MLPClassifier - ~b-cl-64 - default - {‘zipmap’: False}#

Fitted on a problem type ~b-cl-64 (see find_suitable_problem), method predict_proba matches output . Model was converted with additional parameter: <class 'sklearn.neural_network._multilayer_perceptron.MLPClassifier'>={'zipmap': False}.

MLPClassifier(random_state=0)

index

0

skl_nop

1

onx_size

5985

onx_nnodes

13

onx_ninits

7

onx_doc_string

onx_ir_version

8

onx_domain

ai.onnx

onx_model_version

0

onx_producer_name

skl2onnx

onx_producer_version

1.11.1

onx_

14

onx_ai.onnx.ml

1

onx_op_Cast

2

onx_op_Reshape

1

onx_size_optim

5985

onx_nnodes_optim

13

onx_ninits_optim

7

fit_classes_.shape

2

fit_best_loss_.shape

1

fit_loss_.shape

1
%0 X X double((0, 4)) Cast Cast (Cast) to=11 X->Cast label label int64((0,)) probabilities probabilities double((0, 2)) ArgMax ArgMax (ArgMax) axis=1 probabilities->ArgMax coefficient coefficient float64((4, 100)) [[ 6.17740080e-02  9.88730764e-02  1.38249590e-01 ... MatMul MatMul (MatMul) coefficient->MatMul intercepts intercepts float64((1, 100)) [[ 0.03758297  0.22837737  0.00309259  0.13347783 ... Add Add (Add) intercepts->Add coefficient1 coefficient1 float64((100, 1)) [[-2.44229181e-01] [-8.23783708e-03] [-1.4520321... MatMul1 MatMul (MatMul1) coefficient1->MatMul1 intercepts1 intercepts1 float64((1, 1)) [[-0.20474092]] Add1 Add (Add1) intercepts1->Add1 unity unity float64(()) 1.0 Sub Sub (Sub) unity->Sub classes classes int32((2,)) [0 1] ArrayFeatureExtractor ArrayFeatureExtractor (ArrayFeatureExtractor) classes->ArrayFeatureExtractor shape_tensor shape_tensor int64((1,)) [-1] Reshape Reshape (Reshape) shape_tensor->Reshape cast_input cast_input cast_input->MatMul Cast->cast_input mul_result mul_result mul_result->Add MatMul->mul_result add_result add_result Relu Relu (Relu) add_result->Relu Add->add_result next_activations next_activations next_activations->MatMul1 Relu->next_activations mul_result1 mul_result1 mul_result1->Add1 MatMul1->mul_result1 add_result1 add_result1 Relu1 Sigmoid (Relu1) add_result1->Relu1 Add1->add_result1 out_activations_result out_activations_result out_activations_result->Sub Concat Concat (Concat) axis=1 out_activations_result->Concat Relu1->out_activations_result negative_class_proba negative_class_proba negative_class_proba->Concat Sub->negative_class_proba Concat->probabilities argmax_output argmax_output argmax_output->ArrayFeatureExtractor ArgMax->argmax_output array_feature_extractor_result array_feature_extractor_result array_feature_extractor_result->Reshape ArrayFeatureExtractor->array_feature_extractor_result reshaped_result reshaped_result Cast1 Cast (Cast1) to=7 reshaped_result->Cast1 Reshape->reshaped_result Cast1->label

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MLPClassifier - b-cl - default - {‘zipmap’: False}

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MLPClassifier - m-cl - default - {‘zipmap’: False}