxArgMin_13

class skl2onnx.algebra.onnx_ops.OnnxArgMin_13(*args, **kwargs)

**Version**See ArgMin_13.

OnnxArrayFeatureExtractor

class skl2onnx.algebra.onnx_ops.OnnxArrayFeatureExtractor(*args, **kwargs)

**Version**See ArrayFeatureExtractor.

OnnxArrayFeatureExtractor_1

class skl2onnx.algebra.onnx_ops.OnnxArrayFeatureExtractor_1(*args, **kwargs)

**Version**See ArrayFeatureExtractor_1.

OnnxAsin

class skl2onnx.algebra.onnx_ops.OnnxAsin(*args, **kwargs)

**Version**See Asin.

OnnxAsin_22

class skl2onnx.algebra.onnx_ops.OnnxAsin_22(*args, **kwargs)

**Version**See Asin_22.

OnnxAsin_7

class skl2onnx.algebra.onnx_ops.OnnxAsin_7(*args, **kwargs)

**Version**See Asin_7.

OnnxAsinh

class skl2onnx.algebra.onnx_ops.OnnxAsinh(*args, **kwargs)

**Version**See Asinh.

OnnxAsinh_22

class skl2onnx.algebra.onnx_ops.OnnxAsinh_22(*args, **kwargs)

**Version**See Asinh_22.

OnnxAsinh_9

class skl2onnx.algebra.onnx_ops.OnnxAsinh_9(*args, **kwargs)

**Version**See Asinh_9.

OnnxAtan

class skl2onnx.algebra.onnx_ops.OnnxAtan(*args, **kwargs)

**Version**See Atan.

OnnxAtan_22

class skl2onnx.algebra.onnx_ops.OnnxAtan_22(*args, **kwargs)

**Version**See Atan_22.

OnnxAtan_7

class skl2onnx.algebra.onnx_ops.OnnxAtan_7(*args, **kwargs)

**Version**See Atan_7.

OnnxAtanh

class skl2onnx.algebra.onnx_ops.OnnxAtanh(*args, **kwargs)

**Version**See Atanh.

OnnxAtanh_22

class skl2onnx.algebra.onnx_ops.OnnxAtanh_22(*args, **kwargs)

**Version**See Atanh_22.

OnnxAtanh_9

class skl2onnx.algebra.onnx_ops.OnnxAtanh_9(*args, **kwargs)

**Version**See Atanh_9.

OnnxAveragePool

class skl2onnx.algebra.onnx_ops.OnnxAveragePool(*args, **kwargs)

**Version**See AveragePool.

OnnxAveragePool_1

class skl2onnx.algebra.onnx_ops.OnnxAveragePool_1(*args, **kwargs)

**Version**See AveragePool_1.

OnnxAveragePool_10

class skl2onnx.algebra.onnx_ops.OnnxAveragePool_10(*args, **kwargs)

**Version**See AveragePool_10.

OnnxAveragePool_11

class skl2onnx.algebra.onnx_ops.OnnxAveragePool_11(*args, **kwargs)

**Version**See AveragePool_11.

OnnxAveragePool_19

class skl2onnx.algebra.onnx_ops.OnnxAveragePool_19(*args, **kwargs)

**Version**See AveragePool_19.

OnnxAveragePool_22

class skl2onnx.algebra.onnx_ops.OnnxAveragePool_22(*args, **kwargs)

**Version**See AveragePool_22.

OnnxAveragePool_7

class skl2onnx.algebra.onnx_ops.OnnxAveragePool_7(*args, **kwargs)

**Version**See AveragePool_7.

OnnxBatchNormalization

class skl2onnx.algebra.onnx_ops.OnnxBatchNormalization(*args, **kwargs)

**Version**See BatchNormalization.

OnnxBatchNormalization_1

class skl2onnx.algebra.onnx_ops.OnnxBatchNormalization_1(*args, **kwargs)

**Version**See BatchNormalization_1.

OnnxBatchNormalization_14

class skl2onnx.algebra.onnx_ops.OnnxBatchNormalization_14(*args, **kwargs)

**Version**See BatchNormalization_14.

OnnxBatchNormalization_15

class skl2onnx.algebra.onnx_ops.OnnxBatchNormalization_15(*args, **kwargs)

**Version**See BatchNormalization_15.

OnnxBatchNormalization_6

class skl2onnx.algebra.onnx_ops.OnnxBatchNormalization_6(*args, **kwargs)

**Version**See BatchNormalization_6.

OnnxBatchNormalization_7

class skl2onnx.algebra.onnx_ops.OnnxBatchNormalization_7(*args, **kwargs)

**Version**See BatchNormalization_7.

OnnxBatchNormalization_9

class skl2onnx.algebra.onnx_ops.OnnxBatchNormalization_9(*args, **kwargs)

**Version**See BatchNormalization_9.

OnnxBernoulli

class skl2onnx.algebra.onnx_ops.OnnxBernoulli(*args, **kwargs)

**Version**See Bernoulli.

OnnxBernoulli_15

class skl2onnx.algebra.onnx_ops.OnnxBernoulli_15(*args, **kwargs)

**Version**See Bernoulli_15.

OnnxBernoulli_22

class skl2onnx.algebra.onnx_ops.OnnxBernoulli_22(*args, **kwargs)

**Version**See Bernoulli_22.

OnnxBinarizer

class skl2onnx.algebra.onnx_ops.OnnxBinarizer(*args, **kwargs)

**Version**See Binarizer.

OnnxBinarizer_1

class skl2onnx.algebra.onnx_ops.OnnxBinarizer_1(*args, **kwargs)

**Version**See Binarizer_1.

OnnxBitShift

class skl2onnx.algebra.onnx_ops.OnnxBitShift(*args, **kwargs)

**Version**See BitShift.

OnnxBitShift_11

class skl2onnx.algebra.onnx_ops.OnnxBitShift_11(*args, **kwargs)

**Version**See BitShift_11.

OnnxBitwiseAnd

class skl2onnx.algebra.onnx_ops.OnnxBitwiseAnd(*args, **kwargs)

**Version**See BitwiseAnd.

OnnxBitwiseAnd_18

class skl2onnx.algebra.onnx_ops.OnnxBitwiseAnd_18(*args, **kwargs)

**Version**See BitwiseAnd_18.

OnnxBitwiseNot

class skl2onnx.algebra.onnx_ops.OnnxBitwiseNot(*args, **kwargs)

**Version**See BitwiseNot.

OnnxBitwiseNot_18

class skl2onnx.algebra.onnx_ops.OnnxBitwiseNot_18(*args, **kwargs)

**Version**See BitwiseNot_18.

OnnxBitwiseOr

class skl2onnx.algebra.onnx_ops.OnnxBitwiseOr(*args, **kwargs)

**Version**See BitwiseOr.

OnnxBitwiseOr_18

class skl2onnx.algebra.onnx_ops.OnnxBitwiseOr_18(*args, **kwargs)

**Version**See BitwiseOr_18.

OnnxBitwiseXor

class skl2onnx.algebra.onnx_ops.OnnxBitwiseXor(*args, **kwargs)

**Version**See BitwiseXor.

OnnxBitwiseXor_18

class skl2onnx.algebra.onnx_ops.OnnxBitwiseXor_18(*args, **kwargs)

**Version**See BitwiseXor_18.

OnnxBlackmanWindow

class skl2onnx.algebra.onnx_ops.OnnxBlackmanWindow(*args, **kwargs)

**Version**See BlackmanWindow.

OnnxBlackmanWindow_17

class skl2onnx.algebra.onnx_ops.OnnxBlackmanWindow_17(*args, **kwargs)

**Version**See BlackmanWindow_17.

OnnxCast

class skl2onnx.algebra.onnx_ops.OnnxCast(*args, **kwargs)

**Version**See Cast.

OnnxCastLike

class skl2onnx.algebra.onnx_ops.OnnxCastLike(*args, **kwargs)

**Version**See CastLike.

OnnxCastLike_15

class skl2onnx.algebra.onnx_ops.OnnxCastLike_15(*args, **kwargs)

**Version**See CastLike_15.

OnnxCastLike_19

class skl2onnx.algebra.onnx_ops.OnnxCastLike_19(*args, **kwargs)

**Version**See CastLike_19.

OnnxCastLike_21

class skl2onnx.algebra.onnx_ops.OnnxCastLike_21(*args, **kwargs)

**Version**See CastLike_21.

OnnxCastMap

class skl2onnx.algebra.onnx_ops.OnnxCastMap(*args, **kwargs)

**Version**See CastMap.

OnnxCastMap_1

class skl2onnx.algebra.onnx_ops.OnnxCastMap_1(*args, **kwargs)

**Version**See CastMap_1.

OnnxCast_1

class skl2onnx.algebra.onnx_ops.OnnxCast_1(*args, **kwargs)

**Version**See Cast_1.

OnnxCast_13

class skl2onnx.algebra.onnx_ops.OnnxCast_13(*args, **kwargs)

**Version**See Cast_13.

OnnxCast_19

class skl2onnx.algebra.onnx_ops.OnnxCast_19(*args, **kwargs)

**Version**See Cast_19.

OnnxCast_21

class skl2onnx.algebra.onnx_ops.OnnxCast_21(*args, **kwargs)

**Version**See Cast_21.

OnnxCast_6

class skl2onnx.algebra.onnx_ops.OnnxCast_6(*args, **kwargs)

**Version**See Cast_6.

OnnxCast_9

class skl2onnx.algebra.onnx_ops.OnnxCast_9(*args, **kwargs)

**Version**See Cast_9.

OnnxCategoryMapper

class skl2onnx.algebra.onnx_ops.OnnxCategoryMapper(*args, **kwargs)

**Version**See CategoryMapper.

OnnxCategoryMapper_1

class skl2onnx.algebra.onnx_ops.OnnxCategoryMapper_1(*args, **kwargs)

**Version**See CategoryMapper_1.

OnnxCeil

class skl2onnx.algebra.onnx_ops.OnnxCeil(*args, **kwargs)

**Version**See Ceil.

OnnxCeil_1

class skl2onnx.algebra.onnx_ops.OnnxCeil_1(*args, **kwargs)

**Version**See Ceil_1.

OnnxCeil_13

class skl2onnx.algebra.onnx_ops.OnnxCeil_13(*args, **kwargs)

**Version**See Ceil_13.

OnnxCeil_6

class skl2onnx.algebra.onnx_ops.OnnxCeil_6(*args, **kwargs)

**Version**See Ceil_6.

OnnxCelu

class skl2onnx.algebra.onnx_ops.OnnxCelu(*args, **kwargs)

**Version**See Celu.

OnnxCelu_12

class skl2onnx.algebra.onnx_ops.OnnxCelu_12(*args, **kwargs)

**Version**See Celu_12.

OnnxCenterCropPad

class skl2onnx.algebra.onnx_ops.OnnxCenterCropPad(*args, **kwargs)

**Version**See CenterCropPad.

OnnxCenterCropPad_18

class skl2onnx.algebra.onnx_ops.OnnxCenterCropPad_18(*args, **kwargs)

**Version**See CenterCropPad_18.

OnnxClip

class skl2onnx.algebra.onnx_ops.OnnxClip(*args, **kwargs)

**Version**See Clip.

OnnxClip_1

class skl2onnx.algebra.onnx_ops.OnnxClip_1(*args, **kwargs)

**Version**See Clip_1.

OnnxClip_11

class skl2onnx.algebra.onnx_ops.OnnxClip_11(*args, **kwargs)

**Version**See Clip_11.

OnnxClip_12

class skl2onnx.algebra.onnx_ops.OnnxClip_12(*args, **kwargs)

**Version**See Clip_12.

OnnxClip_13

class skl2onnx.algebra.onnx_ops.OnnxClip_13(*args, **kwargs)

**Version**See Clip_13.

OnnxClip_6

class skl2onnx.algebra.onnx_ops.OnnxClip_6(*args, **kwargs)

**Version**See Clip_6.

OnnxCol2Im

class skl2onnx.algebra.onnx_ops.OnnxCol2Im(*args, **kwargs)

**Version**See Col2Im.

OnnxCol2Im_18

class skl2onnx.algebra.onnx_ops.OnnxCol2Im_18(*args, **kwargs)

**Version**See Col2Im_18.

OnnxCompress

class skl2onnx.algebra.onnx_ops.OnnxCompress(*args, **kwargs)

**Version**See Compress.

OnnxCompress_11

class skl2onnx.algebra.onnx_ops.OnnxCompress_11(*args, **kwargs)

**Version**See Compress_11.

OnnxCompress_9

class skl2onnx.algebra.onnx_ops.OnnxCompress_9(*args, **kwargs)

**Version**See Compress_9.

OnnxConcat

class skl2onnx.algebra.onnx_ops.OnnxConcat(*args, **kwargs)

**Version**See Concat.

OnnxConcatFromSequence

class skl2onnx.algebra.onnx_ops.OnnxConcatFromSequence(*args, **kwargs)

**Version**See ConcatFromSequence.

OnnxConcatFromSequence_11

class skl2onnx.algebra.onnx_ops.OnnxConcatFromSequence_11(*args, **kwargs)

**Version**See ConcatFromSequence_11.

OnnxConcat_1

class skl2onnx.algebra.onnx_ops.OnnxConcat_1(*args, **kwargs)

**Version**See Concat_1.

OnnxConcat_11

class skl2onnx.algebra.onnx_ops.OnnxConcat_11(*args, **kwargs)

**Version**See Concat_11.

OnnxConcat_13

class skl2onnx.algebra.onnx_ops.OnnxConcat_13(*args, **kwargs)

**Version**See Concat_13.

OnnxConcat_4

class skl2onnx.algebra.onnx_ops.OnnxConcat_4(*args, **kwargs)

**Version**See Concat_4.

OnnxConstant

class skl2onnx.algebra.onnx_ops.OnnxConstant(*args, **kwargs)

**Version**See Constant.

OnnxConstantOfShape

class skl2onnx.algebra.onnx_ops.OnnxConstantOfShape(*args, **kwargs)

**Version**See ConstantOfShape.

OnnxConstantOfShape_20

class skl2onnx.algebra.onnx_ops.OnnxConstantOfShape_20(*args, **kwargs)

**Version**See ConstantOfShape_20.

OnnxConstantOfShape_21

class skl2onnx.algebra.onnx_ops.OnnxConstantOfShape_21(*args, **kwargs)

**Version**See ConstantOfShape_21.

OnnxConstantOfShape_9

class skl2onnx.algebra.onnx_ops.OnnxConstantOfShape_9(*args, **kwargs)

**Version**See ConstantOfShape_9.

OnnxConstant_1

class skl2onnx.algebra.onnx_ops.OnnxConstant_1(*args, **kwargs)

**Version**See Constant_1.

OnnxConstant_11

class skl2onnx.algebra.onnx_ops.OnnxConstant_11(*args, **kwargs)

**Version**See Constant_11.

OnnxConstant_12

class skl2onnx.algebra.onnx_ops.OnnxConstant_12(*args, **kwargs)

**Version**See Constant_12.

OnnxConstant_13

class skl2onnx.algebra.onnx_ops.OnnxConstant_13(*args, **kwargs)

**Version**See Constant_13.

OnnxConstant_19

class skl2onnx.algebra.onnx_ops.OnnxConstant_19(*args, **kwargs)

**Version**See Constant_19.

OnnxConstant_21

class skl2onnx.algebra.onnx_ops.OnnxConstant_21(*args, **kwargs)

**Version**See Constant_21.

OnnxConstant_9

class skl2onnx.algebra.onnx_ops.OnnxConstant_9(*args, **kwargs)

**Version**See Constant_9.

OnnxConv

class skl2onnx.algebra.onnx_ops.OnnxConv(*args, **kwargs)

**Version**See Conv.

OnnxConvInteger

class skl2onnx.algebra.onnx_ops.OnnxConvInteger(*args, **kwargs)

**Version**See ConvInteger.

OnnxConvInteger_10

class skl2onnx.algebra.onnx_ops.OnnxConvInteger_10(*args, **kwargs)

**Version**See ConvInteger_10.

OnnxConvTranspose

class skl2onnx.algebra.onnx_ops.OnnxConvTranspose(*args, **kwargs)

**Version**See ConvTranspose.

OnnxConvTranspose_1

class skl2onnx.algebra.onnx_ops.OnnxConvTranspose_1(*args, **kwargs)

**Version**See ConvTranspose_1.

OnnxConvTranspose_11

class skl2onnx.algebra.onnx_ops.OnnxConvTranspose_11(*args, **kwargs)

**Version**See ConvTranspose_11.

OnnxConvTranspose_22

class skl2onnx.algebra.onnx_ops.OnnxConvTranspose_22(*args, **kwargs)

**Version**See ConvTranspose_22.

OnnxConv_1

class skl2onnx.algebra.onnx_ops.OnnxConv_1(*args, **kwargs)

**Version**See Conv_1.

OnnxConv_11

class skl2onnx.algebra.onnx_ops.OnnxConv_11(*args, **kwargs)

**Version**See Conv_11.

OnnxConv_22

class skl2onnx.algebra.onnx_ops.OnnxConv_22(*args, **kwargs)

**Version**See Conv_22.

OnnxCos

class skl2onnx.algebra.onnx_ops.OnnxCos(*args, **kwargs)

**Version**See Cos.

OnnxCos_22

class skl2onnx.algebra.onnx_ops.OnnxCos_22(*args, **kwargs)

**Version**See Cos_22.

OnnxCos_7

class skl2onnx.algebra.onnx_ops.OnnxCos_7(*args, **kwargs)

**Version**See Cos_7.

OnnxCosh

class skl2onnx.algebra.onnx_ops.OnnxCosh(*args, **kwargs)

**Version**See Cosh.

OnnxCosh_22

class skl2onnx.algebra.onnx_ops.OnnxCosh_22(*args, **kwargs)

**Version**See Cosh_22.

OnnxCosh_9

class skl2onnx.algebra.onnx_ops.OnnxCosh_9(*args, **kwargs)

**Version**See Cosh_9.

OnnxCumSum

class skl2onnx.algebra.onnx_ops.OnnxCumSum(*args, **kwargs)

**Version**See CumSum.

OnnxCumSum_11

class skl2onnx.algebra.onnx_ops.OnnxCumSum_11(*args, **kwargs)

**Version**See CumSum_11.

OnnxCumSum_14

class skl2onnx.algebra.onnx_ops.OnnxCumSum_14(*args, **kwargs)

**Version**See CumSum_14.

OnnxDFT

class skl2onnx.algebra.onnx_ops.OnnxDFT(*args, **kwargs)

**Version**See DFT.

OnnxDFT_17

class skl2onnx.algebra.onnx_ops.OnnxDFT_17(*args, **kwargs)

**Version**See DFT_17.

OnnxDFT_20

class skl2onnx.algebra.onnx_ops.OnnxDFT_20(*args, **kwargs)

**Version**See DFT_20.

OnnxDeformConv

class skl2onnx.algebra.onnx_ops.OnnxDeformConv(*args, **kwargs)

**Version**See DeformConv.

OnnxDeformConv_19

class skl2onnx.algebra.onnx_ops.OnnxDeformConv_19(*args, **kwargs)

**Version**See DeformConv_19.

OnnxDeformConv_22

class skl2onnx.algebra.onnx_ops.OnnxDeformConv_22(*args, **kwargs)

**Version**See DeformConv_22.

OnnxDepthToSpace

class skl2onnx.algebra.onnx_ops.OnnxDepthToSpace(*args, **kwargs)

**Version**See DepthToSpace.

OnnxDepthToSpace_1

class skl2onnx.algebra.onnx_ops.OnnxDepthToSpace_1(*args, **kwargs)

**Version**See DepthToSpace_1.

OnnxDepthToSpace_11

class skl2onnx.algebra.onnx_ops.OnnxDepthToSpace_11(*args, **kwargs)

**Version**See DepthToSpace_11.

OnnxDepthToSpace_13

class skl2onnx.algebra.onnx_ops.OnnxDepthToSpace_13(*args, **kwargs)

**Version**See DepthToSpace_13.

OnnxDequantizeLinear

class skl2onnx.algebra.onnx_ops.OnnxDequantizeLinear(*args, **kwargs)

**Version**See DequantizeLinear.

OnnxDequantizeLinear_10

class skl2onnx.algebra.onnx_ops.OnnxDequantizeLinear_10(*args, **kwargs)

**Version**See DequantizeLinear_10.

OnnxDequantizeLinear_13

class skl2onnx.algebra.onnx_ops.OnnxDequantizeLinear_13(*args, **kwargs)

**Version**See DequantizeLinear_13.

OnnxDequantizeLinear_19

class skl2onnx.algebra.onnx_ops.OnnxDequantizeLinear_19(*args, **kwargs)

**Version**See DequantizeLinear_19.

OnnxDequantizeLinear_21

class skl2onnx.algebra.onnx_ops.OnnxDequantizeLinear_21(*args, **kwargs)

**Version**See DequantizeLinear_21.

OnnxDet

class skl2onnx.algebra.onnx_ops.OnnxDet(*args, **kwargs)

**Version**See Det.

OnnxDet_11

class skl2onnx.algebra.onnx_ops.OnnxDet_11(*args, **kwargs)

**Version**See Det_11.

OnnxDet_22

class skl2onnx.algebra.onnx_ops.OnnxDet_22(*args, **kwargs)

**Version**See Det_22.

OnnxDictVectorizer

class skl2onnx.algebra.onnx_ops.OnnxDictVectorizer(*args, **kwargs)

**Version**See DictVectorizer.

OnnxDictVectorizer_1

class skl2onnx.algebra.onnx_ops.OnnxDictVectorizer_1(*args, **kwargs)

**Version**See DictVectorizer_1.

OnnxDiv

class skl2onnx.algebra.onnx_ops.OnnxDiv(*args, **kwargs)

**Version**See Div.

OnnxDiv_1

class skl2onnx.algebra.onnx_ops.OnnxDiv_1(*args, **kwargs)

**Version**See Div_1.

OnnxDiv_13

class skl2onnx.algebra.onnx_ops.OnnxDiv_13(*args, **kwargs)

**Version**See Div_13.

OnnxDiv_14

class skl2onnx.algebra.onnx_ops.OnnxDiv_14(*args, **kwargs)

**Version**See Div_14.

OnnxDiv_6

class skl2onnx.algebra.onnx_ops.OnnxDiv_6(*args, **kwargs)

**Version**See Div_6.

OnnxDiv_7

class skl2onnx.algebra.onnx_ops.OnnxDiv_7(*args, **kwargs)

**Version**See Div_7.

OnnxDropout

class skl2onnx.algebra.onnx_ops.OnnxDropout(*args, **kwargs)

**Version**See Dropout.

OnnxDropout_1

class skl2onnx.algebra.onnx_ops.OnnxDropout_1(*args, **kwargs)

**Version**See Dropout_1.

OnnxDropout_10

class skl2onnx.algebra.onnx_ops.OnnxDropout_10(*args, **kwargs)

**Version**See Dropout_10.

OnnxDropout_12

class skl2onnx.algebra.onnx_ops.OnnxDropout_12(*args, **kwargs)

**Version**See Dropout_12.

OnnxDropout_13

class skl2onnx.algebra.onnx_ops.OnnxDropout_13(*args, **kwargs)

**Version**See Dropout_13.

OnnxDropout_22

class skl2onnx.algebra.onnx_ops.OnnxDropout_22(*args, **kwargs)

**Version**See Dropout_22.

OnnxDropout_6

class skl2onnx.algebra.onnx_ops.OnnxDropout_6(*args, **kwargs)

**Version**See Dropout_6.

OnnxDropout_7

class skl2onnx.algebra.onnx_ops.OnnxDropout_7(*args, **kwargs)

**Version**See Dropout_7.

OnnxDynamicQuantizeLinear

class skl2onnx.algebra.onnx_ops.OnnxDynamicQuantizeLinear(*args, **kwargs)

**Version**See DynamicQuantizeLinear.

OnnxDynamicQuantizeLinear_11

class skl2onnx.algebra.onnx_ops.OnnxDynamicQuantizeLinear_11(*args, **kwargs)

**Version**See DynamicQuantizeLinear_11.

OnnxEinsum

class skl2onnx.algebra.onnx_ops.OnnxEinsum(*args, **kwargs)

**Version**See Einsum.

OnnxEinsum_12

class skl2onnx.algebra.onnx_ops.OnnxEinsum_12(*args, **kwargs)

**Version**See Einsum_12.

OnnxElu

class skl2onnx.algebra.onnx_ops.OnnxElu(*args, **kwargs)

**Version**See Elu.

OnnxElu_1

class skl2onnx.algebra.onnx_ops.OnnxElu_1(*args, **kwargs)

**Version**See Elu_1.

OnnxElu_22

class skl2onnx.algebra.onnx_ops.OnnxElu_22(*args, **kwargs)

**Version**See Elu_22.

OnnxElu_6

class skl2onnx.algebra.onnx_ops.OnnxElu_6(*args, **kwargs)

**Version**See Elu_6.

OnnxEqual

class skl2onnx.algebra.onnx_ops.OnnxEqual(*args, **kwargs)

**Version**See Equal.

OnnxEqual_1

class skl2onnx.algebra.onnx_ops.OnnxEqual_1(*args, **kwargs)

**Version**See Equal_1.

OnnxEqual_11

class skl2onnx.algebra.onnx_ops.OnnxEqual_11(*args, **kwargs)

**Version**See Equal_11.

OnnxEqual_13

class skl2onnx.algebra.onnx_ops.OnnxEqual_13(*args, **kwargs)

**Version**See Equal_13.

OnnxEqual_19

class skl2onnx.algebra.onnx_ops.OnnxEqual_19(*args, **kwargs)

**Version**See Equal_19.

OnnxEqual_7

class skl2onnx.algebra.onnx_ops.OnnxEqual_7(*args, **kwargs)

**Version**See Equal_7.

OnnxErf

class skl2onnx.algebra.onnx_ops.OnnxErf(*args, **kwargs)

**Version**See Erf.

OnnxErf_13

class skl2onnx.algebra.onnx_ops.OnnxErf_13(*args, **kwargs)

**Version**See Erf_13.

OnnxErf_9

class skl2onnx.algebra.onnx_ops.OnnxErf_9(*args, **kwargs)

**Version**See Erf_9.

OnnxExp

class skl2onnx.algebra.onnx_ops.OnnxExp(*args, **kwargs)

**Version**See Exp.

OnnxExp_1

class skl2onnx.algebra.onnx_ops.OnnxExp_1(*args, **kwargs)

**Version**See Exp_1.

OnnxExp_13

class skl2onnx.algebra.onnx_ops.OnnxExp_13(*args, **kwargs)

**Version**See Exp_13.

OnnxExp_6

class skl2onnx.algebra.onnx_ops.OnnxExp_6(*args, **kwargs)

**Version**See Exp_6.

OnnxExpand

class skl2onnx.algebra.onnx_ops.OnnxExpand(*args, **kwargs)

**Version**See Expand.

OnnxExpand_13

class skl2onnx.algebra.onnx_ops.OnnxExpand_13(*args, **kwargs)

**Version**See Expand_13.

OnnxExpand_8

class skl2onnx.algebra.onnx_ops.OnnxExpand_8(*args, **kwargs)

**Version**See Expand_8.

OnnxEyeLike

class skl2onnx.algebra.onnx_ops.OnnxEyeLike(*args, **kwargs)

**Version**See EyeLike.

OnnxEyeLike_22

class skl2onnx.algebra.onnx_ops.OnnxEyeLike_22(*args, **kwargs)

**Version**See EyeLike_22.

OnnxEyeLike_9

class skl2onnx.algebra.onnx_ops.OnnxEyeLike_9(*args, **kwargs)

**Version**See EyeLike_9.

OnnxFeatureVectorizer

class skl2onnx.algebra.onnx_ops.OnnxFeatureVectorizer(*args, **kwargs)

**Version**See FeatureVectorizer.

OnnxFeatureVectorizer_1

class skl2onnx.algebra.onnx_ops.OnnxFeatureVectorizer_1(*args, **kwargs)

**Version**See FeatureVectorizer_1.

OnnxFlatten

class skl2onnx.algebra.onnx_ops.OnnxFlatten(*args, **kwargs)

**Version**See Flatten.

OnnxFlatten_1

class skl2onnx.algebra.onnx_ops.OnnxFlatten_1(*args, **kwargs)

**Version**See Flatten_1.

OnnxFlatten_11

class skl2onnx.algebra.onnx_ops.OnnxFlatten_11(*args, **kwargs)

**Version**See Flatten_11.

OnnxFlatten_13

class skl2onnx.algebra.onnx_ops.OnnxFlatten_13(*args, **kwargs)

**Version**See Flatten_13.

OnnxFlatten_21

class skl2onnx.algebra.onnx_ops.OnnxFlatten_21(*args, **kwargs)

**Version**See Flatten_21.

OnnxFlatten_9

class skl2onnx.algebra.onnx_ops.OnnxFlatten_9(*args, **kwargs)

**Version**See Flatten_9.

OnnxFloor

class skl2onnx.algebra.onnx_ops.OnnxFloor(*args, **kwargs)

**Version**See Floor.

OnnxFloor_1

class skl2onnx.algebra.onnx_ops.OnnxFloor_1(*args, **kwargs)

**Version**See Floor_1.

OnnxFloor_13

class skl2onnx.algebra.onnx_ops.OnnxFloor_13(*args, **kwargs)

**Version**See Floor_13.

OnnxFloor_6

class skl2onnx.algebra.onnx_ops.OnnxFloor_6(*args, **kwargs)

**Version**See Floor_6.

OnnxGRU

class skl2onnx.algebra.onnx_ops.OnnxGRU(*args, **kwargs)

**Version**See GRU.

OnnxGRU_1

class skl2onnx.algebra.onnx_ops.OnnxGRU_1(*args, **kwargs)

**Version**See GRU_1.

OnnxGRU_14

class skl2onnx.algebra.onnx_ops.OnnxGRU_14(*args, **kwargs)

**Version**See GRU_14.

OnnxGRU_22

class skl2onnx.algebra.onnx_ops.OnnxGRU_22(*args, **kwargs)

**Version**See GRU_22.

OnnxGRU_3

class skl2onnx.algebra.onnx_ops.OnnxGRU_3(*args, **kwargs)

**Version**See GRU_3.

OnnxGRU_7

class skl2onnx.algebra.onnx_ops.OnnxGRU_7(*args, **kwargs)

**Version**See GRU_7.

OnnxGather

class skl2onnx.algebra.onnx_ops.OnnxGather(*args, **kwargs)

**Version**See Gather.

OnnxGatherElements

class skl2onnx.algebra.onnx_ops.OnnxGatherElements(*args, **kwargs)

**Version**See GatherElements.

OnnxGatherElements_11

class skl2onnx.algebra.onnx_ops.OnnxGatherElements_11(*args, **kwargs)

**Version**See GatherElements_11.

OnnxGatherElements_13

class skl2onnx.algebra.onnx_ops.OnnxGatherElements_13(*args, **kwargs)

**Version**See GatherElements_13.

OnnxGatherND

class skl2onnx.algebra.onnx_ops.OnnxGatherND(*args, **kwargs)

**Version**See GatherND.

OnnxGatherND_11

class skl2onnx.algebra.onnx_ops.OnnxGatherND_11(*args, **kwargs)

**Version**See GatherND_11.

OnnxGatherND_12

class skl2onnx.algebra.onnx_ops.OnnxGatherND_12(*args, **kwargs)

**Version**See GatherND_12.

OnnxGatherND_13

class skl2onnx.algebra.onnx_ops.OnnxGatherND_13(*args, **kwargs)

**Version**See GatherND_13.

OnnxGather_1

class skl2onnx.algebra.onnx_ops.OnnxGather_1(*args, **kwargs)

**Version**See Gather_1.

OnnxGather_11

class skl2onnx.algebra.onnx_ops.OnnxGather_11(*args, **kwargs)

**Version**See Gather_11.

OnnxGather_13

class skl2onnx.algebra.onnx_ops.OnnxGather_13(*args, **kwargs)

**Version**See Gather_13.

OnnxGelu

class skl2onnx.algebra.onnx_ops.OnnxGelu(*args, **kwargs)

**Version**See Gelu.

OnnxGelu_20

class skl2onnx.algebra.onnx_ops.OnnxGelu_20(*args, **kwargs)

**Version**See Gelu_20.

OnnxGemm

class skl2onnx.algebra.onnx_ops.OnnxGemm(*args, **kwargs)

**Version**See Gemm.

OnnxGemm_1

class skl2onnx.algebra.onnx_ops.OnnxGemm_1(*args, **kwargs)

**Version**See Gemm_1.

OnnxGemm_11

class skl2onnx.algebra.onnx_ops.OnnxGemm_11(*args, **kwargs)

**Version**See Gemm_11.

OnnxGemm_13

class skl2onnx.algebra.onnx_ops.OnnxGemm_13(*args, **kwargs)

**Version**See Gemm_13.

OnnxGemm_6

class skl2onnx.algebra.onnx_ops.OnnxGemm_6(*args, **kwargs)

**Version**See Gemm_6.

OnnxGemm_7

class skl2onnx.algebra.onnx_ops.OnnxGemm_7(*args, **kwargs)

**Version**See Gemm_7.

OnnxGemm_9

class skl2onnx.algebra.onnx_ops.OnnxGemm_9(*args, **kwargs)

**Version**See Gemm_9.

OnnxGlobalAveragePool

class skl2onnx.algebra.onnx_ops.OnnxGlobalAveragePool(*args, **kwargs)

**Version**See GlobalAveragePool.

OnnxGlobalAveragePool_1

class skl2onnx.algebra.onnx_ops.OnnxGlobalAveragePool_1(*args, **kwargs)

**Version**See GlobalAveragePool_1.

OnnxGlobalAveragePool_22

class skl2onnx.algebra.onnx_ops.OnnxGlobalAveragePool_22(*args, **kwargs)

**Version**See GlobalAveragePool_22.

OnnxGlobalLpPool

class skl2onnx.algebra.onnx_ops.OnnxGlobalLpPool(*args, **kwargs)

**Version**See GlobalLpPool.

OnnxGlobalLpPool_1

class skl2onnx.algebra.onnx_ops.OnnxGlobalLpPool_1(*args, **kwargs)

**Version**See GlobalLpPool_1.

OnnxGlobalLpPool_2

class skl2onnx.algebra.onnx_ops.OnnxGlobalLpPool_2(*args, **kwargs)

**Version**See GlobalLpPool_2.

OnnxGlobalLpPool_22

class skl2onnx.algebra.onnx_ops.OnnxGlobalLpPool_22(*args, **kwargs)

**Version**See GlobalLpPool_22.

OnnxGlobalMaxPool

class skl2onnx.algebra.onnx_ops.OnnxGlobalMaxPool(*args, **kwargs)

**Version**See GlobalMaxPool.

OnnxGlobalMaxPool_1

class skl2onnx.algebra.onnx_ops.OnnxGlobalMaxPool_1(*args, **kwargs)

**Version**See GlobalMaxPool_1.

OnnxGlobalMaxPool_22

class skl2onnx.algebra.onnx_ops.OnnxGlobalMaxPool_22(*args, **kwargs)

**Version**See GlobalMaxPool_22.

OnnxGradient

class skl2onnx.algebra.onnx_ops.OnnxGradient(*args, **kwargs)

**Version**See Gradient.

OnnxGradient_1

class skl2onnx.algebra.onnx_ops.OnnxGradient_1(*args, **kwargs)

**Version**See Gradient_1.

OnnxGreater

class skl2onnx.algebra.onnx_ops.OnnxGreater(*args, **kwargs)

**Version**See Greater.

OnnxGreaterOrEqual

class skl2onnx.algebra.onnx_ops.OnnxGreaterOrEqual(*args, **kwargs)

**Version**See GreaterOrEqual.

OnnxGreaterOrEqual_12

class skl2onnx.algebra.onnx_ops.OnnxGreaterOrEqual_12(*args, **kwargs)

**Version**See GreaterOrEqual_12.

OnnxGreaterOrEqual_16

class skl2onnx.algebra.onnx_ops.OnnxGreaterOrEqual_16(*args, **kwargs)

**Version**See GreaterOrEqual_16.

OnnxGreater_1

class skl2onnx.algebra.onnx_ops.OnnxGreater_1(*args, **kwargs)

**Version**See Greater_1.

OnnxGreater_13

class skl2onnx.algebra.onnx_ops.OnnxGreater_13(*args, **kwargs)

**Version**See Greater_13.

OnnxGreater_7

class skl2onnx.algebra.onnx_ops.OnnxGreater_7(*args, **kwargs)

**Version**See Greater_7.

OnnxGreater_9

class skl2onnx.algebra.onnx_ops.OnnxGreater_9(*args, **kwargs)

**Version**See Greater_9.

OnnxGridSample

class skl2onnx.algebra.onnx_ops.OnnxGridSample(*args, **kwargs)

**Version**See GridSample.

OnnxGridSample_16

class skl2onnx.algebra.onnx_ops.OnnxGridSample_16(*args, **kwargs)

**Version**See GridSample_16.

OnnxGridSample_20

class skl2onnx.algebra.onnx_ops.OnnxGridSample_20(*args, **kwargs)

**Version**See GridSample_20.

OnnxGridSample_22

class skl2onnx.algebra.onnx_ops.OnnxGridSample_22(*args, **kwargs)

**Version**See GridSample_22.

OnnxGroupNormalization

class skl2onnx.algebra.onnx_ops.OnnxGroupNormalization(*args, **kwargs)

**Version**See GroupNormalization.

OnnxGroupNormalization_18

class skl2onnx.algebra.onnx_ops.OnnxGroupNormalization_18(*args, **kwargs)

**Version**See GroupNormalization_18.

OnnxGroupNormalization_21

class skl2onnx.algebra.onnx_ops.OnnxGroupNormalization_21(*args, **kwargs)

**Version**See GroupNormalization_21.

OnnxHammingWindow

class skl2onnx.algebra.onnx_ops.OnnxHammingWindow(*args, **kwargs)

**Version**See HammingWindow.

OnnxHammingWindow_17

class skl2onnx.algebra.onnx_ops.OnnxHammingWindow_17(*args, **kwargs)

**Version**See HammingWindow_17.

OnnxHannWindow

class skl2onnx.algebra.onnx_ops.OnnxHannWindow(*args, **kwargs)

**Version**See HannWindow.

OnnxHannWindow_17

class skl2onnx.algebra.onnx_ops.OnnxHannWindow_17(*args, **kwargs)

**Version**See HannWindow_17.

OnnxHardSigmoid

class skl2onnx.algebra.onnx_ops.OnnxHardSigmoid(*args, **kwargs)

**Version**See HardSigmoid.

OnnxHardSigmoid_1

class skl2onnx.algebra.onnx_ops.OnnxHardSigmoid_1(*args, **kwargs)

**Version**See HardSigmoid_1.

OnnxHardSigmoid_22

class skl2onnx.algebra.onnx_ops.OnnxHardSigmoid_22(*args, **kwargs)

**Version**See HardSigmoid_22.

OnnxHardSigmoid_6

class skl2onnx.algebra.onnx_ops.OnnxHardSigmoid_6(*args, **kwargs)

**Version**See HardSigmoid_6.

OnnxHardSwish

class skl2onnx.algebra.onnx_ops.OnnxHardSwish(*args, **kwargs)

**Version**See HardSwish.

OnnxHardSwish_14

class skl2onnx.algebra.onnx_ops.OnnxHardSwish_14(*args, **kwargs)

**Version**See HardSwish_14.

OnnxHardSwish_22

class skl2onnx.algebra.onnx_ops.OnnxHardSwish_22(*args, **kwargs)

**Version**See HardSwish_22.

OnnxHardmax

class skl2onnx.algebra.onnx_ops.OnnxHardmax(*args, **kwargs)

**Version**See Hardmax.

OnnxHardmax_1

class skl2onnx.algebra.onnx_ops.OnnxHardmax_1(*args, **kwargs)

**Version**See Hardmax_1.

OnnxHardmax_11

class skl2onnx.algebra.onnx_ops.OnnxHardmax_11(*args, **kwargs)

**Version**See Hardmax_11.

OnnxHardmax_13

class skl2onnx.algebra.onnx_ops.OnnxHardmax_13(*args, **kwargs)

**Version**See Hardmax_13.

OnnxIdentity

class skl2onnx.algebra.onnx_ops.OnnxIdentity(*args, **kwargs)

**Version**See Identity.

OnnxIdentity_1

class skl2onnx.algebra.onnx_ops.OnnxIdentity_1(*args, **kwargs)

**Version**See Identity_1.

OnnxIdentity_13

class skl2onnx.algebra.onnx_ops.OnnxIdentity_13(*args, **kwargs)

**Version**See Identity_13.

OnnxIdentity_14

class skl2onnx.algebra.onnx_ops.OnnxIdentity_14(*args, **kwargs)

**Version**See Identity_14.

OnnxIdentity_16

class skl2onnx.algebra.onnx_ops.OnnxIdentity_16(*args, **kwargs)

**Version**See Identity_16.

OnnxIdentity_19

class skl2onnx.algebra.onnx_ops.OnnxIdentity_19(*args, **kwargs)

**Version**See Identity_19.

OnnxIdentity_21

class skl2onnx.algebra.onnx_ops.OnnxIdentity_21(*args, **kwargs)

**Version**See Identity_21.

OnnxIf

class skl2onnx.algebra.onnx_ops.OnnxIf(*args, **kwargs)

**Version**See If.

OnnxIf_1

class skl2onnx.algebra.onnx_ops.OnnxIf_1(*args, **kwargs)

**Version**See If_1.

OnnxIf_11

class skl2onnx.algebra.onnx_ops.OnnxIf_11(*args, **kwargs)

**Version**See If_11.

OnnxIf_13

class skl2onnx.algebra.onnx_ops.OnnxIf_13(*args, **kwargs)

**Version**See If_13.

OnnxIf_16

class skl2onnx.algebra.onnx_ops.OnnxIf_16(*args, **kwargs)

**Version**See If_16.

OnnxIf_19

class skl2onnx.algebra.onnx_ops.OnnxIf_19(*args, **kwargs)

**Version**See If_19.

OnnxIf_21

class skl2onnx.algebra.onnx_ops.OnnxIf_21(*args, **kwargs)

**Version**See If_21.

OnnxImageDecoder

class skl2onnx.algebra.onnx_ops.OnnxImageDecoder(*args, **kwargs)

**Version**See ImageDecoder.

OnnxImageDecoder_20

class skl2onnx.algebra.onnx_ops.OnnxImageDecoder_20(*args, **kwargs)

**Version**See ImageDecoder_20.

OnnxImputer

class skl2onnx.algebra.onnx_ops.OnnxImputer(*args, **kwargs)

**Version**See Imputer.

OnnxImputer_1

class skl2onnx.algebra.onnx_ops.OnnxImputer_1(*args, **kwargs)

**Version**See Imputer_1.

OnnxInstanceNormalization

class skl2onnx.algebra.onnx_ops.OnnxInstanceNormalization(*args, **kwargs)

**Version**See InstanceNormalization.

OnnxInstanceNormalization_1

class skl2onnx.algebra.onnx_ops.OnnxInstanceNormalization_1(*args, **kwargs)

**Version**See InstanceNormalization_1.

OnnxInstanceNormalization_22

class skl2onnx.algebra.onnx_ops.OnnxInstanceNormalization_22(*args, **kwargs)

**Version**See InstanceNormalization_22.

OnnxInstanceNormalization_6

class skl2onnx.algebra.onnx_ops.OnnxInstanceNormalization_6(*args, **kwargs)

**Version**See InstanceNormalization_6.

OnnxIsInf

class skl2onnx.algebra.onnx_ops.OnnxIsInf(*args, **kwargs)

**Version**See IsInf.

OnnxIsInf_10

class skl2onnx.algebra.onnx_ops.OnnxIsInf_10(*args, **kwargs)

**Version**See IsInf_10.

OnnxIsInf_20

class skl2onnx.algebra.onnx_ops.OnnxIsInf_20(*args, **kwargs)

**Version**See IsInf_20.

OnnxIsNaN

class skl2onnx.algebra.onnx_ops.OnnxIsNaN(*args, **kwargs)

**Version**See IsNaN.

OnnxIsNaN_13

class skl2onnx.algebra.onnx_ops.OnnxIsNaN_13(*args, **kwargs)

**Version**See IsNaN_13.

OnnxIsNaN_20

class skl2onnx.algebra.onnx_ops.OnnxIsNaN_20(*args, **kwargs)

**Version**See IsNaN_20.

OnnxIsNaN_9

class skl2onnx.algebra.onnx_ops.OnnxIsNaN_9(*args, **kwargs)

**Version**See IsNaN_9.

OnnxLRN

class skl2onnx.algebra.onnx_ops.OnnxLRN(*args, **kwargs)

**Version**See LRN.

OnnxLRN_1

class skl2onnx.algebra.onnx_ops.OnnxLRN_1(*args, **kwargs)

**Version**See LRN_1.

OnnxLRN_13

class skl2onnx.algebra.onnx_ops.OnnxLRN_13(*args, **kwargs)

**Version**See LRN_13.

OnnxLSTM

class skl2onnx.algebra.onnx_ops.OnnxLSTM(*args, **kwargs)

**Version**See LSTM.

OnnxLSTM_1

class skl2onnx.algebra.onnx_ops.OnnxLSTM_1(*args, **kwargs)

**Version**See LSTM_1.

OnnxLSTM_14

class skl2onnx.algebra.onnx_ops.OnnxLSTM_14(*args, **kwargs)

**Version**See LSTM_14.

OnnxLSTM_22

class skl2onnx.algebra.onnx_ops.OnnxLSTM_22(*args, **kwargs)

**Version**See LSTM_22.

OnnxLSTM_7

class skl2onnx.algebra.onnx_ops.OnnxLSTM_7(*args, **kwargs)

**Version**See LSTM_7.

OnnxLabelEncoder

class skl2onnx.algebra.onnx_ops.OnnxLabelEncoder(*args, **kwargs)

**Version**See LabelEncoder.

OnnxLabelEncoder_1

class skl2onnx.algebra.onnx_ops.OnnxLabelEncoder_1(*args, **kwargs)

**Version**See LabelEncoder_1.

OnnxLabelEncoder_2

class skl2onnx.algebra.onnx_ops.OnnxLabelEncoder_2(*args, **kwargs)

**Version**See LabelEncoder_2.

OnnxLabelEncoder_4

class skl2onnx.algebra.onnx_ops.OnnxLabelEncoder_4(*args, **kwargs)

**Version**See LabelEncoder_4.

OnnxLayerNormalization

class skl2onnx.algebra.onnx_ops.OnnxLayerNormalization(*args, **kwargs)

**Version**See LayerNormalization.

OnnxLayerNormalization_17

class skl2onnx.algebra.onnx_ops.OnnxLayerNormalization_17(*args, **kwargs)

**Version**See LayerNormalization_17.

OnnxLeakyRelu

class skl2onnx.algebra.onnx_ops.OnnxLeakyRelu(*args, **kwargs)

**Version**See LeakyRelu.

OnnxLeakyRelu_1

class skl2onnx.algebra.onnx_ops.OnnxLeakyRelu_1(*args, **kwargs)

**Version**See LeakyRelu_1.

OnnxLeakyRelu_16

class skl2onnx.algebra.onnx_ops.OnnxLeakyRelu_16(*args, **kwargs)

**Version**See LeakyRelu_16.

OnnxLeakyRelu_6

class skl2onnx.algebra.onnx_ops.OnnxLeakyRelu_6(*args, **kwargs)

**Version**See LeakyRelu_6.

OnnxLess

class skl2onnx.algebra.onnx_ops.OnnxLess(*args, **kwargs)

**Version**See Less.

OnnxLessOrEqual

class skl2onnx.algebra.onnx_ops.OnnxLessOrEqual(*args, **kwargs)

**Version**See LessOrEqual.

OnnxLessOrEqual_12

class skl2onnx.algebra.onnx_ops.OnnxLessOrEqual_12(*args, **kwargs)

**Version**See LessOrEqual_12.

OnnxLessOrEqual_16

class skl2onnx.algebra.onnx_ops.OnnxLessOrEqual_16(*args, **kwargs)

**Version**See LessOrEqual_16.

OnnxLess_1

class skl2onnx.algebra.onnx_ops.OnnxLess_1(*args, **kwargs)

**Version**See Less_1.

OnnxLess_13

class skl2onnx.algebra.onnx_ops.OnnxLess_13(*args, **kwargs)

**Version**See Less_13.

OnnxLess_7

class skl2onnx.algebra.onnx_ops.OnnxLess_7(*args, **kwargs)

**Version**See Less_7.

OnnxLess_9

class skl2onnx.algebra.onnx_ops.OnnxLess_9(*args, **kwargs)

**Version**See Less_9.

OnnxLinearClassifier

class skl2onnx.algebra.onnx_ops.OnnxLinearClassifier(*args, **kwargs)

**Version**See LinearClassifier.

OnnxLinearClassifier_1

class skl2onnx.algebra.onnx_ops.OnnxLinearClassifier_1(*args, **kwargs)

**Version**See LinearClassifier_1.

OnnxLinearRegressor

class skl2onnx.algebra.onnx_ops.OnnxLinearRegressor(*args, **kwargs)

**Version**See LinearRegressor.

OnnxLinearRegressor_1

class skl2onnx.algebra.onnx_ops.OnnxLinearRegressor_1(*args, **kwargs)

**Version**See LinearRegressor_1.

OnnxLog

class skl2onnx.algebra.onnx_ops.OnnxLog(*args, **kwargs)

**Version**See Log.

OnnxLogSoftmax

class skl2onnx.algebra.onnx_ops.OnnxLogSoftmax(*args, **kwargs)

**Version**See LogSoftmax.

OnnxLogSoftmax_1

class skl2onnx.algebra.onnx_ops.OnnxLogSoftmax_1(*args, **kwargs)

**Version**See LogSoftmax_1.

OnnxLogSoftmax_11

class skl2onnx.algebra.onnx_ops.OnnxLogSoftmax_11(*args, **kwargs)

**Version**See LogSoftmax_11.

OnnxLogSoftmax_13

class skl2onnx.algebra.onnx_ops.OnnxLogSoftmax_13(*args, **kwargs)

**Version**See LogSoftmax_13.

OnnxLog_1

class skl2onnx.algebra.onnx_ops.OnnxLog_1(*args, **kwargs)

**Version**See Log_1.

OnnxLog_13

class skl2onnx.algebra.onnx_ops.OnnxLog_13(*args, **kwargs)

**Version**See Log_13.

OnnxLog_6

class skl2onnx.algebra.onnx_ops.OnnxLog_6(*args, **kwargs)

**Version**See Log_6.

OnnxLoop

class skl2onnx.algebra.onnx_ops.OnnxLoop(*args, **kwargs)

**Version**See Loop.

OnnxLoop_1

class skl2onnx.algebra.onnx_ops.OnnxLoop_1(*args, **kwargs)

**Version**See Loop_1.

OnnxLoop_11

class skl2onnx.algebra.onnx_ops.OnnxLoop_11(*args, **kwargs)

**Version**See Loop_11.

OnnxLoop_13

class skl2onnx.algebra.onnx_ops.OnnxLoop_13(*args, **kwargs)

**Version**See Loop_13.

OnnxLoop_16

class skl2onnx.algebra.onnx_ops.OnnxLoop_16(*args, **kwargs)

**Version**See Loop_16.

OnnxLoop_19

class skl2onnx.algebra.onnx_ops.OnnxLoop_19(*args, **kwargs)

**Version**See Loop_19.

OnnxLoop_21

class skl2onnx.algebra.onnx_ops.OnnxLoop_21(*args, **kwargs)

**Version**See Loop_21.

OnnxLpNormalization

class skl2onnx.algebra.onnx_ops.OnnxLpNormalization(*args, **kwargs)

**Version**See LpNormalization.

OnnxLpNormalization_1

class skl2onnx.algebra.onnx_ops.OnnxLpNormalization_1(*args, **kwargs)

**Version**See LpNormalization_1.

OnnxLpNormalization_22

class skl2onnx.algebra.onnx_ops.OnnxLpNormalization_22(*args, **kwargs)

**Version**See LpNormalization_22.

OnnxLpPool

class skl2onnx.algebra.onnx_ops.OnnxLpPool(*args, **kwargs)

**Version**See LpPool.

OnnxLpPool_1

class skl2onnx.algebra.onnx_ops.OnnxLpPool_1(*args, **kwargs)

**Version**See LpPool_1.

OnnxLpPool_11

class skl2onnx.algebra.onnx_ops.OnnxLpPool_11(*args, **kwargs)

**Version**See LpPool_11.

OnnxLpPool_18

class skl2onnx.algebra.onnx_ops.OnnxLpPool_18(*args, **kwargs)

**Version**See LpPool_18.

OnnxLpPool_2

class skl2onnx.algebra.onnx_ops.OnnxLpPool_2(*args, **kwargs)

**Version**See LpPool_2.

OnnxLpPool_22

class skl2onnx.algebra.onnx_ops.OnnxLpPool_22(*args, **kwargs)

**Version**See LpPool_22.

OnnxMatMul

class skl2onnx.algebra.onnx_ops.OnnxMatMul(*args, **kwargs)

**Version**See MatMul.

OnnxMatMulInteger

class skl2onnx.algebra.onnx_ops.OnnxMatMulInteger(*args, **kwargs)

**Version**See MatMulInteger.

OnnxMatMulInteger_10

class skl2onnx.algebra.onnx_ops.OnnxMatMulInteger_10(*args, **kwargs)

**Version**See MatMulInteger_10.

OnnxMatMul_1

class skl2onnx.algebra.onnx_ops.OnnxMatMul_1(*args, **kwargs)

**Version**See MatMul_1.

OnnxMatMul_13

class skl2onnx.algebra.onnx_ops.OnnxMatMul_13(*args, **kwargs)

**Version**See MatMul_13.

OnnxMatMul_9

class skl2onnx.algebra.onnx_ops.OnnxMatMul_9(*args, **kwargs)

**Version**See MatMul_9.

OnnxMax

class skl2onnx.algebra.onnx_ops.OnnxMax(*args, **kwargs)

**Version**See Max.

OnnxMaxPool

class skl2onnx.algebra.onnx_ops.OnnxMaxPool(*args, **kwargs)

**Version**See MaxPool.

OnnxMaxPool_1

class skl2onnx.algebra.onnx_ops.OnnxMaxPool_1(*args, **kwargs)

**Version**See MaxPool_1.

OnnxMaxPool_10

class skl2onnx.algebra.onnx_ops.OnnxMaxPool_10(*args, **kwargs)

**Version**See MaxPool_10.

OnnxMaxPool_11

class skl2onnx.algebra.onnx_ops.OnnxMaxPool_11(*args, **kwargs)

**Version**See MaxPool_11.

OnnxMaxPool_12

class skl2onnx.algebra.onnx_ops.OnnxMaxPool_12(*args, **kwargs)

**Version**See MaxPool_12.

OnnxMaxPool_22

class skl2onnx.algebra.onnx_ops.OnnxMaxPool_22(*args, **kwargs)

**Version**See MaxPool_22.

OnnxMaxPool_8

class skl2onnx.algebra.onnx_ops.OnnxMaxPool_8(*args, **kwargs)

**Version**See MaxPool_8.

OnnxMaxRoiPool

class skl2onnx.algebra.onnx_ops.OnnxMaxRoiPool(*args, **kwargs)

**Version**See MaxRoiPool.

OnnxMaxRoiPool_1

class skl2onnx.algebra.onnx_ops.OnnxMaxRoiPool_1(*args, **kwargs)

**Version**See MaxRoiPool_1.

OnnxMaxRoiPool_22

class skl2onnx.algebra.onnx_ops.OnnxMaxRoiPool_22(*args, **kwargs)

**Version**See MaxRoiPool_22.

OnnxMaxUnpool

class skl2onnx.algebra.onnx_ops.OnnxMaxUnpool(*args, **kwargs)

**Version**See MaxUnpool.

OnnxMaxUnpool_11

class skl2onnx.algebra.onnx_ops.OnnxMaxUnpool_11(*args, **kwargs)

**Version**See MaxUnpool_11.

OnnxMaxUnpool_22

class skl2onnx.algebra.onnx_ops.OnnxMaxUnpool_22(*args, **kwargs)

**Version**See MaxUnpool_22.

OnnxMaxUnpool_9

class skl2onnx.algebra.onnx_ops.OnnxMaxUnpool_9(*args, **kwargs)

**Version**See MaxUnpool_9.

OnnxMax_1

class skl2onnx.algebra.onnx_ops.OnnxMax_1(*args, **kwargs)

**Version**See Max_1.

OnnxMax_12

class skl2onnx.algebra.onnx_ops.OnnxMax_12(*args, **kwargs)

**Version**See Max_12.

OnnxMax_13

class skl2onnx.algebra.onnx_ops.OnnxMax_13(*args, **kwargs)

**Version**See Max_13.

OnnxMax_6

class skl2onnx.algebra.onnx_ops.OnnxMax_6(*args, **kwargs)

**Version**See Max_6.

OnnxMax_8

class skl2onnx.algebra.onnx_ops.OnnxMax_8(*args, **kwargs)

**Version**See Max_8.

OnnxMean

class skl2onnx.algebra.onnx_ops.OnnxMean(*args, **kwargs)

**Version**See Mean.

OnnxMeanVarianceNormalization

class skl2onnx.algebra.onnx_ops.OnnxMeanVarianceNormalization(*args, **kwargs)

**Version**See MeanVarianceNormalization.

OnnxMeanVarianceNormalization_13

class skl2onnx.algebra.onnx_ops.OnnxMeanVarianceNormalization_13(*args, **kwargs)

**Version**See MeanVarianceNormalization_13.

OnnxMeanVarianceNormalization_9

class skl2onnx.algebra.onnx_ops.OnnxMeanVarianceNormalization_9(*args, **kwargs)

**Version**See MeanVarianceNormalization_9.

OnnxMean_1

class skl2onnx.algebra.onnx_ops.OnnxMean_1(*args, **kwargs)

**Version**See Mean_1.

OnnxMean_13

class skl2onnx.algebra.onnx_ops.OnnxMean_13(*args, **kwargs)

**Version**See Mean_13.

OnnxMean_6

class skl2onnx.algebra.onnx_ops.OnnxMean_6(*args, **kwargs)

**Version**See Mean_6.

OnnxMean_8

class skl2onnx.algebra.onnx_ops.OnnxMean_8(*args, **kwargs)

**Version**See Mean_8.

OnnxMelWeightMatrix

class skl2onnx.algebra.onnx_ops.OnnxMelWeightMatrix(*args, **kwargs)

**Version**See MelWeightMatrix.

OnnxMelWeightMatrix_17

class skl2onnx.algebra.onnx_ops.OnnxMelWeightMatrix_17(*args, **kwargs)

**Version**See MelWeightMatrix_17.

OnnxMin

class skl2onnx.algebra.onnx_ops.OnnxMin(*args, **kwargs)

**Version**See Min.

OnnxMin_1

class skl2onnx.algebra.onnx_ops.OnnxMin_1(*args, **kwargs)

**Version**See Min_1.

OnnxMin_12

class skl2onnx.algebra.onnx_ops.OnnxMin_12(*args, **kwargs)

**Version**See Min_12.

OnnxMin_13

class skl2onnx.algebra.onnx_ops.OnnxMin_13(*args, **kwargs)

**Version**See Min_13.

OnnxMin_6

class skl2onnx.algebra.onnx_ops.OnnxMin_6(*args, **kwargs)

**Version**See Min_6.

OnnxMin_8

class skl2onnx.algebra.onnx_ops.OnnxMin_8(*args, **kwargs)

**Version**See Min_8.

OnnxMish

class skl2onnx.algebra.onnx_ops.OnnxMish(*args, **kwargs)

**Version**See Mish.

OnnxMish_18

class skl2onnx.algebra.onnx_ops.OnnxMish_18(*args, **kwargs)

**Version**See Mish_18.

OnnxMish_22

class skl2onnx.algebra.onnx_ops.OnnxMish_22(*args, **kwargs)

**Version**See Mish_22.

OnnxMod

class skl2onnx.algebra.onnx_ops.OnnxMod(*args, **kwargs)

**Version**See Mod.

OnnxMod_10

class skl2onnx.algebra.onnx_ops.OnnxMod_10(*args, **kwargs)

**Version**See Mod_10.

OnnxMod_13

class skl2onnx.algebra.onnx_ops.OnnxMod_13(*args, **kwargs)

**Version**See Mod_13.

OnnxMomentum

class skl2onnx.algebra.onnx_ops.OnnxMomentum(*args, **kwargs)

**Version**See Momentum.

OnnxMomentum_1

class skl2onnx.algebra.onnx_ops.OnnxMomentum_1(*args, **kwargs)

**Version**See Momentum_1.

OnnxMul

class skl2onnx.algebra.onnx_ops.OnnxMul(*args, **kwargs)

**Version**See Mul.

OnnxMul_1

class skl2onnx.algebra.onnx_ops.OnnxMul_1(*args, **kwargs)

**Version**See Mul_1.

OnnxMul_13

class skl2onnx.algebra.onnx_ops.OnnxMul_13(*args, **kwargs)

**Version**See Mul_13.

OnnxMul_14

class skl2onnx.algebra.onnx_ops.OnnxMul_14(*args, **kwargs)

**Version**See Mul_14.

OnnxMul_6

class skl2onnx.algebra.onnx_ops.OnnxMul_6(*args, **kwargs)

**Version**See Mul_6.

OnnxMul_7

class skl2onnx.algebra.onnx_ops.OnnxMul_7(*args, **kwargs)

**Version**See Mul_7.

OnnxMultinomial

class skl2onnx.algebra.onnx_ops.OnnxMultinomial(*args, **kwargs)

**Version**See Multinomial.

OnnxMultinomial_22

class skl2onnx.algebra.onnx_ops.OnnxMultinomial_22(*args, **kwargs)

**Version**See Multinomial_22.

OnnxMultinomial_7

class skl2onnx.algebra.onnx_ops.OnnxMultinomial_7(*args, **kwargs)

**Version**See Multinomial_7.

OnnxNeg

class skl2onnx.algebra.onnx_ops.OnnxNeg(*args, **kwargs)

**Version**See Neg.

OnnxNeg_1

class skl2onnx.algebra.onnx_ops.OnnxNeg_1(*args, **kwargs)

**Version**See Neg_1.

OnnxNeg_13

class skl2onnx.algebra.onnx_ops.OnnxNeg_13(*args, **kwargs)

**Version**See Neg_13.

OnnxNeg_6

class skl2onnx.algebra.onnx_ops.OnnxNeg_6(*args, **kwargs)

**Version**See Neg_6.

OnnxNegativeLogLikelihoodLoss

class skl2onnx.algebra.onnx_ops.OnnxNegativeLogLikelihoodLoss(*args, **kwargs)

**Version**See NegativeLogLikelihoodLoss.

OnnxNegativeLogLikelihoodLoss_12

class skl2onnx.algebra.onnx_ops.OnnxNegativeLogLikelihoodLoss_12(*args, **kwargs)

**Version**See NegativeLogLikelihoodLoss_12.

OnnxNegativeLogLikelihoodLoss_13

class skl2onnx.algebra.onnx_ops.OnnxNegativeLogLikelihoodLoss_13(*args, **kwargs)

**Version**See NegativeLogLikelihoodLoss_13.

OnnxNegativeLogLikelihoodLoss_22

class skl2onnx.algebra.onnx_ops.OnnxNegativeLogLikelihoodLoss_22(*args, **kwargs)

**Version**See NegativeLogLikelihoodLoss_22.

OnnxNonMaxSuppression

class skl2onnx.algebra.onnx_ops.OnnxNonMaxSuppression(*args, **kwargs)

**Version**See NonMaxSuppression.

OnnxNonMaxSuppression_10

class skl2onnx.algebra.onnx_ops.OnnxNonMaxSuppression_10(*args, **kwargs)

**Version**See NonMaxSuppression_10.

OnnxNonMaxSuppression_11

class skl2onnx.algebra.onnx_ops.OnnxNonMaxSuppression_11(*args, **kwargs)

**Version**See NonMaxSuppression_11.

OnnxNonZero

class skl2onnx.algebra.onnx_ops.OnnxNonZero(*args, **kwargs)

**Version**See NonZero.

OnnxNonZero_13

class skl2onnx.algebra.onnx_ops.OnnxNonZero_13(*args, **kwargs)

**Version**See NonZero_13.

OnnxNonZero_9

class skl2onnx.algebra.onnx_ops.OnnxNonZero_9(*args, **kwargs)

**Version**See NonZero_9.

OnnxNormalizer

class skl2onnx.algebra.onnx_ops.OnnxNormalizer(*args, **kwargs)

**Version**See Normalizer.

OnnxNormalizer_1

class skl2onnx.algebra.onnx_ops.OnnxNormalizer_1(*args, **kwargs)

**Version**See Normalizer_1.

OnnxNot

class skl2onnx.algebra.onnx_ops.OnnxNot(*args, **kwargs)

**Version**See Not.

OnnxNot_1

class skl2onnx.algebra.onnx_ops.OnnxNot_1(*args, **kwargs)

**Version**See Not_1.

OnnxOneHot

class skl2onnx.algebra.onnx_ops.OnnxOneHot(*args, **kwargs)

**Version**See OneHot.

OnnxOneHotEncoder

class skl2onnx.algebra.onnx_ops.OnnxOneHotEncoder(*args, **kwargs)

**Version**See OneHotEncoder.

OnnxOneHotEncoder_1

class skl2onnx.algebra.onnx_ops.OnnxOneHotEncoder_1(*args, **kwargs)

**Version**See OneHotEncoder_1.

OnnxOneHot_11

class skl2onnx.algebra.onnx_ops.OnnxOneHot_11(*args, **kwargs)

**Version**See OneHot_11.

OnnxOneHot_9

class skl2onnx.algebra.onnx_ops.OnnxOneHot_9(*args, **kwargs)

**Version**See OneHot_9.

OnnxOptional

class skl2onnx.algebra.onnx_ops.OnnxOptional(*args, **kwargs)

**Version**See Optional.

OnnxOptionalGetElement

class skl2onnx.algebra.onnx_ops.OnnxOptionalGetElement(*args, **kwargs)

**Version**See OptionalGetElement.

OnnxOptionalGetElement_15

class skl2onnx.algebra.onnx_ops.OnnxOptionalGetElement_15(*args, **kwargs)

**Version**See OptionalGetElement_15.

OnnxOptionalGetElement_18

class skl2onnx.algebra.onnx_ops.OnnxOptionalGetElement_18(*args, **kwargs)

**Version**See OptionalGetElement_18.

OnnxOptionalHasElement

class skl2onnx.algebra.onnx_ops.OnnxOptionalHasElement(*args, **kwargs)

**Version**See OptionalHasElement.

OnnxOptionalHasElement_15

class skl2onnx.algebra.onnx_ops.OnnxOptionalHasElement_15(*args, **kwargs)

**Version**See OptionalHasElement_15.

OnnxOptionalHasElement_18

class skl2onnx.algebra.onnx_ops.OnnxOptionalHasElement_18(*args, **kwargs)

**Version**See OptionalHasElement_18.

OnnxOptional_15

class skl2onnx.algebra.onnx_ops.OnnxOptional_15(*args, **kwargs)

**Version**See Optional_15.

OnnxOr

class skl2onnx.algebra.onnx_ops.OnnxOr(*args, **kwargs)

**Version**See Or.

OnnxOr_1

class skl2onnx.algebra.onnx_ops.OnnxOr_1(*args, **kwargs)

**Version**See Or_1.

OnnxOr_7

class skl2onnx.algebra.onnx_ops.OnnxOr_7(*args, **kwargs)

**Version**See Or_7.

OnnxPRelu

class skl2onnx.algebra.onnx_ops.OnnxPRelu(*args, **kwargs)

**Version**See PRelu.

OnnxPRelu_1

class skl2onnx.algebra.onnx_ops.OnnxPRelu_1(*args, **kwargs)

**Version**See PRelu_1.

OnnxPRelu_16

class skl2onnx.algebra.onnx_ops.OnnxPRelu_16(*args, **kwargs)

**Version**See PRelu_16.

OnnxPRelu_6

class skl2onnx.algebra.onnx_ops.OnnxPRelu_6(*args, **kwargs)

**Version**See PRelu_6.

OnnxPRelu_7

class skl2onnx.algebra.onnx_ops.OnnxPRelu_7(*args, **kwargs)

**Version**See PRelu_7.

OnnxPRelu_9

class skl2onnx.algebra.onnx_ops.OnnxPRelu_9(*args, **kwargs)

**Version**See PRelu_9.

OnnxPad

class skl2onnx.algebra.onnx_ops.OnnxPad(*args, **kwargs)

**Version**See Pad.

OnnxPad_1

class skl2onnx.algebra.onnx_ops.OnnxPad_1(*args, **kwargs)

**Version**See Pad_1.

OnnxPad_11

class skl2onnx.algebra.onnx_ops.OnnxPad_11(*args, **kwargs)

**Version**See Pad_11.

OnnxPad_13

class skl2onnx.algebra.onnx_ops.OnnxPad_13(*args, **kwargs)

**Version**See Pad_13.

OnnxPad_18

class skl2onnx.algebra.onnx_ops.OnnxPad_18(*args, **kwargs)

**Version**See Pad_18.

OnnxPad_19

class skl2onnx.algebra.onnx_ops.OnnxPad_19(*args, **kwargs)

**Version**See Pad_19.

OnnxPad_2

class skl2onnx.algebra.onnx_ops.OnnxPad_2(*args, **kwargs)

**Version**See Pad_2.

OnnxPad_21

class skl2onnx.algebra.onnx_ops.OnnxPad_21(*args, **kwargs)

**Version**See Pad_21.

OnnxPow

class skl2onnx.algebra.onnx_ops.OnnxPow(*args, **kwargs)

**Version**See Pow.

OnnxPow_1

class skl2onnx.algebra.onnx_ops.OnnxPow_1(*args, **kwargs)

**Version**See Pow_1.

OnnxPow_12

class skl2onnx.algebra.onnx_ops.OnnxPow_12(*args, **kwargs)

**Version**See Pow_12.

OnnxPow_13

class skl2onnx.algebra.onnx_ops.OnnxPow_13(*args, **kwargs)

**Version**See Pow_13.

OnnxPow_15

class skl2onnx.algebra.onnx_ops.OnnxPow_15(*args, **kwargs)

**Version**See Pow_15.

OnnxPow_7

class skl2onnx.algebra.onnx_ops.OnnxPow_7(*args, **kwargs)

**Version**See Pow_7.

OnnxQLinearConv

class skl2onnx.algebra.onnx_ops.OnnxQLinearConv(*args, **kwargs)

**Version**See QLinearConv.

OnnxQLinearConv_10

class skl2onnx.algebra.onnx_ops.OnnxQLinearConv_10(*args, **kwargs)

**Version**See QLinearConv_10.

OnnxQLinearMatMul

class skl2onnx.algebra.onnx_ops.OnnxQLinearMatMul(*args, **kwargs)

**Version**See QLinearMatMul.

OnnxQLinearMatMul_10

class skl2onnx.algebra.onnx_ops.OnnxQLinearMatMul_10(*args, **kwargs)

**Version**See QLinearMatMul_10.

OnnxQLinearMatMul_21

class skl2onnx.algebra.onnx_ops.OnnxQLinearMatMul_21(*args, **kwargs)

**Version**See QLinearMatMul_21.

OnnxQuantizeLinear

class skl2onnx.algebra.onnx_ops.OnnxQuantizeLinear(*args, **kwargs)

**Version**See QuantizeLinear.

OnnxQuantizeLinear_10

class skl2onnx.algebra.onnx_ops.OnnxQuantizeLinear_10(*args, **kwargs)

**Version**See QuantizeLinear_10.

OnnxQuantizeLinear_13

class skl2onnx.algebra.onnx_ops.OnnxQuantizeLinear_13(*args, **kwargs)

**Version**See QuantizeLinear_13.

OnnxQuantizeLinear_19

class skl2onnx.algebra.onnx_ops.OnnxQuantizeLinear_19(*args, **kwargs)

**Version**See QuantizeLinear_19.

OnnxQuantizeLinear_21

class skl2onnx.algebra.onnx_ops.OnnxQuantizeLinear_21(*args, **kwargs)

**Version**See QuantizeLinear_21.

OnnxRNN

class skl2onnx.algebra.onnx_ops.OnnxRNN(*args, **kwargs)

**Version**See RNN.

OnnxRNN_1

class skl2onnx.algebra.onnx_ops.OnnxRNN_1(*args, **kwargs)

**Version**See RNN_1.

OnnxRNN_14

class skl2onnx.algebra.onnx_ops.OnnxRNN_14(*args, **kwargs)

**Version**See RNN_14.

OnnxRNN_22

class skl2onnx.algebra.onnx_ops.OnnxRNN_22(*args, **kwargs)

**Version**See RNN_22.

OnnxRNN_7

class skl2onnx.algebra.onnx_ops.OnnxRNN_7(*args, **kwargs)

**Version**See RNN_7.

OnnxRandomNormal

class skl2onnx.algebra.onnx_ops.OnnxRandomNormal(*args, **kwargs)

**Version**See RandomNormal.

OnnxRandomNormalLike

class skl2onnx.algebra.onnx_ops.OnnxRandomNormalLike(*args, **kwargs)

**Version**See RandomNormalLike.

OnnxRandomNormalLike_1

class skl2onnx.algebra.onnx_ops.OnnxRandomNormalLike_1(*args, **kwargs)

**Version**See RandomNormalLike_1.

OnnxRandomNormalLike_22

class skl2onnx.algebra.onnx_ops.OnnxRandomNormalLike_22(*args, **kwargs)

**Version**See RandomNormalLike_22.

OnnxRandomNormal_1

class skl2onnx.algebra.onnx_ops.OnnxRandomNormal_1(*args, **kwargs)

**Version**See RandomNormal_1.

OnnxRandomNormal_22

class skl2onnx.algebra.onnx_ops.OnnxRandomNormal_22(*args, **kwargs)

**Version**See RandomNormal_22.

OnnxRandomUniform

class skl2onnx.algebra.onnx_ops.OnnxRandomUniform(*args, **kwargs)

**Version**See RandomUniform.

OnnxRandomUniformLike

class skl2onnx.algebra.onnx_ops.OnnxRandomUniformLike(*args, **kwargs)

**Version**See RandomUniformLike.

OnnxRandomUniformLike_1

class skl2onnx.algebra.onnx_ops.OnnxRandomUniformLike_1(*args, **kwargs)

**Version**See RandomUniformLike_1.

OnnxRandomUniformLike_22

class skl2onnx.algebra.onnx_ops.OnnxRandomUniformLike_22(*args, **kwargs)

**Version**See RandomUniformLike_22.

OnnxRandomUniform_1

class skl2onnx.algebra.onnx_ops.OnnxRandomUniform_1(*args, **kwargs)

**Version**See RandomUniform_1.

OnnxRandomUniform_22

class skl2onnx.algebra.onnx_ops.OnnxRandomUniform_22(*args, **kwargs)

**Version**See RandomUniform_22.

OnnxRange

class skl2onnx.algebra.onnx_ops.OnnxRange(*args, **kwargs)

**Version**See Range.

OnnxRange_11

class skl2onnx.algebra.onnx_ops.OnnxRange_11(*args, **kwargs)

**Version**See Range_11.

OnnxReciprocal

class skl2onnx.algebra.onnx_ops.OnnxReciprocal(*args, **kwargs)

**Version**See Reciprocal.

OnnxReciprocal_1

class skl2onnx.algebra.onnx_ops.OnnxReciprocal_1(*args, **kwargs)

**Version**See Reciprocal_1.

OnnxReciprocal_13

class skl2onnx.algebra.onnx_ops.OnnxReciprocal_13(*args, **kwargs)

**Version**See Reciprocal_13.

OnnxReciprocal_6

class skl2onnx.algebra.onnx_ops.OnnxReciprocal_6(*args, **kwargs)

**Version**See Reciprocal_6.

OnnxReduceL1

class skl2onnx.algebra.onnx_ops.OnnxReduceL1(*args, **kwargs)

**Version**See ReduceL1.

OnnxReduceL1_1

class skl2onnx.algebra.onnx_ops.OnnxReduceL1_1(*args, **kwargs)

**Version**See ReduceL1_1.

OnnxReduceL1_11

class skl2onnx.algebra.onnx_ops.OnnxReduceL1_11(*args, **kwargs)

**Version**See ReduceL1_11.

OnnxReduceL1_13

class skl2onnx.algebra.onnx_ops.OnnxReduceL1_13(*args, **kwargs)

**Version**See ReduceL1_13.

OnnxReduceL1_18

class skl2onnx.algebra.onnx_ops.OnnxReduceL1_18(*args, **kwargs)

**Version**See ReduceL1_18.

OnnxReduceL2

class skl2onnx.algebra.onnx_ops.OnnxReduceL2(*args, **kwargs)

**Version**See ReduceL2.

OnnxReduceL2_1

class skl2onnx.algebra.onnx_ops.OnnxReduceL2_1(*args, **kwargs)

**Version**See ReduceL2_1.

OnnxReduceL2_11

class skl2onnx.algebra.onnx_ops.OnnxReduceL2_11(*args, **kwargs)

**Version**See ReduceL2_11.

OnnxReduceL2_13

class skl2onnx.algebra.onnx_ops.OnnxReduceL2_13(*args, **kwargs)

**Version**See ReduceL2_13.

OnnxReduceL2_18

class skl2onnx.algebra.onnx_ops.OnnxReduceL2_18(*args, **kwargs)

**Version**See ReduceL2_18.

OnnxReduceLogSum

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSum(*args, **kwargs)

**Version**See ReduceLogSum.

OnnxReduceLogSumExp

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSumExp(*args, **kwargs)

**Version**See ReduceLogSumExp.

OnnxReduceLogSumExp_1

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSumExp_1(*args, **kwargs)

**Version**See ReduceLogSumExp_1.

OnnxReduceLogSumExp_11

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSumExp_11(*args, **kwargs)

**Version**See ReduceLogSumExp_11.

OnnxReduceLogSumExp_13

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSumExp_13(*args, **kwargs)

**Version**See ReduceLogSumExp_13.

OnnxReduceLogSumExp_18

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSumExp_18(*args, **kwargs)

**Version**See ReduceLogSumExp_18.

OnnxReduceLogSum_1

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSum_1(*args, **kwargs)

**Version**See ReduceLogSum_1.

OnnxReduceLogSum_11

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSum_11(*args, **kwargs)

**Version**See ReduceLogSum_11.

OnnxReduceLogSum_13

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSum_13(*args, **kwargs)

**Version**See ReduceLogSum_13.

OnnxReduceLogSum_18

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSum_18(*args, **kwargs)

**Version**See ReduceLogSum_18.

OnnxReduceMax

class skl2onnx.algebra.onnx_ops.OnnxReduceMax(*args, **kwargs)

**Version**See ReduceMax.

OnnxReduceMax_1

class skl2onnx.algebra.onnx_ops.OnnxReduceMax_1(*args, **kwargs)

**Version**See ReduceMax_1.

OnnxReduceMax_11

class skl2onnx.algebra.onnx_ops.OnnxReduceMax_11(*args, **kwargs)

**Version**See ReduceMax_11.

OnnxReduceMax_12

class skl2onnx.algebra.onnx_ops.OnnxReduceMax_12(*args, **kwargs)

**Version**See ReduceMax_12.

OnnxReduceMax_13

class skl2onnx.algebra.onnx_ops.OnnxReduceMax_13(*args, **kwargs)

**Version**See ReduceMax_13.

OnnxReduceMax_18

class skl2onnx.algebra.onnx_ops.OnnxReduceMax_18(*args, **kwargs)

**Version**See ReduceMax_18.

OnnxReduceMax_20

class skl2onnx.algebra.onnx_ops.OnnxReduceMax_20(*args, **kwargs)

**Version**See ReduceMax_20.

OnnxReduceMean

class skl2onnx.algebra.onnx_ops.OnnxReduceMean(*args, **kwargs)

**Version**See ReduceMean.

OnnxReduceMean_1

class skl2onnx.algebra.onnx_ops.OnnxReduceMean_1(*args, **kwargs)

**Version**See ReduceMean_1.

OnnxReduceMean_11

class skl2onnx.algebra.onnx_ops.OnnxReduceMean_11(*args, **kwargs)

**Version**See ReduceMean_11.

OnnxReduceMean_13

class skl2onnx.algebra.onnx_ops.OnnxReduceMean_13(*args, **kwargs)

**Version**See ReduceMean_13.

OnnxReduceMean_18

class skl2onnx.algebra.onnx_ops.OnnxReduceMean_18(*args, **kwargs)

**Version**See ReduceMean_18.

OnnxReduceMin

class skl2onnx.algebra.onnx_ops.OnnxReduceMin(*args, **kwargs)

**Version**See ReduceMin.

OnnxReduceMin_1

class skl2onnx.algebra.onnx_ops.OnnxReduceMin_1(*args, **kwargs)

**Version**See ReduceMin_1.

OnnxReduceMin_11

class skl2onnx.algebra.onnx_ops.OnnxReduceMin_11(*args, **kwargs)

**Version**See ReduceMin_11.

OnnxReduceMin_12

class skl2onnx.algebra.onnx_ops.OnnxReduceMin_12(*args, **kwargs)

**Version**See ReduceMin_12.

OnnxReduceMin_13

class skl2onnx.algebra.onnx_ops.OnnxReduceMin_13(*args, **kwargs)

**Version**See ReduceMin_13.

OnnxReduceMin_18

class skl2onnx.algebra.onnx_ops.OnnxReduceMin_18(*args, **kwargs)

**Version**See ReduceMin_18.

OnnxReduceMin_20

class skl2onnx.algebra.onnx_ops.OnnxReduceMin_20(*args, **kwargs)

**Version**See ReduceMin_20.

OnnxReduceProd

class skl2onnx.algebra.onnx_ops.OnnxReduceProd(*args, **kwargs)

**Version**See ReduceProd.

OnnxReduceProd_1

class skl2onnx.algebra.onnx_ops.OnnxReduceProd_1(*args, **kwargs)

**Version**See ReduceProd_1.

OnnxReduceProd_11

class skl2onnx.algebra.onnx_ops.OnnxReduceProd_11(*args, **kwargs)

**Version**See ReduceProd_11.

OnnxReduceProd_13

class skl2onnx.algebra.onnx_ops.OnnxReduceProd_13(*args, **kwargs)

**Version**See ReduceProd_13.

OnnxReduceProd_18

class skl2onnx.algebra.onnx_ops.OnnxReduceProd_18(*args, **kwargs)

**Version**See ReduceProd_18.

OnnxReduceSum

class skl2onnx.algebra.onnx_ops.OnnxReduceSum(*args, **kwargs)

**Version**See ReduceSum.

OnnxReduceSumSquare

class skl2onnx.algebra.onnx_ops.OnnxReduceSumSquare(*args, **kwargs)

**Version**See ReduceSumSquare.

OnnxReduceSumSquare_1

class skl2onnx.algebra.onnx_ops.OnnxReduceSumSquare_1(*args, **kwargs)

**Version**See ReduceSumSquare_1.

OnnxReduceSumSquare_11

class skl2onnx.algebra.onnx_ops.OnnxReduceSumSquare_11(*args, **kwargs)

**Version**See ReduceSumSquare_11.

OnnxReduceSumSquare_13

class skl2onnx.algebra.onnx_ops.OnnxReduceSumSquare_13(*args, **kwargs)

**Version**See ReduceSumSquare_13.

OnnxReduceSumSquare_18

class skl2onnx.algebra.onnx_ops.OnnxReduceSumSquare_18(*args, **kwargs)

**Version**See ReduceSumSquare_18.

OnnxReduceSum_1

class skl2onnx.algebra.onnx_ops.OnnxReduceSum_1(*args, **kwargs)

**Version**See ReduceSum_1.

OnnxReduceSum_11

class skl2onnx.algebra.onnx_ops.OnnxReduceSum_11(*args, **kwargs)

**Version**See ReduceSum_11.

OnnxReduceSum_13

class skl2onnx.algebra.onnx_ops.OnnxReduceSum_13(*args, **kwargs)

**Version**See ReduceSum_13.

OnnxRegexFullMatch

class skl2onnx.algebra.onnx_ops.OnnxRegexFullMatch(*args, **kwargs)

**Version**See RegexFullMatch.

OnnxRegexFullMatch_20

class skl2onnx.algebra.onnx_ops.OnnxRegexFullMatch_20(*args, **kwargs)

**Version**See RegexFullMatch_20.

OnnxRelu

class skl2onnx.algebra.onnx_ops.OnnxRelu(*args, **kwargs)

**Version**See Relu.

OnnxRelu_1

class skl2onnx.algebra.onnx_ops.OnnxRelu_1(*args, **kwargs)

**Version**See Relu_1.

OnnxRelu_13

class skl2onnx.algebra.onnx_ops.OnnxRelu_13(*args, **kwargs)

**Version**See Relu_13.

OnnxRelu_14

class skl2onnx.algebra.onnx_ops.OnnxRelu_14(*args, **kwargs)

**Version**See Relu_14.

OnnxRelu_6

class skl2onnx.algebra.onnx_ops.OnnxRelu_6(*args, **kwargs)

**Version**See Relu_6.

OnnxReshape

class skl2onnx.algebra.onnx_ops.OnnxReshape(*args, **kwargs)

**Version**See Reshape.

OnnxReshape_1

class skl2onnx.algebra.onnx_ops.OnnxReshape_1(*args, **kwargs)

**Version**See Reshape_1.

OnnxReshape_13

class skl2onnx.algebra.onnx_ops.OnnxReshape_13(*args, **kwargs)

**Version**See Reshape_13.

OnnxReshape_14

class skl2onnx.algebra.onnx_ops.OnnxReshape_14(*args, **kwargs)

**Version**See Reshape_14.

OnnxReshape_19

class skl2onnx.algebra.onnx_ops.OnnxReshape_19(*args, **kwargs)

**Version**See Reshape_19.

OnnxReshape_21

class skl2onnx.algebra.onnx_ops.OnnxReshape_21(*args, **kwargs)

**Version**See Reshape_21.

OnnxReshape_5

class skl2onnx.algebra.onnx_ops.OnnxReshape_5(*args, **kwargs)

**Version**See Reshape_5.

OnnxResize

class skl2onnx.algebra.onnx_ops.OnnxResize(*args, **kwargs)

**Version**See Resize.

OnnxResize_10

class skl2onnx.algebra.onnx_ops.OnnxResize_10(*args, **kwargs)

**Version**See Resize_10.

OnnxResize_11

class skl2onnx.algebra.onnx_ops.OnnxResize_11(*args, **kwargs)

**Version**See Resize_11.

OnnxResize_13

class skl2onnx.algebra.onnx_ops.OnnxResize_13(*args, **kwargs)

**Version**See Resize_13.

OnnxResize_18

class skl2onnx.algebra.onnx_ops.OnnxResize_18(*args, **kwargs)

**Version**See Resize_18.

OnnxResize_19

class skl2onnx.algebra.onnx_ops.OnnxResize_19(*args, **kwargs)

**Version**See Resize_19.

OnnxReverseSequence

class skl2onnx.algebra.onnx_ops.OnnxReverseSequence(*args, **kwargs)

**Version**See ReverseSequence.

OnnxReverseSequence_10

class skl2onnx.algebra.onnx_ops.OnnxReverseSequence_10(*args, **kwargs)

**Version**See ReverseSequence_10.

OnnxRoiAlign

class skl2onnx.algebra.onnx_ops.OnnxRoiAlign(*args, **kwargs)

**Version**See RoiAlign.

OnnxRoiAlign_10

class skl2onnx.algebra.onnx_ops.OnnxRoiAlign_10(*args, **kwargs)

**Version**See RoiAlign_10.

OnnxRoiAlign_16

class skl2onnx.algebra.onnx_ops.OnnxRoiAlign_16(*args, **kwargs)

**Version**See RoiAlign_16.

OnnxRoiAlign_22

class skl2onnx.algebra.onnx_ops.OnnxRoiAlign_22(*args, **kwargs)

**Version**See RoiAlign_22.

OnnxRound

class skl2onnx.algebra.onnx_ops.OnnxRound(*args, **kwargs)

**Version**See Round.

OnnxRound_11

class skl2onnx.algebra.onnx_ops.OnnxRound_11(*args, **kwargs)

**Version**See Round_11.

OnnxRound_22

class skl2onnx.algebra.onnx_ops.OnnxRound_22(*args, **kwargs)

**Version**See Round_22.

OnnxSTFT

class skl2onnx.algebra.onnx_ops.OnnxSTFT(*args, **kwargs)

**Version**See STFT.

OnnxSTFT_17

class skl2onnx.algebra.onnx_ops.OnnxSTFT_17(*args, **kwargs)

**Version**See STFT_17.

OnnxSVMClassifier

class skl2onnx.algebra.onnx_ops.OnnxSVMClassifier(*args, **kwargs)

**Version**See SVMClassifier.

OnnxSVMClassifier_1

class skl2onnx.algebra.onnx_ops.OnnxSVMClassifier_1(*args, **kwargs)

**Version**See SVMClassifier_1.

OnnxSVMRegressor

class skl2onnx.algebra.onnx_ops.OnnxSVMRegressor(*args, **kwargs)

**Version**See SVMRegressor.

OnnxSVMRegressor_1

class skl2onnx.algebra.onnx_ops.OnnxSVMRegressor_1(*args, **kwargs)

**Version**See SVMRegressor_1.

OnnxScaler

class skl2onnx.algebra.onnx_ops.OnnxScaler(*args, **kwargs)

**Version**See Scaler.

OnnxScaler_1

class skl2onnx.algebra.onnx_ops.OnnxScaler_1(*args, **kwargs)

**Version**See Scaler_1.

OnnxScan

class skl2onnx.algebra.onnx_ops.OnnxScan(*args, **kwargs)

**Version**See Scan.

OnnxScan_11

class skl2onnx.algebra.onnx_ops.OnnxScan_11(*args, **kwargs)

**Version**See Scan_11.

OnnxScan_16

class skl2onnx.algebra.onnx_ops.OnnxScan_16(*args, **kwargs)

**Version**See Scan_16.

OnnxScan_19

class skl2onnx.algebra.onnx_ops.OnnxScan_19(*args, **kwargs)

**Version**See Scan_19.

OnnxScan_21

class skl2onnx.algebra.onnx_ops.OnnxScan_21(*args, **kwargs)

**Version**See Scan_21.

OnnxScan_8

class skl2onnx.algebra.onnx_ops.OnnxScan_8(*args, **kwargs)

**Version**See Scan_8.

OnnxScan_9

class skl2onnx.algebra.onnx_ops.OnnxScan_9(*args, **kwargs)

**Version**See Scan_9.

OnnxScatter

class skl2onnx.algebra.onnx_ops.OnnxScatter(*args, **kwargs)

**Version**See Scatter.

OnnxScatterElements

class skl2onnx.algebra.onnx_ops.OnnxScatterElements(*args, **kwargs)

**Version**See ScatterElements.

OnnxScatterElements_11

class skl2onnx.algebra.onnx_ops.OnnxScatterElements_11(*args, **kwargs)

**Version**See ScatterElements_11.

OnnxScatterElements_13

class skl2onnx.algebra.onnx_ops.OnnxScatterElements_13(*args, **kwargs)

**Version**See ScatterElements_13.

OnnxScatterElements_16

class skl2onnx.algebra.onnx_ops.OnnxScatterElements_16(*args, **kwargs)

**Version**See ScatterElements_16.

OnnxScatterElements_18

class skl2onnx.algebra.onnx_ops.OnnxScatterElements_18(*args, **kwargs)

**Version**See ScatterElements_18.

OnnxScatterND

class skl2onnx.algebra.onnx_ops.OnnxScatterND(*args, **kwargs)

**Version**See ScatterND.

OnnxScatterND_11

class skl2onnx.algebra.onnx_ops.OnnxScatterND_11(*args, **kwargs)

**Version**See ScatterND_11.

OnnxScatterND_13

class skl2onnx.algebra.onnx_ops.OnnxScatterND_13(*args, **kwargs)

**Version**See ScatterND_13.

OnnxScatterND_16

class skl2onnx.algebra.onnx_ops.OnnxScatterND_16(*args, **kwargs)

**Version**See ScatterND_16.

OnnxScatterND_18

class skl2onnx.algebra.onnx_ops.OnnxScatterND_18(*args, **kwargs)

**Version**See ScatterND_18.

OnnxScatter_11

class skl2onnx.algebra.onnx_ops.OnnxScatter_11(*args, **kwargs)

**Version**See Scatter_11.

OnnxScatter_9

class skl2onnx.algebra.onnx_ops.OnnxScatter_9(*args, **kwargs)

**Version**See Scatter_9.

OnnxSelu

class skl2onnx.algebra.onnx_ops.OnnxSelu(*args, **kwargs)

**Version**See Selu.

OnnxSelu_1

class skl2onnx.algebra.onnx_ops.OnnxSelu_1(*args, **kwargs)

**Version**See Selu_1.

OnnxSelu_22

class skl2onnx.algebra.onnx_ops.OnnxSelu_22(*args, **kwargs)

**Version**See Selu_22.

OnnxSelu_6

class skl2onnx.algebra.onnx_ops.OnnxSelu_6(*args, **kwargs)

**Version**See Selu_6.

OnnxSequenceAt

class skl2onnx.algebra.onnx_ops.OnnxSequenceAt(*args, **kwargs)

**Version**See SequenceAt.

OnnxSequenceAt_11

class skl2onnx.algebra.onnx_ops.OnnxSequenceAt_11(*args, **kwargs)

**Version**See SequenceAt_11.

OnnxSequenceConstruct

class skl2onnx.algebra.onnx_ops.OnnxSequenceConstruct(*args, **kwargs)

**Version**See SequenceConstruct.

OnnxSequenceConstruct_11

class skl2onnx.algebra.onnx_ops.OnnxSequenceConstruct_11(*args, **kwargs)

**Version**See SequenceConstruct_11.

OnnxSequenceEmpty

class skl2onnx.algebra.onnx_ops.OnnxSequenceEmpty(*args, **kwargs)

**Version**See SequenceEmpty.

OnnxSequenceEmpty_11

class skl2onnx.algebra.onnx_ops.OnnxSequenceEmpty_11(*args, **kwargs)

**Version**See SequenceEmpty_11.

OnnxSequenceErase

class skl2onnx.algebra.onnx_ops.OnnxSequenceErase(*args, **kwargs)

**Version**See SequenceErase.

OnnxSequenceErase_11

class skl2onnx.algebra.onnx_ops.OnnxSequenceErase_11(*args, **kwargs)

**Version**See SequenceErase_11.

OnnxSequenceInsert

class skl2onnx.algebra.onnx_ops.OnnxSequenceInsert(*args, **kwargs)

**Version**See SequenceInsert.

OnnxSequenceInsert_11

class skl2onnx.algebra.onnx_ops.OnnxSequenceInsert_11(*args, **kwargs)

**Version**See SequenceInsert_11.

OnnxSequenceLength

class skl2onnx.algebra.onnx_ops.OnnxSequenceLength(*args, **kwargs)

**Version**See SequenceLength.

OnnxSequenceLength_11

class skl2onnx.algebra.onnx_ops.OnnxSequenceLength_11(*args, **kwargs)

**Version**See SequenceLength_11.

OnnxSequenceMap

class skl2onnx.algebra.onnx_ops.OnnxSequenceMap(*args, **kwargs)

**Version**See SequenceMap.

OnnxSequenceMap_17

class skl2onnx.algebra.onnx_ops.OnnxSequenceMap_17(*args, **kwargs)

**Version**See SequenceMap_17.

OnnxShape

class skl2onnx.algebra.onnx_ops.OnnxShape(*args, **kwargs)

**Version**See Shape.

OnnxShape_1

class skl2onnx.algebra.onnx_ops.OnnxShape_1(*args, **kwargs)

**Version**See Shape_1.

OnnxShape_13

class skl2onnx.algebra.onnx_ops.OnnxShape_13(*args, **kwargs)

**Version**See Shape_13.

OnnxShape_15

class skl2onnx.algebra.onnx_ops.OnnxShape_15(*args, **kwargs)

**Version**See Shape_15.

OnnxShape_19

class skl2onnx.algebra.onnx_ops.OnnxShape_19(*args, **kwargs)

**Version**See Shape_19.

OnnxShape_21

class skl2onnx.algebra.onnx_ops.OnnxShape_21(*args, **kwargs)

**Version**See Shape_21.

OnnxShrink

class skl2onnx.algebra.onnx_ops.OnnxShrink(*args, **kwargs)

**Version**See Shrink.

OnnxShrink_9

class skl2onnx.algebra.onnx_ops.OnnxShrink_9(*args, **kwargs)

**Version**See Shrink_9.

OnnxSigmoid

class skl2onnx.algebra.onnx_ops.OnnxSigmoid(*args, **kwargs)

**Version**See Sigmoid.

OnnxSigmoid_1

class skl2onnx.algebra.onnx_ops.OnnxSigmoid_1(*args, **kwargs)

**Version**See Sigmoid_1.

OnnxSigmoid_13

class skl2onnx.algebra.onnx_ops.OnnxSigmoid_13(*args, **kwargs)

**Version**See Sigmoid_13.

OnnxSigmoid_6

class skl2onnx.algebra.onnx_ops.OnnxSigmoid_6(*args, **kwargs)

**Version**See Sigmoid_6.

OnnxSign

class skl2onnx.algebra.onnx_ops.OnnxSign(*args, **kwargs)

**Version**See Sign.

OnnxSign_13

class skl2onnx.algebra.onnx_ops.OnnxSign_13(*args, **kwargs)

**Version**See Sign_13.

OnnxSign_9

class skl2onnx.algebra.onnx_ops.OnnxSign_9(*args, **kwargs)

**Version**See Sign_9.

OnnxSin

class skl2onnx.algebra.onnx_ops.OnnxSin(*args, **kwargs)

**Version**See Sin.

OnnxSin_22

class skl2onnx.algebra.onnx_ops.OnnxSin_22(*args, **kwargs)

**Version**See Sin_22.

OnnxSin_7

class skl2onnx.algebra.onnx_ops.OnnxSin_7(*args, **kwargs)

**Version**See Sin_7.

OnnxSinh

class skl2onnx.algebra.onnx_ops.OnnxSinh(*args, **kwargs)

**Version**See Sinh.

OnnxSinh_22

class skl2onnx.algebra.onnx_ops.OnnxSinh_22(*args, **kwargs)

**Version**See Sinh_22.

OnnxSinh_9

class skl2onnx.algebra.onnx_ops.OnnxSinh_9(*args, **kwargs)

**Version**See Sinh_9.

OnnxSize

class skl2onnx.algebra.onnx_ops.OnnxSize(*args, **kwargs)

**Version**See Size.

OnnxSize_1

class skl2onnx.algebra.onnx_ops.OnnxSize_1(*args, **kwargs)

**Version**See Size_1.

OnnxSize_13

class skl2onnx.algebra.onnx_ops.OnnxSize_13(*args, **kwargs)

**Version**See Size_13.

OnnxSize_19

class skl2onnx.algebra.onnx_ops.OnnxSize_19(*args, **kwargs)

**Version**See Size_19.

OnnxSize_21

class skl2onnx.algebra.onnx_ops.OnnxSize_21(*args, **kwargs)

**Version**See Size_21.

OnnxSlice

class skl2onnx.algebra.onnx_ops.OnnxSlice(*args, **kwargs)

**Version**See Slice.

OnnxSlice_1

class skl2onnx.algebra.onnx_ops.OnnxSlice_1(*args, **kwargs)

**Version**See Slice_1.

OnnxSlice_10

class skl2onnx.algebra.onnx_ops.OnnxSlice_10(*args, **kwargs)

**Version**See Slice_10.

OnnxSlice_11

class skl2onnx.algebra.onnx_ops.OnnxSlice_11(*args, **kwargs)

**Version**See Slice_11.

OnnxSlice_13

class skl2onnx.algebra.onnx_ops.OnnxSlice_13(*args, **kwargs)

**Version**See Slice_13.

OnnxSoftmax

class skl2onnx.algebra.onnx_ops.OnnxSoftmax(*args, **kwargs)

**Version**See Softmax.

OnnxSoftmaxCrossEntropyLoss

class skl2onnx.algebra.onnx_ops.OnnxSoftmaxCrossEntropyLoss(*args, **kwargs)

**Version**See SoftmaxCrossEntropyLoss.

OnnxSoftmaxCrossEntropyLoss_12

class skl2onnx.algebra.onnx_ops.OnnxSoftmaxCrossEntropyLoss_12(*args, **kwargs)

**Version**See SoftmaxCrossEntropyLoss_12.

OnnxSoftmaxCrossEntropyLoss_13

class skl2onnx.algebra.onnx_ops.OnnxSoftmaxCrossEntropyLoss_13(*args, **kwargs)

**Version**See SoftmaxCrossEntropyLoss_13.

OnnxSoftmax_1

class skl2onnx.algebra.onnx_ops.OnnxSoftmax_1(*args, **kwargs)

**Version**See Softmax_1.

OnnxSoftmax_11

class skl2onnx.algebra.onnx_ops.OnnxSoftmax_11(*args, **kwargs)

**Version**See Softmax_11.

OnnxSoftmax_13

class skl2onnx.algebra.onnx_ops.OnnxSoftmax_13(*args, **kwargs)

**Version**See Softmax_13.

OnnxSoftplus

class skl2onnx.algebra.onnx_ops.OnnxSoftplus(*args, **kwargs)

**Version**See Softplus.

OnnxSoftplus_1

class skl2onnx.algebra.onnx_ops.OnnxSoftplus_1(*args, **kwargs)

**Version**See Softplus_1.

OnnxSoftplus_22

class skl2onnx.algebra.onnx_ops.OnnxSoftplus_22(*args, **kwargs)

**Version**See Softplus_22.

OnnxSoftsign

class skl2onnx.algebra.onnx_ops.OnnxSoftsign(*args, **kwargs)

**Version**See Softsign.

OnnxSoftsign_1

class skl2onnx.algebra.onnx_ops.OnnxSoftsign_1(*args, **kwargs)

**Version**See Softsign_1.

OnnxSoftsign_22

class skl2onnx.algebra.onnx_ops.OnnxSoftsign_22(*args, **kwargs)

**Version**See Softsign_22.

OnnxSpaceToDepth

class skl2onnx.algebra.onnx_ops.OnnxSpaceToDepth(*args, **kwargs)

**Version**See SpaceToDepth.

OnnxSpaceToDepth_1

class skl2onnx.algebra.onnx_ops.OnnxSpaceToDepth_1(*args, **kwargs)

**Version**See SpaceToDepth_1.

OnnxSpaceToDepth_13

class skl2onnx.algebra.onnx_ops.OnnxSpaceToDepth_13(*args, **kwargs)

**Version**See SpaceToDepth_13.

OnnxSplit

class skl2onnx.algebra.onnx_ops.OnnxSplit(*args, **kwargs)

**Version**See Split.

OnnxSplitToSequence

class skl2onnx.algebra.onnx_ops.OnnxSplitToSequence(*args, **kwargs)

**Version**See SplitToSequence.

OnnxSplitToSequence_11

class skl2onnx.algebra.onnx_ops.OnnxSplitToSequence_11(*args, **kwargs)

**Version**See SplitToSequence_11.

OnnxSplit_1

class skl2onnx.algebra.onnx_ops.OnnxSplit_1(*args, **kwargs)

**Version**See Split_1.

OnnxSplit_11

class skl2onnx.algebra.onnx_ops.OnnxSplit_11(*args, **kwargs)

**Version**See Split_11.

OnnxSplit_13

class skl2onnx.algebra.onnx_ops.OnnxSplit_13(*args, **kwargs)

**Version**See Split_13.

OnnxSplit_18

class skl2onnx.algebra.onnx_ops.OnnxSplit_18(*args, **kwargs)

**Version**See Split_18.

OnnxSplit_2

class skl2onnx.algebra.onnx_ops.OnnxSplit_2(*args, **kwargs)

**Version**See Split_2.

OnnxSqrt

class skl2onnx.algebra.onnx_ops.OnnxSqrt(*args, **kwargs)

**Version**See Sqrt.

OnnxSqrt_1

class skl2onnx.algebra.onnx_ops.OnnxSqrt_1(*args, **kwargs)

**Version**See Sqrt_1.

OnnxSqrt_13

class skl2onnx.algebra.onnx_ops.OnnxSqrt_13(*args, **kwargs)

**Version**See Sqrt_13.

OnnxSqrt_6

class skl2onnx.algebra.onnx_ops.OnnxSqrt_6(*args, **kwargs)

**Version**See Sqrt_6.

OnnxSqueeze

class skl2onnx.algebra.onnx_ops.OnnxSqueeze(*args, **kwargs)

**Version**See Squeeze.

OnnxSqueeze_1

class skl2onnx.algebra.onnx_ops.OnnxSqueeze_1(*args, **kwargs)

**Version**See Squeeze_1.

OnnxSqueeze_11

class skl2onnx.algebra.onnx_ops.OnnxSqueeze_11(*args, **kwargs)

**Version**See Squeeze_11.

OnnxSqueeze_13

class skl2onnx.algebra.onnx_ops.OnnxSqueeze_13(*args, **kwargs)

**Version**See Squeeze_13.

OnnxSqueeze_21

class skl2onnx.algebra.onnx_ops.OnnxSqueeze_21(*args, **kwargs)

**Version**See Squeeze_21.

OnnxStringConcat

class skl2onnx.algebra.onnx_ops.OnnxStringConcat(*args, **kwargs)

**Version**See StringConcat.

OnnxStringConcat_20

class skl2onnx.algebra.onnx_ops.OnnxStringConcat_20(*args, **kwargs)

**Version**See StringConcat_20.

OnnxStringNormalizer

class skl2onnx.algebra.onnx_ops.OnnxStringNormalizer(*args, **kwargs)

**Version**See StringNormalizer.

OnnxStringNormalizer_10

class skl2onnx.algebra.onnx_ops.OnnxStringNormalizer_10(*args, **kwargs)

**Version**See StringNormalizer_10.

OnnxStringSplit

class skl2onnx.algebra.onnx_ops.OnnxStringSplit(*args, **kwargs)

**Version**See StringSplit.

OnnxStringSplit_20

class skl2onnx.algebra.onnx_ops.OnnxStringSplit_20(*args, **kwargs)

**Version**See StringSplit_20.

OnnxSub

class skl2onnx.algebra.onnx_ops.OnnxSub(*args, **kwargs)

**Version**See Sub.

OnnxSub_1

class skl2onnx.algebra.onnx_ops.OnnxSub_1(*args, **kwargs)

**Version**See Sub_1.

OnnxSub_13

class skl2onnx.algebra.onnx_ops.OnnxSub_13(*args, **kwargs)

**Version**See Sub_13.

OnnxSub_14

class skl2onnx.algebra.onnx_ops.OnnxSub_14(*args, **kwargs)

**Version**See Sub_14.

OnnxSub_6

class skl2onnx.algebra.onnx_ops.OnnxSub_6(*args, **kwargs)

**Version**See Sub_6.

OnnxSub_7

class skl2onnx.algebra.onnx_ops.OnnxSub_7(*args, **kwargs)

**Version**See Sub_7.

OnnxSum

class skl2onnx.algebra.onnx_ops.OnnxSum(*args, **kwargs)

**Version**See Sum.

OnnxSum_1

class skl2onnx.algebra.onnx_ops.OnnxSum_1(*args, **kwargs)

**Version**See Sum_1.

OnnxSum_13

class skl2onnx.algebra.onnx_ops.OnnxSum_13(*args, **kwargs)

**Version**See Sum_13.

OnnxSum_6

class skl2onnx.algebra.onnx_ops.OnnxSum_6(*args, **kwargs)

**Version**See Sum_6.

OnnxSum_8

class skl2onnx.algebra.onnx_ops.OnnxSum_8(*args, **kwargs)

**Version**See Sum_8.

OnnxTan

class skl2onnx.algebra.onnx_ops.OnnxTan(*args, **kwargs)

**Version**See Tan.

OnnxTan_22

class skl2onnx.algebra.onnx_ops.OnnxTan_22(*args, **kwargs)

**Version**See Tan_22.

OnnxTan_7

class skl2onnx.algebra.onnx_ops.OnnxTan_7(*args, **kwargs)

**Version**See Tan_7.

OnnxTanh

class skl2onnx.algebra.onnx_ops.OnnxTanh(*args, **kwargs)

**Version**See Tanh.

OnnxTanh_1

class skl2onnx.algebra.onnx_ops.OnnxTanh_1(*args, **kwargs)

**Version**See Tanh_1.

OnnxTanh_13

class skl2onnx.algebra.onnx_ops.OnnxTanh_13(*args, **kwargs)

**Version**See Tanh_13.

OnnxTanh_6

class skl2onnx.algebra.onnx_ops.OnnxTanh_6(*args, **kwargs)

**Version**See Tanh_6.

OnnxTfIdfVectorizer

class skl2onnx.algebra.onnx_ops.OnnxTfIdfVectorizer(*args, **kwargs)

**Version**See TfIdfVectorizer.

OnnxTfIdfVectorizer_9

class skl2onnx.algebra.onnx_ops.OnnxTfIdfVectorizer_9(*args, **kwargs)

**Version**See TfIdfVectorizer_9.

OnnxThresholdedRelu

class skl2onnx.algebra.onnx_ops.OnnxThresholdedRelu(*args, **kwargs)

**Version**See ThresholdedRelu.

OnnxThresholdedRelu_10

class skl2onnx.algebra.onnx_ops.OnnxThresholdedRelu_10(*args, **kwargs)

**Version**See ThresholdedRelu_10.

OnnxThresholdedRelu_22

class skl2onnx.algebra.onnx_ops.OnnxThresholdedRelu_22(*args, **kwargs)

**Version**See ThresholdedRelu_22.

OnnxTile

class skl2onnx.algebra.onnx_ops.OnnxTile(*args, **kwargs)

**Version**See Tile.

OnnxTile_1

class skl2onnx.algebra.onnx_ops.OnnxTile_1(*args, **kwargs)

**Version**See Tile_1.

OnnxTile_13

class skl2onnx.algebra.onnx_ops.OnnxTile_13(*args, **kwargs)

**Version**See Tile_13.

OnnxTile_6

class skl2onnx.algebra.onnx_ops.OnnxTile_6(*args, **kwargs)

**Version**See Tile_6.

OnnxTopK

class skl2onnx.algebra.onnx_ops.OnnxTopK(*args, **kwargs)

**Version**See TopK.

OnnxTopK_1

class skl2onnx.algebra.onnx_ops.OnnxTopK_1(*args, **kwargs)

**Version**See TopK_1.

OnnxTopK_10

class skl2onnx.algebra.onnx_ops.OnnxTopK_10(*args, **kwargs)

**Version**See TopK_10.

OnnxTopK_11

class skl2onnx.algebra.onnx_ops.OnnxTopK_11(*args, **kwargs)

**Version**See TopK_11.

OnnxTranspose

class skl2onnx.algebra.onnx_ops.OnnxTranspose(*args, **kwargs)

**Version**See Transpose.

OnnxTranspose_1

class skl2onnx.algebra.onnx_ops.OnnxTranspose_1(*args, **kwargs)

**Version**See Transpose_1.

OnnxTranspose_13

class skl2onnx.algebra.onnx_ops.OnnxTranspose_13(*args, **kwargs)

**Version**See Transpose_13.

OnnxTranspose_21

class skl2onnx.algebra.onnx_ops.OnnxTranspose_21(*args, **kwargs)

**Version**See Transpose_21.

OnnxTreeEnsemble

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsemble(*args, **kwargs)

**Version**See TreeEnsemble.

OnnxTreeEnsembleClassifier

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleClassifier(*args, **kwargs)

**Version**See TreeEnsembleClassifier.

OnnxTreeEnsembleClassifier_1

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleClassifier_1(*args, **kwargs)

**Version**See TreeEnsembleClassifier_1.

OnnxTreeEnsembleClassifier_3

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleClassifier_3(*args, **kwargs)

**Version**See TreeEnsembleClassifier_3.

OnnxTreeEnsembleClassifier_5

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleClassifier_5(*args, **kwargs)

**Version**See TreeEnsembleClassifier_5.

OnnxTreeEnsembleRegressor

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleRegressor(*args, **kwargs)

**Version**See TreeEnsembleRegressor.

OnnxTreeEnsembleRegressor_1

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleRegressor_1(*args, **kwargs)

**Version**See TreeEnsembleRegressor_1.

OnnxTreeEnsembleRegressor_3

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleRegressor_3(*args, **kwargs)

**Version**See TreeEnsembleRegressor_3.

OnnxTreeEnsembleRegressor_5

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleRegressor_5(*args, **kwargs)

**Version**See TreeEnsembleRegressor_5.

OnnxTreeEnsemble_5

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsemble_5(*args, **kwargs)

**Version**See TreeEnsemble_5.

OnnxTrilu

class skl2onnx.algebra.onnx_ops.OnnxTrilu(*args, **kwargs)

**Version**See Trilu.

OnnxTrilu_14

class skl2onnx.algebra.onnx_ops.OnnxTrilu_14(*args, **kwargs)

**Version**See Trilu_14.

OnnxUnique

class skl2onnx.algebra.onnx_ops.OnnxUnique(*args, **kwargs)

**Version**See Unique.

OnnxUnique_11

class skl2onnx.algebra.onnx_ops.OnnxUnique_11(*args, **kwargs)

**Version**See Unique_11.

OnnxUnsqueeze

class skl2onnx.algebra.onnx_ops.OnnxUnsqueeze(*args, **kwargs)

**Version**See Unsqueeze.

OnnxUnsqueeze_1

class skl2onnx.algebra.onnx_ops.OnnxUnsqueeze_1(*args, **kwargs)

**Version**See Unsqueeze_1.

OnnxUnsqueeze_11

class skl2onnx.algebra.onnx_ops.OnnxUnsqueeze_11(*args, **kwargs)

**Version**See Unsqueeze_11.

OnnxUnsqueeze_13

class skl2onnx.algebra.onnx_ops.OnnxUnsqueeze_13(*args, **kwargs)

**Version**See Unsqueeze_13.

OnnxUnsqueeze_21

class skl2onnx.algebra.onnx_ops.OnnxUnsqueeze_21(*args, **kwargs)

**Version**See Unsqueeze_21.

OnnxUpsample

class skl2onnx.algebra.onnx_ops.OnnxUpsample(*args, **kwargs)

**Version**See Upsample.

OnnxUpsample_10

class skl2onnx.algebra.onnx_ops.OnnxUpsample_10(*args, **kwargs)

**Version**See Upsample_10.

OnnxUpsample_7

class skl2onnx.algebra.onnx_ops.OnnxUpsample_7(*args, **kwargs)

**Version**See Upsample_7.

OnnxUpsample_9

class skl2onnx.algebra.onnx_ops.OnnxUpsample_9(*args, **kwargs)

**Version**See Upsample_9.

OnnxWhere

class skl2onnx.algebra.onnx_ops.OnnxWhere(*args, **kwargs)

**Version**See Where.

OnnxWhere_16

class skl2onnx.algebra.onnx_ops.OnnxWhere_16(*args, **kwargs)

**Version**See Where_16.

OnnxWhere_9

class skl2onnx.algebra.onnx_ops.OnnxWhere_9(*args, **kwargs)

**Version**See Where_9.

OnnxXor

class skl2onnx.algebra.onnx_ops.OnnxXor(*args, **kwargs)

**Version**See Xor.

OnnxXor_1

class skl2onnx.algebra.onnx_ops.OnnxXor_1(*args, **kwargs)

**Version**See Xor_1.

OnnxXor_7

class skl2onnx.algebra.onnx_ops.OnnxXor_7(*args, **kwargs)

**Version**See Xor_7.

OnnxZipMap

class skl2onnx.algebra.onnx_ops.OnnxZipMap(*args, **kwargs)

**Version**See ZipMap.

OnnxZipMap_1

class skl2onnx.algebra.onnx_ops.OnnxZipMap_1(*args, **kwargs)

**Version**See ZipMap_1.