ai.onnx.ml - CategoryMapper

CategoryMapper - 1 (ai.onnx.ml)

Version

• name: CategoryMapper (GitHub)

• domain: ai.onnx.ml

• since_version: 1

• function: False

• support_level: SupportType.COMMON

• shape inference: True

This version of the operator has been available since version 1 of domain ai.onnx.ml.

Summary

Converts strings to integers and vice versa.<br> Two sequences of equal length are used to map between integers and strings, with strings and integers at the same index detailing the mapping.<br> Each operator converts either integers to strings or strings to integers, depending on which default value attribute is provided. Only one default value attribute should be defined.<br> If the string default value is set, it will convert integers to strings. If the int default value is set, it will convert strings to integers.

Attributes

• cats_int64s - INTS :

  The integers of the map. This sequence must be the same length as the ‘cats_strings’ sequence.

• cats_strings - STRINGS :

  The strings of the map. This sequence must be the same length as the ‘cats_int64s’ sequence

• default_int64 - INT (default is '-1'):

  An integer to use when an input string value is not found in the map.<br>One and only one of the ‘default_*’ attributes must be defined.

• default_string - STRING (default is '_Unused'):

  A string to use when an input integer value is not found in the map.<br>One and only one of the ‘default_*’ attributes must be defined.

Inputs

• X (heterogeneous) - T1:

  Input data

Outputs

• Y (heterogeneous) - T2:

  Output data. If strings are input, the output values are integers, and vice versa.

Type Constraints

• T1 in ( tensor(int64), tensor(string) ):

  The input must be a tensor of strings or integers, either [N,C] or [C].

• T2 in ( tensor(int64), tensor(string) ):

  The output is a tensor of strings or integers. Its shape will be the same as the input shape.