ai.onnx.ml - FeatureVectorizer#

FeatureVectorizer - 1#

Version

  • name: FeatureVectorizer (GitHub)

  • domain: ai.onnx.ml

  • since_version: 1

  • function:

  • support_level: SupportType.COMMON

  • shape inference: False

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

Summary

Attributes

  • inputdimensions - INTS : The size of each input in the input list

Inputs

Between 1 and 2147483647 inputs.

  • X (variadic, heterogeneous) - T1:

Outputs

  • Y (heterogeneous) - tensor(float):

Type Constraints

  • T1 in ( tensor(double), tensor(float), tensor(int32), tensor(int64) ): The input type must be a tensor of a numeric type.

Examples