module onnxrt.ops_cpu.op_scaler#

Inheritance diagram of mlprodict.onnxrt.ops_cpu.op_scaler

Short summary#

module mlprodict.onnxrt.ops_cpu.op_scaler

Runtime operator.

source on GitHub

Classes#

class

truncated documentation

Scaler

Scaler (ai.onnx.ml) =================== Rescale input data, for example to standardize features by removing the mean and …

Properties#

property

truncated documentation

args_default

Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …

args_default_modified

Returns the list of modified parameters.

args_mandatory

Returns the list of optional arguments.

args_optional

Returns the list of optional arguments.

atts_value

Returns all parameters in a dictionary.

Methods#

method

truncated documentation

__init__

_run

_run_inplace

_run_no_checks_

Documentation#

Runtime operator.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_scaler.Scaler(ai.onnx.ml)#

Bases: OpRunUnary

Rescale input data, for example to standardize features by removing the mean and scaling to unit variance.

Attributes

  • offset: First, offset by this. Can be length of features in an [N,F] tensor or length 1, in which case it applies to all features, regardless of dimension count. default value cannot be automatically retrieved (FLOATS)

  • scale: Second, multiply by this. Can be length of features in an [N,F] tensor or length 1, in which case it applies to all features, regardless of dimension count. Must be same length as ‘offset’ default value cannot be automatically retrieved (FLOATS)

Inputs

  • X (heterogeneous)T: Data to be scaled.

Outputs

  • Y (heterogeneous)tensor(float): Scaled output data.

Type Constraints

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

Version

Onnx name: Scaler

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

Runtime implementation: Scaler

__init__(onnx_node, desc=None, **options)#
_run(x, attributes=None, verbose=0, fLOG=None)#

Should be overwritten.

source on GitHub

_run_inplace(x)#
_run_no_checks_(x, verbose=0, fLOG=None)#