Methods

Summary

method

class parent

truncated documentation

__add__

DimensionObject

usual

__contains__

ZipMapDictionary

__eq__

DimensionObject

usual

__eq__

ShapeObject

Tests equality between two shapes.

__eq__

ShapeObjectFct

Tests equality between two shapes.

__getitem__

OnnxInference

Returns the ONNX verions of a node.

__getitem__

ArrayZipMapDictionary

__getitem__

ZipMapDictionary

Returns the item mapped to keys.

__getitem__

ShapeObject

Extracts a specific dimension.

__getitem__

ShapeObjectFct

Extracts a specific dimension.

__getstate__

OnnxInference

To pickle the object.

__getstate__

ZipMapDictionary

For pickle.

__gt__

DimensionObject

usual

__gt__

ShapeObject

Compares shapes. Operator >.

__gt__

ShapeObjectFct

Compares shapes. Operator >.

__init__

MLAction

__init__

MLActionBinary

__init__

MLActionCast

__init__

MLActionConcat

__init__

MLActionCst

__init__

MLActionFunction

__init__

MLActionFunctionCall

__init__

MLActionIfElse

__init__

MLActionReturn

__init__

MLActionUnary

__init__

MLActionVar

__init__

MLActionAdd

__init__

MLActionSign

__init__

MLActionTestEqual

__init__

MLActionTestInf

__init__

MLActionTensorAdd

__init__

MLActionTensorDiv

__init__

MLActionTensorDot

__init__

MLActionTensorMul

__init__

MLActionTensorSub

__init__

MLActionTensorTake

__init__

MLActionTensorVector

__init__

MLModel

__init__

MLNumTypeBool

__init__

MLNumTypeFloat32

__init__

MLNumTypeFloat64

__init__

MLNumTypeInt32

__init__

MLNumTypeInt64

__init__

MLNumTypeSingle

__init__

MLTensor

__init__

OnnxTokenizer_1

__init__

OnnxTokenizer_1

__init__

MockWrappedLightGbmBoosterClassifier

__init__

WrappedLightGbmBooster

__init__

WrappedLightGbmBoosterClassifier

__init__

CustomScorerTransform

__init__

CodeNodeVisitor

__init__

CodeTranslator

__init__

OnnxTranslator

__init__

NewOperatorSchema

__init__

OnnxInference

__init__

OnnxInferenceExport

__init__

OnnxInferenceNode

__init__

OperatorSchema

__init__

OpRun

__init__

OpRunArg

__init__

OpRunBinary

__init__

OpRunBinaryNum

__init__

OpRunBinaryNumpy

__init__

OpRunClassifierProb

__init__

OpRunCustom

__init__

OpRunReduceNumpy

__init__

OpRunUnary

__init__

OpRunUnaryNum

__init__

Abs

__init__

Add

constructor

__init__

And

__init__

ArgMax_11

__init__

ArgMax_12

__init__

ArgMax_12

__init__

_ArgMax

__init__

ArgMin_11

__init__

ArgMin_12

__init__

ArgMin_12

__init__

_ArgMin

__init__

ArrayFeatureExtractor

__init__

Atan

__init__

BatchNormalization

__init__

Binarizer

__init__

Cast

__init__

CDist

__init__

CDistSchema

__init__

Ceil

__init__

Celu

__init__

Clip_11

__init__

Clip_11

__init__

Clip_6

__init__

Concat

__init__

Constant_11

__init__

Constant_12

__init__

Constant_12

__init__

Constant_9

__init__

ConstantOfShape

__init__

Conv

__init__

ConvTranspose

__init__

CumSum

__init__

DequantizeLinear

__init__

DictVectorizer

__init__

Div

__init__

DropoutBase

__init__

Dropout_12

__init__

Dropout_12

__init__

Dropout_7

__init__

Einsum

__init__

Equal

__init__

Erf

__init__

Exp

__init__

EyeLike

__init__

FeatureVectorizer

__init__

Flatten

__init__

Floor

__init__

Gather

__init__

GatherElements

__init__

Gemm

__init__

GlobalAveragePool

__init__

Greater

__init__

GreaterOrEqual

__init__

Identity

__init__

If

__init__

Imputer

__init__

IsNaN

__init__

LabelEncoder

__init__

Less

__init__

LessOrEqual

__init__

LinearClassifier

__init__

LinearRegressor

__init__

Log

__init__

Loop

__init__

LpNormalization

__init__

MatMul

__init__

Max

__init__

MaxPool

__init__

Mean

__init__

Min

__init__

Mul

__init__

Neg

__init__

Normalizer

__init__

Not

__init__

OneHotEncoder

__init__

Or

__init__

Pad

__init__

Pow

__init__

QuantizeLinear

__init__

Reciprocal

__init__

ReduceLogSumExp

__init__

ReduceMax

__init__

ReduceMean

__init__

ReduceMin

__init__

ReduceProd

__init__

ReduceSum_1

__init__

ReduceSum_11

__init__

ReduceSum_13

__init__

ReduceSum_13

__init__

ReduceSumSquare

__init__

Relu

__init__

Reshape

__init__

RNN

__init__

Scaler

__init__

Scan

__init__

Shape

__init__

Sigmoid

__init__

Sign

__init__

Sin

__init__

Slice

__init__

Softmax

__init__

Solve

__init__

SolveSchema

__init__

Split

__init__

Sqrt

__init__

Squeeze

__init__

StringNormalizer

__init__

Sub

__init__

Sum

__init__

SVMClassifier

__init__

SVMClassifierCommon

__init__

SVMClassifierDouble

__init__

SVMClassifierDoubleSchema

__init__

SVMRegressor

__init__

SVMRegressorCommon

__init__

SVMRegressorDouble

__init__

SVMRegressorDoubleSchema

__init__

TfIdfVectorizer

__init__

Tokenizer

__init__

TokenizerSchema

__init__

TopK_1

__init__

TopK_10

__init__

TopK_11

__init__

TopK_11

__init__

_CommonTopK

__init__

Transpose

__init__

TreeEnsembleClassifier

__init__

TreeEnsembleClassifierCommon

__init__

TreeEnsembleClassifierDouble

__init__

TreeEnsembleClassifierDoubleSchema

__init__

TreeEnsembleRegressor

__init__

TreeEnsembleRegressorCommon

__init__

TreeEnsembleRegressorDouble

__init__

TreeEnsembleRegressorDoubleSchema

__init__

Unsqueeze

__init__

Where

__init__

ArrayZipMapDictionary

__init__

ZipMap

__init__

ZipMapDictionary

__init__

OpRunOnnxRuntime

__init__

OnnxWholeSession

__init__

DimensionObject

__init__

ShapeBinaryFctOperator

__init__

ShapeBinaryOperator

__init__

ShapeObject

__init__

ShapeObjectFct

__init__

ShapeOperator

__init__

ShapeOperatorAdd

__init__

ShapeOperatorGreater

__init__

ShapeOperatorMax

__init__

ShapeOperatorMul

__init__

SimplifiedOnnxInference

__init__

RuntimeBadResultsError

__init__

OnnxPipeline

__init__

OnnxTransformer

__init__

InferenceSession2

Overwrites the constructor.

__init__

MockVariableName

__init__

MockVariableNameShape

__init__

MockVariableNameShapeType

__init__

CodeNodeVisitor

__iter__

ArrayZipMapDictionary

__iter__

ZipMapDictionary

__iter__

ShapeObject

Iterators over dimensions.

__iter__

ShapeObjectFct

Iterators over dimensions.

__len__

ArrayZipMapDictionary

__len__

ZipMapDictionary

Returns the number of items.

__len__

ShapeObject

Returns the number of dimensions.

__len__

ShapeObjectFct

Returns the number of dimensions.

__mul__

DimensionObject

usual

__repr__

CustomScorerTransform

__repr__

OnnxInference

usual

__repr__

OnnxInferenceNode

usual

__repr__

DimensionObject

usual

__repr__

ShapeBinaryFctOperator

usual

__repr__

ShapeBinaryOperator

usual

__repr__

ShapeObject

usual

__repr__

ShapeObjectFct

usual

__repr__

ShapeOperator

usual

__repr__

ShapeOperatorAdd

Displays a string.

__repr__

ShapeOperatorGreater

Displays a string.

__repr__

ShapeOperatorMax

Displays a string.

__repr__

ShapeOperatorMul

Displays a string.

__repr__

OnnxTransformer

usual

__setitem__

ArrayZipMapDictionary

__setitem__

ZipMapDictionary

unused but used by pickle

__setitem__

ShapeObject

Changes a specific dimension.

__setitem__

ShapeObjectFct

Changes a specific dimension.

__setstate__

OnnxInference

To unpickle the object.

__setstate__

ZipMapDictionary

For pickle.

__str__

OnnxInference

usual

__str__

OnnxInferenceNode

usual

__str__

OpRun

usual

__str__

OpRunArg

usual

__str__

OpRunBinary

usual

__str__

OpRunBinaryNum

usual

__str__

OpRunBinaryNumpy

usual

__str__

OpRunClassifierProb

usual

__str__

OpRunCustom

usual

__str__

OpRunReduceNumpy

usual

__str__

OpRunUnary

usual

__str__

OpRunUnaryNum

usual

__str__

ArrayZipMapDictionary

__str__

ZipMapDictionary

_build_compile_run

OnnxInference

Rewrite the run function in python, compiles it, and adds it as a method.

_byref_c

MLNumTypeBool

_byref_c

MLNumTypeFloat32

_byref_c

MLNumTypeFloat64

_byref_c

MLNumTypeInt32

_byref_c

MLNumTypeInt64

_byref_c

MLNumTypeSingle

_byref_c

MLTensor

_check_arrays

OnnxTransformer

Ensures that double floats are converted into single floats if enforce_float32 is True or raises an exception. …

_common_run

TopK_1

Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …

_common_run

TopK_10

Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …

_common_run

TopK_11

Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …

_common_run

TopK_11

Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …

_common_run

_CommonTopK

Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …

_common_run_shape

Scan

_copy_c

MLNumType

_copy_c

MLNumTypeBool

_copy_c

MLNumTypeFloat32

_copy_c

MLNumTypeFloat64

_copy_c

MLNumTypeInt32

_copy_c

MLNumTypeInt64

_copy_c

MLNumTypeSingle

_copy_c

MLTensor

_create_model

_CommonAsvSklBenchmark

_create_model

_CommonAsvSklBenchmarkClassifier

_create_model

_CommonAsvSklBenchmarkClassifierRawScore

_create_model

_CommonAsvSklBenchmarkClustering

_create_model

_CommonAsvSklBenchmarkMultiClassifier

_create_model

_CommonAsvSklBenchmarkOutlier

_create_model

_CommonAsvSklBenchmarkRegressor

_create_model

_CommonAsvSklBenchmarkTrainableTransform

_create_model

_CommonAsvSklBenchmarkTransform

_create_model

_CommonAsvSklBenchmarkTransformPositive

_create_model

TemplateBenchmarkClassifier

_create_model

TemplateBenchmarkClassifierRawScore

_create_model

TemplateBenchmarkClustering

_create_model

TemplateBenchmarkMultiClassifier

_create_model

TemplateBenchmarkOutlier

_create_model

TemplateBenchmarkRegressor

_create_model

TemplateBenchmarkTrainableTransform

_create_model

TemplateBenchmarkTransform

_create_model

TemplateBenchmarkTransformPositive

_create_onnx_and_runtime

_CommonAsvSklBenchmark

_create_onnx_and_runtime

_CommonAsvSklBenchmarkClassifier

_create_onnx_and_runtime

_CommonAsvSklBenchmarkClassifierRawScore

_create_onnx_and_runtime

_CommonAsvSklBenchmarkClustering

_create_onnx_and_runtime

_CommonAsvSklBenchmarkMultiClassifier

_create_onnx_and_runtime

_CommonAsvSklBenchmarkOutlier

_create_onnx_and_runtime

_CommonAsvSklBenchmarkRegressor

_create_onnx_and_runtime

_CommonAsvSklBenchmarkTrainableTransform

_create_onnx_and_runtime

_CommonAsvSklBenchmarkTransform

_create_onnx_and_runtime

_CommonAsvSklBenchmarkTransformPositive

_create_onnx_inference

_CommonAsvSklBenchmark

_create_onnx_inference

_CommonAsvSklBenchmarkClassifier

_create_onnx_inference

_CommonAsvSklBenchmarkClassifierRawScore

_create_onnx_inference

_CommonAsvSklBenchmarkClustering

_create_onnx_inference

_CommonAsvSklBenchmarkMultiClassifier

_create_onnx_inference

_CommonAsvSklBenchmarkOutlier

_create_onnx_inference

_CommonAsvSklBenchmarkRegressor

_create_onnx_inference

_CommonAsvSklBenchmarkTrainableTransform

_create_onnx_inference

_CommonAsvSklBenchmarkTransform

_create_onnx_inference

_CommonAsvSklBenchmarkTransformPositive

_evaluate_string_

ShapeBinaryFctOperator

Evalutes the operator assuming some of them are still strings.

_evaluate_string_

ShapeBinaryOperator

Evalutes the operator assuming some of them are still strings.

_evaluate_string_

ShapeOperator

Evalutes the operator assuming some of them are still strings.

_evaluate_string_

ShapeOperatorAdd

Evalutes the operator assuming some of them are still strings.

_evaluate_string_

ShapeOperatorGreater

Evalutes the operator assuming some of them are still strings.

_evaluate_string_

ShapeOperatorMax

Evalutes the operator assuming some of them are still strings.

_evaluate_string_

ShapeOperatorMul

Evalutes the operator assuming some of them are still strings.

_export_c

MLNumTypeBool

_export_c

MLNumTypeFloat32

_export_c

MLNumTypeFloat64

_export_c

MLNumTypeInt32

_export_c

MLNumTypeInt64

_export_c

MLNumTypeSingle

_export_c

MLTensor

_export_common_c

MLNumTypeBool

_export_common_c

MLNumTypeFloat32

_export_common_c

MLNumTypeFloat64

_export_common_c

MLNumTypeInt32

_export_common_c

MLNumTypeInt64

_export_common_c

MLNumTypeSingle

_export_json

MLNumTypeBool

_export_json

MLNumTypeFloat32

_export_json

MLNumTypeFloat64

_export_json

MLNumTypeInt32

_export_json

MLNumTypeInt64

_export_json

MLNumTypeSingle

_export_json

MLTensor

_f_tanh

RNN

_find_custom_operator_schema

OpRun

_find_custom_operator_schema

OpRunArg

_find_custom_operator_schema

OpRunBinary

_find_custom_operator_schema

OpRunBinaryNum

_find_custom_operator_schema

OpRunBinaryNumpy

_find_custom_operator_schema

OpRunClassifierProb

_find_custom_operator_schema

OpRunCustom

Finds a custom operator defined by this runtime.

_find_custom_operator_schema

OpRunReduceNumpy

_find_custom_operator_schema

OpRunUnary

_find_custom_operator_schema

OpRunUnaryNum

_find_custom_operator_schema

CDist

_find_custom_operator_schema

Solve

_find_custom_operator_schema

SVMClassifier

Finds a custom operator defined by this runtime.

_find_custom_operator_schema

SVMClassifierCommon

Finds a custom operator defined by this runtime.

_find_custom_operator_schema

SVMClassifierDouble

Finds a custom operator defined by this runtime.

_find_custom_operator_schema

SVMRegressor

Finds a custom operator defined by this runtime.

_find_custom_operator_schema

SVMRegressorCommon

Finds a custom operator defined by this runtime.

_find_custom_operator_schema

SVMRegressorDouble

Finds a custom operator defined by this runtime.

_find_custom_operator_schema

Tokenizer

_find_custom_operator_schema

TreeEnsembleClassifier

Finds a custom operator defined by this runtime.

_find_custom_operator_schema

TreeEnsembleClassifierCommon

Finds a custom operator defined by this runtime.

_find_custom_operator_schema

TreeEnsembleClassifierDouble

Finds a custom operator defined by this runtime.

_find_custom_operator_schema

TreeEnsembleRegressor

Finds a custom operator defined by this runtime.

_find_custom_operator_schema

TreeEnsembleRegressorCommon

Finds a custom operator defined by this runtime.

_find_custom_operator_schema

TreeEnsembleRegressorDouble

Finds a custom operator defined by this runtime.

_fit

OnnxPipeline

_fix_default_values

OnnxTranslator

Maps default values with parameter names.

_format_value_c

MLNumType

_format_value_c

MLNumTypeBool

_format_value_c

MLNumTypeFloat32

_format_value_c

MLNumTypeFloat64

_format_value_c

MLNumTypeInt32

_format_value_c

MLNumTypeInt64

_format_value_c

MLNumTypeSingle

_format_value_c

MLTensor

_format_value_json

MLNumType

_format_value_json

MLNumTypeBool

_format_value_json

MLNumTypeFloat32

_format_value_json

MLNumTypeFloat64

_format_value_json

MLNumTypeInt32

_format_value_json

MLNumTypeInt64

_format_value_json

MLNumTypeSingle

_format_value_json

MLTensor

_generate_classes

WrappedLightGbmBooster

_get_dataset

_CommonAsvSklBenchmark

_get_dataset

_CommonAsvSklBenchmarkClassifier

_get_dataset

_CommonAsvSklBenchmarkClassifierRawScore

_get_dataset

_CommonAsvSklBenchmarkClustering

_get_dataset

_CommonAsvSklBenchmarkMultiClassifier

_get_dataset

_CommonAsvSklBenchmarkOutlier

_get_dataset

_CommonAsvSklBenchmarkRegressor

_get_dataset

_CommonAsvSklBenchmarkTrainableTransform

_get_dataset

_CommonAsvSklBenchmarkTransform

_get_dataset

_CommonAsvSklBenchmarkTransformPositive

_get_last

OnnxTranslator

_get_typed_attributes

SVMClassifier

_get_typed_attributes

SVMClassifierCommon

_get_typed_attributes

SVMClassifierDouble

_get_typed_attributes

SVMRegressor

_get_typed_attributes

SVMRegressorCommon

_get_typed_attributes

SVMRegressorDouble

_get_typed_attributes

TreeEnsembleClassifier

_get_typed_attributes

TreeEnsembleClassifierCommon

_get_typed_attributes

TreeEnsembleClassifierDouble

_get_typed_attributes

TreeEnsembleRegressor

_get_typed_attributes

TreeEnsembleRegressorCommon

_get_typed_attributes

TreeEnsembleRegressorDouble

_get_xdtype

_CommonAsvSklBenchmark

_get_xdtype

_CommonAsvSklBenchmarkClassifier

_get_xdtype

_CommonAsvSklBenchmarkClassifierRawScore

_get_xdtype

_CommonAsvSklBenchmarkClustering

_get_xdtype

_CommonAsvSklBenchmarkMultiClassifier

_get_xdtype

_CommonAsvSklBenchmarkOutlier

_get_xdtype

_CommonAsvSklBenchmarkRegressor

_get_xdtype

_CommonAsvSklBenchmarkTrainableTransform

_get_xdtype

_CommonAsvSklBenchmarkTransform

_get_xdtype

_CommonAsvSklBenchmarkTransformPositive

_guess_inplace

OnnxInference

Looks into every node of the graph to see if there is a way to do the computation inplace. By default (input_inplace=False), …

_guess_input_dtype

OnnxInference

_guess_proto_type

OpRunOnnxRuntime

_infer_shapes

OpRun

Should be overwritten.

_infer_shapes

OpRunArg

Returns the same shape by default.

_infer_shapes

OpRunBinary

Returns the same shape by default. We assume the operator returns the biggest shapes as the operator could …

_infer_shapes

OpRunBinaryNum

Returns the same shape by default. We assume the operator returns the biggest shapes as the operator could …

_infer_shapes

OpRunBinaryNumpy

Returns the same shape by default. We assume the operator returns the biggest shapes as the operator could …

_infer_shapes

OpRunClassifierProb

Returns the same for the labels and the probabilities.

_infer_shapes

OpRunCustom

Should be overwritten.

_infer_shapes

OpRunReduceNumpy

Returns the same shape by default.

_infer_shapes

OpRunUnary

Returns the same shape by default.

_infer_shapes

OpRunUnaryNum

Returns the same shape by default.

_infer_shapes

ArrayFeatureExtractor

Should be overwritten.

_infer_shapes

BatchNormalization

_infer_shapes

Cast

_infer_shapes

CDist

Returns the same for the labels and the probabilities.

_infer_shapes

Concat

_infer_shapes

Constant_11

_infer_shapes

Constant_12

_infer_shapes

Constant_12

_infer_shapes

Constant_9

_infer_shapes

ConstantOfShape

_infer_shapes

Conv

_infer_shapes

ConvTranspose

_infer_shapes

CumSum

_infer_shapes

DequantizeLinear

_infer_shapes

DictVectorizer

_infer_shapes

DropoutBase

_infer_shapes

Dropout_12

_infer_shapes

Dropout_12

_infer_shapes

Dropout_7

_infer_shapes

Einsum

_infer_shapes

EyeLike

_infer_shapes

FeatureVectorizer

_infer_shapes

Gather

Returns the same shape by default.

_infer_shapes

GatherElements

_infer_shapes

Gemm

_infer_shapes

GlobalAveragePool

_infer_shapes

If

_infer_shapes

IsNaN

_infer_shapes

LabelEncoder

_infer_shapes

Loop

_infer_shapes

MaxPool

_infer_shapes

Mean

_infer_shapes

Not

_infer_shapes

OneHotEncoder

_infer_shapes

Pad

Returns an empty shape by default.

_infer_shapes

Pow

Returns the same shape by default.

_infer_shapes

QuantizeLinear

_infer_shapes

ReduceSum_13

Returns the same shape by default.

_infer_shapes

ReduceSum_13

Returns the same shape by default.

_infer_shapes

Reshape

_infer_shapes

RNN

_infer_shapes

Scaler

Returns the same shape by default.

_infer_shapes

Scan

_infer_shapes

Shape

Returns the same shape by default.

_infer_shapes

Slice

_infer_shapes

Solve

Returns the shapes.

_infer_shapes

Split

_infer_shapes

Squeeze

_infer_shapes

StringNormalizer

Returns the same shape by default.

_infer_shapes

Sum

_infer_shapes

TfIdfVectorizer

Returns the same shape by default.

_infer_shapes

Tokenizer

Returns the same shape by default.

_infer_shapes

TopK_1

_infer_shapes

TopK_10

_infer_shapes

TopK_11

_infer_shapes

TopK_11

_infer_shapes

_CommonTopK

_infer_shapes

Transpose

_infer_shapes

Unsqueeze

_infer_shapes

Where

Returns the same shape by default.

_infer_shapes

ZipMap

Returns the same shape by default.

_infer_type

Concat

_infer_type

Einsum

_init

OnnxInference

Prepares the instance to deliver predictions.

_init

OnnxInferenceNode

Prepares the node.

_init

Conv

_init

ConvTranspose

_init

MaxPool

_init

SVMClassifier

_init

SVMClassifierCommon

_init

SVMClassifierDouble

_init

SVMRegressor

_init

SVMRegressorCommon

_init

SVMRegressorDouble

_init

TreeEnsembleClassifier

_init

TreeEnsembleClassifierCommon

_init

TreeEnsembleClassifierDouble

_init

TreeEnsembleRegressor

_init

TreeEnsembleRegressorCommon

_init

TreeEnsembleRegressorDouble

_init

OpRunOnnxRuntime

Initializes the node.

_is_stacked

OnnxTranslator

_name

_CommonAsvSklBenchmark

_name

_CommonAsvSklBenchmarkClassifier

_name

_CommonAsvSklBenchmarkClassifierRawScore

_name

_CommonAsvSklBenchmarkClustering

_name

_CommonAsvSklBenchmarkMultiClassifier

_name

_CommonAsvSklBenchmarkOutlier

_name

_CommonAsvSklBenchmarkRegressor

_name

_CommonAsvSklBenchmarkTrainableTransform

_name

_CommonAsvSklBenchmarkTransform

_name

_CommonAsvSklBenchmarkTransformPositive

_name_mapping

OpRunOnnxRuntime

_optimize_onnx

_CommonAsvSklBenchmark

_optimize_onnx

_CommonAsvSklBenchmarkClassifier

_optimize_onnx

_CommonAsvSklBenchmarkClassifierRawScore

_optimize_onnx

_CommonAsvSklBenchmarkClustering

_optimize_onnx

_CommonAsvSklBenchmarkMultiClassifier

_optimize_onnx

_CommonAsvSklBenchmarkOutlier

_optimize_onnx

_CommonAsvSklBenchmarkRegressor

_optimize_onnx

_CommonAsvSklBenchmarkTrainableTransform

_optimize_onnx

_CommonAsvSklBenchmarkTransform

_optimize_onnx

_CommonAsvSklBenchmarkTransformPositive

_optional_parameters

MLActionConcat

Returns additional parameters to add the function call.

_optional_parameters

MLActionFunctionCall

Returns additional parameters to add the function call.

_optional_parameters

MLActionTensorAdd

_optional_parameters

MLActionTensorDiv

_optional_parameters

MLActionTensorDot

_optional_parameters

MLActionTensorMul

_optional_parameters

MLActionTensorSub

_optional_parameters

MLActionTensorTake

_optional_parameters

MLActionTensorVector

_post_process

OnnxTranslator

Simplifies some operator such as OnnxNeg(2).

_post_process_label_attributes

_ClassifierCommon

Replaces string labels by int64 labels. It creates attributes _classlabels_int64s_string.

_post_process_predicted_label

_ClassifierCommon

Replaces int64 predicted labels by the corresponding strings.

_preprocess

Concat

_preprocess

Einsum

_preprocess

FeatureVectorizer

_preprocess_options

OnnxPipeline

Preprocesses the options.

_private_run

DropoutBase

_private_run

Dropout_12

_private_run

Dropout_12

_private_run

Dropout_7

_remove_stopwords

StringNormalizer

_reset_cache

AutoAction

A same node may appear at different places in the graph. It means the output is used twice. However, we don’t want …

_run

OpRun

Should be overwritten.

_run

OpRunArg

Should be overwritten.

_run

OpRunBinary

Should be overwritten.

_run

OpRunBinaryNum

Should be overwritten.

_run

OpRunBinaryNumpy

_run

OpRunClassifierProb

Should be overwritten.

_run

OpRunCustom

Should be overwritten.

_run

OpRunReduceNumpy

Should be overwritten.

_run

OpRunUnary

Should be overwritten.

_run

OpRunUnaryNum

Should be overwritten.

_run

Abs

_run

And

_run

ArgMax_11

_run

ArgMax_12

_run

ArgMax_12

_run

_ArgMax

_run

ArgMin_11

_run

ArgMin_12

_run

ArgMin_12

_run

_ArgMin

_run

ArrayFeatureExtractor

Runtime for operator ArrayFeatureExtractor.

_run

Atan

_run

BatchNormalization

_run

Binarizer

_run

Cast

_run

CDist

_run

Ceil

_run

Celu

_run

Clip_11

_run

Clip_11

_run

Clip_6

_run

Concat

_run

Constant_11

_run

Constant_12

_run

Constant_12

_run

Constant_9

_run

ConstantOfShape

_run

Conv

_run

ConvTranspose

_run

CumSum

_run

DequantizeLinear

_run

DictVectorizer

_run

Div

_run

Dropout_12

_run

Dropout_12

_run

Dropout_7

_run

Einsum

_run

Equal

_run

Erf

_run

Exp

_run

EyeLike

_run

FeatureVectorizer

_run

Flatten

_run

Floor

_run

Gather

_run

GatherElements

_run

Gemm

_run

GlobalAveragePool

_run

Greater

_run

GreaterOrEqual

_run

Identity

_run

If

_run

Imputer

_run

IsNaN

_run

LabelEncoder

_run

Less

_run

LessOrEqual

_run

LinearClassifier

_run

LinearRegressor

_run

Log

_run

Loop

_run

LpNormalization

_run

MatMul

_run

MaxPool

_run

Mean

_run

Neg

_run

Normalizer

_run

Not

_run

OneHotEncoder

_run

Or

_run

Pad

_run

Pow

_run

QuantizeLinear

_run

Reciprocal

_run

ReduceLogSumExp

_run

ReduceMax

_run

ReduceMean

_run

ReduceMin

_run

ReduceProd

_run

ReduceSum_1

_run

ReduceSum_11

_run

ReduceSum_13

_run

ReduceSum_13

_run

ReduceSumSquare

_run

Relu

_run

Reshape

_run

RNN

_run

Scaler

_run

Scan

_run

Shape

_run

Sigmoid

_run

Sign

_run

Sin

_run

Slice

_run

Softmax

_run

Solve

_run

Split

_run

Sqrt

_run

Squeeze

_run

StringNormalizer

Normalizes strings.

_run

Sum

_run

SVMClassifier

This is a C++ implementation coming from onnxruntime. svm_classifier.cc. …

_run

SVMClassifierCommon

This is a C++ implementation coming from onnxruntime. svm_classifier.cc. …

_run

SVMClassifierDouble

This is a C++ implementation coming from onnxruntime. svm_classifier.cc. …

_run

SVMRegressor

This is a C++ implementation coming from onnxruntime. svm_regressor.cc. …

_run

SVMRegressorCommon

This is a C++ implementation coming from onnxruntime. svm_regressor.cc. …

_run

SVMRegressorDouble

This is a C++ implementation coming from onnxruntime. svm_regressor.cc. …

_run

TfIdfVectorizer

_run

Tokenizer

_run

TopK_1

Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …

_run

TopK_10

Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …

_run

TopK_11

Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …

_run

TopK_11

Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …

_run

Transpose

_run

TreeEnsembleClassifier

This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …

_run

TreeEnsembleClassifierCommon

This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …

_run

TreeEnsembleClassifierDouble

This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …

_run

TreeEnsembleRegressor

This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …

_run

TreeEnsembleRegressorCommon

This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …

_run

TreeEnsembleRegressorDouble

This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …

_run

Unsqueeze

_run

Where

_run

ZipMap

_run_char_tokenization

Tokenizer

Tokenizes y charaters.

_run_column

StringNormalizer

Normalizes string in a columns.

_run_inplace

Abs

_run_inplace

Atan

_run_inplace

Cast

_run_inplace

Ceil

_run_inplace

Celu

_run_inplace

Clip_11

_run_inplace

Clip_11

_run_inplace

Clip_6

_run_inplace

Erf

_run_inplace

Exp

_run_inplace

Floor

_run_inplace

Log

_run_inplace

LpNormalization

_run_inplace

Mean

_run_inplace

Reciprocal

_run_inplace

Relu

_run_inplace

Scaler

_run_inplace

Sign

_run_inplace

Sin

_run_inplace

Softmax

_run_inplace

Sqrt

_run_no_checks_

OpRunArg

_run_no_checks_

OpRunBinary

Calls method _run.

_run_no_checks_

OpRunBinaryNum

Calls method _run.

_run_no_checks_

OpRunBinaryNumpy

Calls method _run.

_run_no_checks_

OpRunClassifierProb

_run_no_checks_

OpRunReduceNumpy

_run_no_checks_

OpRunUnaryNum

_run_no_checks_

Scaler

_run_regex_tokenization

Tokenizer

Tokenizes using separators. The function should use a trie to find text.

_run_sep_tokenization

Tokenizer

Tokenizes using separators. The function should use a trie to find text.

_run_sequence_runtime

OnnxInference

_run_sequence_runtime_compiled

OnnxInference

Executes a compiled version of _run_sequence_runtime(), compiled with method _build_compile_run(). …

_run_tokenization

Tokenizer

Tokenizes a char level.

_run_whole_runtime

OnnxInference

_score_metric

_CommonAsvSklBenchmark

_score_metric

_CommonAsvSklBenchmarkClassifier

_score_metric

_CommonAsvSklBenchmarkClassifierRawScore

_score_metric

_CommonAsvSklBenchmarkClustering

_score_metric

_CommonAsvSklBenchmarkMultiClassifier

_score_metric

_CommonAsvSklBenchmarkOutlier

_score_metric

_CommonAsvSklBenchmarkRegressor

_score_metric

_CommonAsvSklBenchmarkTrainableTransform

_score_metric

_CommonAsvSklBenchmarkTransform

_score_metric

_CommonAsvSklBenchmarkTransformPositive

_set_shape_inference_runtime

OnnxInference

Set shapes based on shape inference relying on the runtime. The values are stored in every node.

_set_shape_inference_runtime

OnnxInferenceNode

Updates values which shapes of the outputs.

_step

RNN

_to_onnx

_CommonAsvSklBenchmark

_to_onnx

_CommonAsvSklBenchmarkClassifier

_to_onnx

_CommonAsvSklBenchmarkClassifierRawScore

_to_onnx

_CommonAsvSklBenchmarkClustering

_to_onnx

_CommonAsvSklBenchmarkMultiClassifier

_to_onnx

_CommonAsvSklBenchmarkOutlier

_to_onnx

_CommonAsvSklBenchmarkRegressor

_to_onnx

_CommonAsvSklBenchmarkTrainableTransform

_to_onnx

_CommonAsvSklBenchmarkTransform

_to_onnx

_CommonAsvSklBenchmarkTransformPositive

_to_onnx

OnnxPipeline

Converts a transformer into ONNX.

_to_python_numpy

OpRun

_to_python_numpy

OpRunArg

_to_python_numpy

OpRunBinary

_to_python_numpy

OpRunBinaryNum

_to_python_numpy

OpRunBinaryNumpy

_to_python_numpy

OpRunClassifierProb

_to_python_numpy

OpRunCustom

_to_python_numpy

OpRunReduceNumpy

_to_python_numpy

OpRunUnary

_to_python_numpy

OpRunUnaryNum

_to_string1

ShapeBinaryFctOperator

_to_string1

ShapeBinaryOperator

_to_string1

ShapeOperatorAdd

_to_string1

ShapeOperatorGreater

_to_string1

ShapeOperatorMax

_to_string1

ShapeOperatorMul

_to_string2

ShapeBinaryFctOperator

_to_string2

ShapeBinaryOperator

_to_string2

ShapeOperatorAdd

_to_string2

ShapeOperatorGreater

_to_string2

ShapeOperatorMax

_to_string2

ShapeOperatorMul

_to_string2b

ShapeBinaryFctOperator

_to_string2b

ShapeBinaryOperator

_to_string2b

ShapeOperatorAdd

_to_string2b

ShapeOperatorGreater

_to_string2b

ShapeOperatorMax

_to_string2b

ShapeOperatorMul

_to_string3

ShapeBinaryFctOperator

_to_string3

ShapeBinaryOperator

_to_string3

ShapeOperatorAdd

_to_string3

ShapeOperatorGreater

_to_string3

ShapeOperatorMax

_to_string3

ShapeOperatorMul

add_variable_to_clean

OnnxInferenceNode

Adds a variable which can be cleaned after the node execution.

append

ShapeObject

Appends a dimension.

append

ShapeObjectFct

Appends a dimension.

asdict

ZipMapDictionary

broadcast

ShapeObject

Computes the shape after a broadcast.

broadcast

ShapeObjectFct

Computes the shape after a broadcast.

build_intermediate

OnnxInference

Builds every possible ONNX file which computes one specific intermediate output from the inputs. …

cast

MLNumType

Converts value into this type.

cast

MLNumTypeBool

Exports value into this type.

cast

MLNumTypeFloat32

Exports value into this type.

cast

MLNumTypeFloat64

Exports value into this type.

cast

MLNumTypeInt32

Exports value into this type.

cast

MLNumTypeInt64

Exports value into this type.

cast

MLNumTypeSingle

Exports value into this type.

cast

MLTensor

Converts value into this type.

cast

MLType

Converts value into this type.

check_method_name

_CommonAsvSklBenchmark

Does some verifications. Fails if inconsistencies.

check_method_name

_CommonAsvSklBenchmarkClassifier

Does some verifications. Fails if inconsistencies.

check_method_name

_CommonAsvSklBenchmarkClassifierRawScore

Does some verifications. Fails if inconsistencies.

check_method_name

_CommonAsvSklBenchmarkClustering

Does some verifications. Fails if inconsistencies.

check_method_name

_CommonAsvSklBenchmarkMultiClassifier

Does some verifications. Fails if inconsistencies.

check_method_name

_CommonAsvSklBenchmarkOutlier

Does some verifications. Fails if inconsistencies.

check_method_name

_CommonAsvSklBenchmarkRegressor

Does some verifications. Fails if inconsistencies.

check_method_name

_CommonAsvSklBenchmarkTrainableTransform

Does some verifications. Fails if inconsistencies.

check_method_name

_CommonAsvSklBenchmarkTransform

Does some verifications. Fails if inconsistencies.

check_method_name

_CommonAsvSklBenchmarkTransformPositive

Does some verifications. Fails if inconsistencies.

check_model

OnnxInference

Checks the model follow ONNX conventions.

choose_act

RNN

concat_columns

ShapeObject

Concatenates columns from shapes to this one along one axis.

concat_columns

ShapeObjectFct

Concatenates columns from shapes to this one along one axis.

copy

ShapeObject

A copy not a deepcopy.

copy

ShapeObjectFct

A copy not a deepcopy.

default

_MyEncoder

depart

CodeTranslator

Leaves a node.

depart

OnnxTranslator

Visits a node.

display_sequence

OnnxInference

Shows the sequence of nodes to run if runtime=='python'.

drop_axis

ShapeObject

Drops an axis.

drop_axis

ShapeObjectFct

Drops an axis.

dump_model

MockWrappedLightGbmBoosterClassifier

mock dump_model method

enable_inplace_compute

OnnxInferenceNode

Let the node know that one input can be overwritten.

enable_inplace_compute

OpRun

Tells the node that one input can be overwritten.

enable_inplace_compute

OpRunArg

Tells the node that one input can be overwritten.

enable_inplace_compute

OpRunBinary

Tells the node that one input can be overwritten.

enable_inplace_compute

OpRunBinaryNum

Tells the node that one input can be overwritten.

enable_inplace_compute

OpRunBinaryNumpy

Tells the node that one input can be overwritten.

enable_inplace_compute

OpRunClassifierProb

Tells the node that one input can be overwritten.

enable_inplace_compute

OpRunCustom

Tells the node that one input can be overwritten.

enable_inplace_compute

OpRunReduceNumpy

Tells the node that one input can be overwritten.

enable_inplace_compute

OpRunUnary

Tells the node that one input can be overwritten.

enable_inplace_compute

OpRunUnaryNum

Tells the node that one input can be overwritten.

enumerate_variables

MLAction

Enumerates all variables.

enumerate_variables

MLActionBinary

Enumerates all variables.

enumerate_variables

MLActionCast

Enumerates all variables.

enumerate_variables

MLActionConcat

Enumerates all variables.

enumerate_variables

MLActionCst

Enumerates all variables.

enumerate_variables

MLActionFunction

Enumerates all variables.

enumerate_variables

MLActionFunctionCall

Enumerates all variables.

enumerate_variables

MLActionIfElse

Enumerates all variables.

enumerate_variables

MLActionReturn

Enumerates all variables.

enumerate_variables

MLActionUnary

Enumerates all variables.

enumerate_variables

MLActionVar

Enumerates itself.

evaluate

BaseDimensionShape

Evaluates the object, reduces the expression to a number or a string.

evaluate

DimensionObject

Evalutes the dimension.

evaluate

ShapeBinaryFctOperator

Evalutes the operator.

evaluate

ShapeBinaryOperator

Evalutes the operator.

evaluate

ShapeObject

Evaluates the shape.

evaluate

ShapeObjectFct

Evaluates the shape.

evaluate

ShapeOperator

Evalutes the operator.

evaluate

ShapeOperatorAdd

Evalutes the operator.

evaluate

ShapeOperatorGreater

Evalutes the operator.

evaluate

ShapeOperatorMax

Evalutes the operator.

evaluate

ShapeOperatorMul

Evalutes the operator.

execute

MLAction

Computes the action. Returns the output.

execute

MLActionBinary

Computes the action. Returns the output.

execute

MLActionCast

execute

MLActionConcat

Concatenation

execute

MLActionCst

execute

MLActionFunction

execute

MLActionFunctionCall

Computes the action. Returns the output.

execute

MLActionIfElse

execute

MLActionReturn

execute

MLActionUnary

Computes the action. Returns the output.

execute

MLActionVar

execute

MLActionAdd

execute

MLActionSign

execute

MLActionTestEqual

execute

MLActionTestInf

execute

MLActionTensorAdd

Addition

execute

MLActionTensorDiv

Addition

execute

MLActionTensorDot

Addition

execute

MLActionTensorMul

Addition

execute

MLActionTensorSub

Addition

execute

MLActionTensorTake

Addition

execute

MLActionTensorVector

Addition

export

AutoAction

Exports into any format. The method is looking for one method call ‘_export_<lang>’ and calls it if found. …

export

CodeNodeVisitor

Calls method export from the translator class.

export

CodeTranslator

Exports the parsed python code into something.

export

OnnxTranslator

Returns an ONNX graph or a piece of code which could generate the graph.

fit

OnnxPipeline

Fits the model, fits all the transforms one after the other and transform the data, then fit the transformed …

fit

OnnxTransformer

Loads the ONNX model.

fit_transform

OnnxTransformer

Loads the ONNX model and runs the predictions.

format_value

AutoType

Exports into any format. The method is looking for one method call ‘_export_<lang>’ and calls it if found. …

generic_visit

CodeNodeVisitor

Overrides generic_visit to check it is not used.

generic_visit

CodeNodeVisitor

Overrides generic_visit to check it is not used.

generic_visit_args

CodeNodeVisitor

Overrides generic_visit to keep track of the indentation and the node parent. The function will add field …

generic_visit_args

CodeNodeVisitor

Overrides generic_visit to keep track of the indentation and the node parent. The function will add field …

get_inputs

InferenceSession2

Overwrites method get_inputs.

get_inputs

OnnxInference2

onnxruntime API

get_outputs

InferenceSession2

Overwrites method get_outputs.

get_outputs

OnnxInference2

onnxruntime API

global_index

OnnxInference

Maps every name to one integer to avoid using dictionaries when running the predictions.

graph_execution

MLAction

Returns a formated string which retruns the outputs.

graph_execution

MLActionBinary

Returns a formated string which retruns the outputs.

graph_execution

MLActionCast

Returns a formated string which retruns the outputs.

graph_execution

MLActionConcat

Returns a formated string which retruns the outputs.

graph_execution

MLActionCst

graph_execution

MLActionFunction

Returns a formated string which retruns the outputs.

graph_execution

MLActionFunctionCall

Returns a formated string which retruns the outputs.

graph_execution

MLActionIfElse

Returns a formated string which retruns the outputs.

graph_execution

MLActionReturn

Returns a formated string which retruns the outputs.

graph_execution

MLActionUnary

Returns a formated string which retruns the outputs.

graph_execution

MLActionVar

infer_shapes

OpRun

Infer shapes of the output given the shapes of the input. It works the same way as method run.

infer_shapes

OpRunArg

infer_shapes

OpRunBinary

Infer shapes of the output given the shapes of the input. It works the same way as method run.

infer_shapes

OpRunBinaryNum

Infer shapes of the output given the shapes of the input. It works the same way as method run.

infer_shapes

OpRunBinaryNumpy

Infer shapes of the output given the shapes of the input. It works the same way as method run.

infer_shapes

OpRunClassifierProb

infer_shapes

OpRunCustom

Infer shapes of the output given the shapes of the input. It works the same way as method run.

infer_shapes

OpRunReduceNumpy

infer_shapes

OpRunUnary

infer_shapes

OpRunUnaryNum

infer_shapes

Clip_11

infer_shapes

Clip_11

infer_shapes

ReduceSum_13

infer_shapes

ReduceSum_13

insert

ShapeObject

Inserts a dimension at position pos.

insert

ShapeObjectFct

Inserts a dimension at position pos.

items

ZipMapDictionary

keys

ZipMapDictionary

make_msg

CodeNodeVisitor

Displays line and column information into a string.

make_msg

OnnxTranslator

Make a message with line and column information.

onnx_converter

OnnxTransformer

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

onnx_parser

OnnxTransformer

Returns a parser for this model.

onnx_shape_calculator

OnnxTransformer

onnxview

OnnxNotebook

Defines %onnxview which displays an ONNX graph.

peakmem_predict

_CommonAsvSklBenchmark

asv API

peakmem_predict

_CommonAsvSklBenchmarkClassifier

asv API

peakmem_predict

_CommonAsvSklBenchmarkClassifierRawScore

asv API

peakmem_predict

_CommonAsvSklBenchmarkClustering

asv API

peakmem_predict

_CommonAsvSklBenchmarkMultiClassifier

asv API

peakmem_predict

_CommonAsvSklBenchmarkOutlier

asv API

peakmem_predict

_CommonAsvSklBenchmarkRegressor

asv API

peakmem_predict

_CommonAsvSklBenchmarkTrainableTransform

asv API

peakmem_predict

_CommonAsvSklBenchmarkTransform

asv API

peakmem_predict

_CommonAsvSklBenchmarkTransformPositive

asv API

preprocess_parameters

OnnxInferenceNode

Preprocesses the parameters, loads GraphProto (equivalent to ONNX graph with less metadata). …

print_tree

CodeNodeVisitor

Displays the tree of instructions.

print_tree

CodeNodeVisitor

Displays the tree of instructions.

product

ShapeObject

Multiplies all the dimension.

product

ShapeObjectFct

Multiplies all the dimension.

push

CodeNodeVisitor

Pushes an element into a list.

push

CodeNodeVisitor

Pushes an element into a list.

reduce

ShapeObject

Reduces the matrix. Removes one dimension.

reduce

ShapeObjectFct

Reduces the matrix. Removes one dimension.

reduce_size

OnnxInference

Reduces the memory footprint as much as possible.

reshape

ShapeObject

Creates a new shape, checks the number of elements is the same.

reshape

ShapeObjectFct

Creates a new shape, checks the number of elements is the same.

run

OnnxInference

Computes the predictions for this onnx graph.

run

OnnxInferenceNode

Runs the node. the function updates values with outputs.

run

OpRun

Calls method _run.

run

OpRunArg

Calls method _run.

run

OpRunBinary

Calls method _run.

run

OpRunBinaryNum

Calls method _run.

run

OpRunBinaryNumpy

Calls method _run.

run

OpRunClassifierProb

Calls method _run.

run

OpRunCustom

Calls method _run.

run

OpRunReduceNumpy

Calls method _run.

run

OpRunUnary

Calls method _run.

run

OpRunUnaryNum

Calls method _run.

run

Clip_11

Calls method _run.

run

Clip_11

Calls method _run.

run

ReduceSum_13

Calls method _run.

run

ReduceSum_13

Calls method _run.

run

OpRunOnnxRuntime

Should be overwritten.

run

OnnxWholeSession

Computes the predictions.

run

SimplifiedOnnxInference

Calls InferenceSession.run.

run

InferenceSession2

Overwrites method run.

run

OnnxInference2

onnxruntime API

run_in_scan

OnnxInference2

Instance to run in operator scan.

runtime_name

_CommonAsvSklBenchmark

Returns the runtime shortname.

runtime_name

_CommonAsvSklBenchmarkClassifier

Returns the runtime shortname.

runtime_name

_CommonAsvSklBenchmarkClassifierRawScore

Returns the runtime shortname.

runtime_name

_CommonAsvSklBenchmarkClustering

Returns the runtime shortname.

runtime_name

_CommonAsvSklBenchmarkMultiClassifier

Returns the runtime shortname.

runtime_name

_CommonAsvSklBenchmarkOutlier

Returns the runtime shortname.

runtime_name

_CommonAsvSklBenchmarkRegressor

Returns the runtime shortname.

runtime_name

_CommonAsvSklBenchmarkTrainableTransform

Returns the runtime shortname.

runtime_name

_CommonAsvSklBenchmarkTransform

Returns the runtime shortname.

runtime_name

_CommonAsvSklBenchmarkTransformPositive

Returns the runtime shortname.

set_order

OnnxInferenceNode

Defines the order of execution.

setup

_CommonAsvSklBenchmark

asv API

setup

_CommonAsvSklBenchmarkClassifier

asv API

setup

_CommonAsvSklBenchmarkClassifierRawScore

asv API

setup

_CommonAsvSklBenchmarkClustering

asv API

setup

_CommonAsvSklBenchmarkMultiClassifier

asv API

setup

_CommonAsvSklBenchmarkOutlier

asv API

setup

_CommonAsvSklBenchmarkRegressor

asv API

setup

_CommonAsvSklBenchmarkTrainableTransform

asv API

setup

_CommonAsvSklBenchmarkTransform

asv API

setup

_CommonAsvSklBenchmarkTransformPositive

asv API

setup_cache

_CommonAsvSklBenchmark

asv API

setup_cache

_CommonAsvSklBenchmarkClassifier

asv API

setup_cache

_CommonAsvSklBenchmarkClassifierRawScore

asv API

setup_cache

_CommonAsvSklBenchmarkClustering

asv API

setup_cache

_CommonAsvSklBenchmarkMultiClassifier

asv API

setup_cache

_CommonAsvSklBenchmarkOutlier

asv API

setup_cache

_CommonAsvSklBenchmarkRegressor

asv API

setup_cache

_CommonAsvSklBenchmarkTrainableTransform

asv API

setup_cache

_CommonAsvSklBenchmarkTransform

asv API

setup_cache

_CommonAsvSklBenchmarkTransformPositive

asv API

setup_cache

TemplateBenchmarkClassifier

setup_cache

TemplateBenchmarkClassifierRawScore

setup_cache

TemplateBenchmarkClustering

setup_cache

TemplateBenchmarkMultiClassifier

setup_cache

TemplateBenchmarkOutlier

setup_cache

TemplateBenchmarkRegressor

setup_cache

TemplateBenchmarkTrainableTransform

setup_cache

TemplateBenchmarkTransform

setup_cache

TemplateBenchmarkTransformPositive

setup_runtime

OnnxInferenceNode

Loads runtime.

shape_inference

OnnxInference

Infers the shape of the outputs with onnx package.

softcast

MLNumTypeBool

Exports value into this type, does it anyway without verification.

softcast

MLNumTypeFloat32

Exports value into this type, does it anyway without verification.

softcast

MLNumTypeFloat64

Exports value into this type, does it anyway without verification.

softcast

MLNumTypeInt32

Exports value into this type, does it anyway without verification.

softcast

MLNumTypeInt64

Exports value into this type, does it anyway without verification.

softcast

MLNumTypeSingle

Exports value into this type, does it anyway without verification.

squeeze

ShapeObject

Removes one dimension.

squeeze

ShapeObjectFct

Removes one dimension.

strip_accents_unicode

StringNormalizer

Transforms accentuated unicode symbols into their simple counterpart. Source: sklearn/feature_extraction/text.py. …

switch_initializers_dtype

OnnxInference

Switches all initializers to numpy.float64. If model is None, a simple cast is done. Otherwise, the function …

switch_initializers_dtype

OnnxInferenceNode

Switches all initializers to numpy.float64. This only works if the runtime is 'python'.

switch_initializers_dtype

OpRun

Switches all initializers to numpy.float64. If model is None, a simple cast is done.

switch_initializers_dtype

OpRunArg

Switches all initializers to numpy.float64. If model is None, a simple cast is done.

switch_initializers_dtype

OpRunBinary

Switches all initializers to numpy.float64. If model is None, a simple cast is done.

switch_initializers_dtype

OpRunBinaryNum

Switches all initializers to numpy.float64. If model is None, a simple cast is done.

switch_initializers_dtype

OpRunBinaryNumpy

Switches all initializers to numpy.float64. If model is None, a simple cast is done.

switch_initializers_dtype

OpRunClassifierProb

Switches all initializers to numpy.float64. If model is None, a simple cast is done.

switch_initializers_dtype

OpRunCustom

Switches all initializers to numpy.float64. If model is None, a simple cast is done.

switch_initializers_dtype

OpRunReduceNumpy

Switches all initializers to numpy.float64. If model is None, a simple cast is done.

switch_initializers_dtype

OpRunUnary

Switches all initializers to numpy.float64. If model is None, a simple cast is done.

switch_initializers_dtype

OpRunUnaryNum

Switches all initializers to numpy.float64. If model is None, a simple cast is done.

time_predict

_CommonAsvSklBenchmark

asv API

time_predict

_CommonAsvSklBenchmarkClassifier

asv API

time_predict

_CommonAsvSklBenchmarkClassifierRawScore

asv API

time_predict

_CommonAsvSklBenchmarkClustering

asv API

time_predict

_CommonAsvSklBenchmarkMultiClassifier

asv API

time_predict

_CommonAsvSklBenchmarkOutlier

asv API

time_predict

_CommonAsvSklBenchmarkRegressor

asv API

time_predict

_CommonAsvSklBenchmarkTrainableTransform

asv API

time_predict

_CommonAsvSklBenchmarkTransform

asv API

time_predict

_CommonAsvSklBenchmarkTransformPositive

asv API

to_dot

OnnxInferenceExport

Produces a DOT language string for the graph.

to_json

OnnxInferenceExport

Converts an ONNX model into JSON.

to_python

OnnxInferenceExport

Converts the ONNX runtime into independant python code. The function creates multiple files starting with …

to_python

OnnxInferenceNode

Returns a python code for this operator.

to_python

OpRun

Returns a python code equivalent to this operator.

to_python

OpRunArg

Returns a python code equivalent to this operator.

to_python

OpRunBinary

Returns a python code equivalent to this operator.

to_python

OpRunBinaryNum

Returns a python code equivalent to this operator.

to_python

OpRunBinaryNumpy

Returns a python code equivalent to this operator.

to_python

OpRunClassifierProb

Returns a python code equivalent to this operator.

to_python

OpRunCustom

Returns a python code equivalent to this operator.

to_python

OpRunReduceNumpy

Returns a python code equivalent to this operator.

to_python

OpRunUnary

Returns a python code equivalent to this operator.

to_python

OpRunUnaryNum

Returns a python code equivalent to this operator.

to_python

Abs

to_python

And

to_python

ArgMax_11

to_python

ArgMax_12

to_python

ArgMax_12

to_python

_ArgMax

to_python

ArgMin_11

to_python

ArgMin_12

to_python

ArgMin_12

to_python

Atan

to_python

CDist

to_python

Ceil

to_python

Celu

to_python

Clip_11

to_python

Clip_11

to_python

Clip_6

to_python

Concat

to_python

ConstantOfShape

to_python

CumSum

to_python

Einsum

to_python

Equal

to_python

Erf

to_python

Exp

to_python

EyeLike

to_python

Flatten

to_python

Floor

to_python

GatherElements

to_python

Greater

to_python

GreaterOrEqual

to_python

Identity

to_python

IsNaN

to_python

Less

to_python

LessOrEqual

to_python

Log

to_python

MatMul

to_python

Neg

to_python

Not

to_python

Or

to_python

Pow

to_python

Reciprocal

to_python

Relu

to_python

Sigmoid

to_python

Sign

to_python

Sin

to_python

Softmax

to_python

Solve

to_python

Sqrt

to_python

Sum

to_python

Transpose

Returns a python code equivalent to this operator.

to_sequence

OnnxInference

Produces a graph to facilitate the execution. One example:

to_string

BaseDimensionShape

Converts the object into a string.

to_string

DimensionObject

Represents the dimension as a string.

to_string

ShapeBinaryFctOperator

Applies binary operator to a dimension.

to_string

ShapeBinaryOperator

Applies binary operator to a dimension.

to_string

ShapeObject

Converts shapes into a string.

to_string

ShapeObjectFct

Converts shapes into a string.

to_string

ShapeOperator

Displays as a string.

to_string

ShapeOperatorAdd

Applies binary operator to a dimension.

to_string

ShapeOperatorGreater

Applies binary operator to a dimension.

to_string

ShapeOperatorMax

Applies binary operator to a dimension.

to_string

ShapeOperatorMul

Applies binary operator to a dimension.

track_nbnodes

_CommonAsvSklBenchmark

asv API

track_nbnodes

_CommonAsvSklBenchmarkClassifier

asv API

track_nbnodes

_CommonAsvSklBenchmarkClassifierRawScore

asv API

track_nbnodes

_CommonAsvSklBenchmarkClustering

asv API

track_nbnodes

_CommonAsvSklBenchmarkMultiClassifier

asv API

track_nbnodes

_CommonAsvSklBenchmarkOutlier

asv API

track_nbnodes

_CommonAsvSklBenchmarkRegressor

asv API

track_nbnodes

_CommonAsvSklBenchmarkTrainableTransform

asv API

track_nbnodes

_CommonAsvSklBenchmarkTransform

asv API

track_nbnodes

_CommonAsvSklBenchmarkTransformPositive

asv API

track_onnxsize

_CommonAsvSklBenchmark

asv API

track_onnxsize

_CommonAsvSklBenchmarkClassifier

asv API

track_onnxsize

_CommonAsvSklBenchmarkClassifierRawScore

asv API

track_onnxsize

_CommonAsvSklBenchmarkClustering

asv API

track_onnxsize

_CommonAsvSklBenchmarkMultiClassifier

asv API

track_onnxsize

_CommonAsvSklBenchmarkOutlier

asv API

track_onnxsize

_CommonAsvSklBenchmarkRegressor

asv API

track_onnxsize

_CommonAsvSklBenchmarkTrainableTransform

asv API

track_onnxsize

_CommonAsvSklBenchmarkTransform

asv API

track_onnxsize

_CommonAsvSklBenchmarkTransformPositive

asv API

track_score

_CommonAsvSklBenchmark

asv API

track_score

_CommonAsvSklBenchmarkClassifier

asv API

track_score

_CommonAsvSklBenchmarkClassifierRawScore

asv API

track_score

_CommonAsvSklBenchmarkClustering

asv API

track_score

_CommonAsvSklBenchmarkMultiClassifier

asv API

track_score

_CommonAsvSklBenchmarkOutlier

asv API

track_score

_CommonAsvSklBenchmarkRegressor

asv API

track_score

_CommonAsvSklBenchmarkTrainableTransform

asv API

track_score

_CommonAsvSklBenchmarkTransform

asv API

track_score

_CommonAsvSklBenchmarkTransformPositive

asv API

track_vmlprodict

_CommonAsvSklBenchmark

asv API

track_vmlprodict

_CommonAsvSklBenchmarkClassifier

asv API

track_vmlprodict

_CommonAsvSklBenchmarkClassifierRawScore

asv API

track_vmlprodict

_CommonAsvSklBenchmarkClustering

asv API

track_vmlprodict

_CommonAsvSklBenchmarkMultiClassifier

asv API

track_vmlprodict

_CommonAsvSklBenchmarkOutlier

asv API

track_vmlprodict

_CommonAsvSklBenchmarkRegressor

asv API

track_vmlprodict

_CommonAsvSklBenchmarkTrainableTransform

asv API

track_vmlprodict

_CommonAsvSklBenchmarkTransform

asv API

track_vmlprodict

_CommonAsvSklBenchmarkTransformPositive

asv API

track_vort

_CommonAsvSklBenchmark

asv API

track_vort

_CommonAsvSklBenchmarkClassifier

asv API

track_vort

_CommonAsvSklBenchmarkClassifierRawScore

asv API

track_vort

_CommonAsvSklBenchmarkClustering

asv API

track_vort

_CommonAsvSklBenchmarkMultiClassifier

asv API

track_vort

_CommonAsvSklBenchmarkOutlier

asv API

track_vort

_CommonAsvSklBenchmarkRegressor

asv API

track_vort

_CommonAsvSklBenchmarkTrainableTransform

asv API

track_vort

_CommonAsvSklBenchmarkTransform

asv API

track_vort

_CommonAsvSklBenchmarkTransformPositive

asv API

track_vsklearn

_CommonAsvSklBenchmark

asv API

track_vsklearn

_CommonAsvSklBenchmarkClassifier

asv API

track_vsklearn

_CommonAsvSklBenchmarkClassifierRawScore

asv API

track_vsklearn

_CommonAsvSklBenchmarkClustering

asv API

track_vsklearn

_CommonAsvSklBenchmarkMultiClassifier

asv API

track_vsklearn

_CommonAsvSklBenchmarkOutlier

asv API

track_vsklearn

_CommonAsvSklBenchmarkRegressor

asv API

track_vsklearn

_CommonAsvSklBenchmarkTrainableTransform

asv API

track_vsklearn

_CommonAsvSklBenchmarkTransform

asv API

track_vsklearn

_CommonAsvSklBenchmarkTransformPositive

asv API

transform

OnnxTransformer

Runs the predictions. If X is a dataframe, the function assumes every columns is a separate input, otherwise, …

transpose

ShapeObject

Removes one dimension.

transpose

ShapeObjectFct

Removes one dimension.

unsqueeze

ShapeObject

Adds dimensions.

unsqueeze

ShapeObjectFct

Adds dimensions.

validate

MLNumType

Checks that the value is of this type.

validate

MLNumTypeBool

Checks that the value is of this type.

validate

MLNumTypeFloat32

Checks that the value is of this type.

validate

MLNumTypeFloat64

Checks that the value is of this type.

validate

MLNumTypeInt32

Checks that the value is of this type.

validate

MLNumTypeInt64

Checks that the value is of this type.

validate

MLNumTypeSingle

Checks that the value is of this type.

validate

MLTensor

Checks that the value is of this type.

validate

MLType

Checks that the value is of this type.

values

ZipMapDictionary

visit

CodeNodeVisitor

Visits a node, a method must exist for every object class.

visit

CodeTranslator

Visits a node.

visit

OnnxTranslator

Visits a node.

visit

CodeNodeVisitor

Visits a node, a method must exist for every object class.

visit_

CodeNodeVisitor

If an element is not found…

visit_

CodeNodeVisitor

visit_Add

CodeNodeVisitor

visit_Add

CodeNodeVisitor

visit_And

CodeNodeVisitor

visit_Assign

CodeNodeVisitor

visit_Assign

CodeNodeVisitor

visit_Attribute

CodeNodeVisitor

visit_Attribute

CodeNodeVisitor

visit_AugAssign

CodeNodeVisitor

visit_BinOp

CodeNodeVisitor

visit_BinOp

CodeNodeVisitor

visit_BitAnd

CodeNodeVisitor

visit_BoolOp

CodeNodeVisitor

visit_Call

CodeNodeVisitor

visit_Call

CodeNodeVisitor

visit_ClassDef

CodeNodeVisitor

visit_Compare

CodeNodeVisitor

visit_Compare

CodeNodeVisitor

visit_Dict

CodeNodeVisitor

visit_Div

CodeNodeVisitor

visit_Div

CodeNodeVisitor

visit_Eq

CodeNodeVisitor

visit_Expr

CodeNodeVisitor

visit_ExtSlice

CodeNodeVisitor

visit_FloorDiv

CodeNodeVisitor

visit_FunctionDef

CodeNodeVisitor

visit_FunctionDef

CodeNodeVisitor

visit_GeneratorExp

CodeNodeVisitor

visit_Gt

CodeNodeVisitor

visit_Gt

CodeNodeVisitor

visit_GtE

CodeNodeVisitor

visit_If

CodeNodeVisitor

visit_IfExp

CodeNodeVisitor

visit_Import

CodeNodeVisitor

visit_ImportFrom

CodeNodeVisitor

visit_In

CodeNodeVisitor

visit_Index

CodeNodeVisitor

visit_Invert

CodeNodeVisitor

visit_Is

CodeNodeVisitor

visit_IsNot

CodeNodeVisitor

visit_Lambda

CodeNodeVisitor

visit_List

CodeNodeVisitor

visit_List

CodeNodeVisitor

visit_ListComp

CodeNodeVisitor

visit_Load

CodeNodeVisitor

visit_Load

CodeNodeVisitor

visit_Lt

CodeNodeVisitor

visit_Lt

CodeNodeVisitor

visit_MatMult

CodeNodeVisitor

visit_Mod

CodeNodeVisitor

visit_Module

CodeNodeVisitor

visit_Module

CodeNodeVisitor

visit_Mult

CodeNodeVisitor

visit_Mult

CodeNodeVisitor

visit_Name

CodeNodeVisitor

visit_Name

CodeNodeVisitor

visit_NameConstant

CodeNodeVisitor

A name.

visit_NameConstant

CodeNodeVisitor

visit_Not

CodeNodeVisitor

visit_NotEq

CodeNodeVisitor

visit_Num

CodeNodeVisitor

visit_Num

CodeNodeVisitor

visit_Or

CodeNodeVisitor

visit_Pow

CodeNodeVisitor

visit_Pow

CodeNodeVisitor

visit_Return

CodeNodeVisitor

visit_Return

CodeNodeVisitor

visit_Slice

CodeNodeVisitor

visit_Store

CodeNodeVisitor

visit_Store

CodeNodeVisitor

visit_Str

CodeNodeVisitor

visit_Str

CodeNodeVisitor

visit_Sub

CodeNodeVisitor

visit_Sub

CodeNodeVisitor

visit_Subscript

CodeNodeVisitor

visit_Tuple

CodeNodeVisitor

visit_USub

CodeNodeVisitor

visit_USub

CodeNodeVisitor

visit_UnaryOp

CodeNodeVisitor

visit_UnaryOp

CodeNodeVisitor

visit_alias

CodeNodeVisitor

visit_arg

CodeNodeVisitor

visit_arg

CodeNodeVisitor

visit_arguments

CodeNodeVisitor

visit_arguments

CodeNodeVisitor

visit_comprehension

CodeNodeVisitor

visit_keyword

CodeNodeVisitor

visit_keyword

CodeNodeVisitor