BaggingClassifier - m-cl - default -#

Fitted on a problem type m-cl (see find_suitable_problem), method predict_proba matches output .

BaggingClassifier(n_jobs=8, random_state=0)

index

0

skl_nop

11

skl_nnodes

158

skl_ntrees

10

skl_max_depth

6

onx_size

13638

onx_nnodes

29

onx_ninits

3

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_

15

onx_ai.onnx.ml

1

onx_op_Cast

3

onx_op_ZipMap

1

onx_op_Reshape

11

onx_size_optim

13638

onx_nnodes_optim

29

onx_ninits_optim

3

fit_classes_.shape

3

fit_n_classes_

3

fit_n_features_

4

fit_estimators_.size

10

fit_estimators_.n_classes_

3

fit_estimators_.sum|tree_.node_count

158

fit_estimators_.classes_.shape

3

fit_estimators_.sum|tree_.leave_count

84

fit_estimators_.n_features_

4

fit_estimators_.max|tree_.max_depth

6
%0 X X float((0, 4)) TreeEnsembleClassifier9 TreeEnsembleClassifier (TreeEnsembleClassifier9) class_ids=[0 1 2 0 1 2 0 1 2 0 ... class_nodeids=[ 1  1  1  5  5  ... class_treeids=[0 0 0 0 0 0 0 0 ... class_weights=[1. 0. 0. 0. 1. 0... classlabels_int64s=[0 1 2] nodes_falsenodeids=[ 2  0 10  9... nodes_featureids=[2 0 2 3 3 0 0... nodes_hitrates=[1. 1. 1. 1. 1. ... nodes_missing_value_tracks_true=[0 0 0 0 0... nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[ 0  1  2  3  4  ... nodes_treeids=[0 0 0 0 0 0 0 0 ... nodes_truenodeids=[ 1  0  3  4 ... nodes_values=[2.6641772 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier9 TreeEnsembleClassifier4 TreeEnsembleClassifier (TreeEnsembleClassifier4) class_ids=[0 1 2 0 1 2 0 1 2 0 ... class_nodeids=[ 2  2  2  5  5  ... class_treeids=[0 0 0 0 0 0 0 0 ... class_weights=[1. 0. 0. 0. 1. 0... classlabels_int64s=[0 1 2] nodes_falsenodeids=[10  3  0  9... nodes_featureids=[2 2 0 3 3 0 3... nodes_hitrates=[1. 1. 1. 1. 1. ... nodes_missing_value_tracks_true=[0 0 0 0 0... nodes_modes=[b'BRANCH_LEQ' b'BR... nodes_nodeids=[ 0  1  2  3  4  ... nodes_treeids=[0 0 0 0 0 0 0 0 ... nodes_truenodeids=[1 2 0 4 5 0 ... nodes_values=[4.849488  2.54898... post_transform=b'NONE' X->TreeEnsembleClassifier4 TreeEnsembleClassifier2 TreeEnsembleClassifier (TreeEnsembleClassifier2) class_ids=[0 1 2 0 1 2 0 1 2 0 ... class_nodeids=[ 1  1  1  5  5  ... class_treeids=[0 0 0 0 0 0 0 0 ... class_weights=[1. 0. 0. 0. 1. 0... classlabels_int64s=[0 1 2] nodes_falsenodeids=[ 2  0 10  9... nodes_featureids=[2 0 2 3 3 0 3... nodes_hitrates=[1. 1. 1. 1. 1. ... nodes_missing_value_tracks_true=[0 0 0 0 0... nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[ 0  1  2  3  4  ... nodes_treeids=[0 0 0 0 0 0 0 0 ... nodes_truenodeids=[ 1  0  3  4 ... nodes_values=[2.4079013 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier2 TreeEnsembleClassifier5 TreeEnsembleClassifier (TreeEnsembleClassifier5) class_ids=[0 1 2 0 1 2 0 1 2 0 ... class_nodeids=[ 1  1  1  5  5  ... class_treeids=[0 0 0 0 0 0 0 0 ... class_weights=[1. 0. 0. 0. 1. 0... classlabels_int64s=[0 1 2] nodes_falsenodeids=[ 2  0 10  9... nodes_featureids=[2 0 2 3 3 0 3... nodes_hitrates=[1. 1. 1. 1. 1. ... nodes_missing_value_tracks_true=[0 0 0 0 0... nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[ 0  1  2  3  4  ... nodes_treeids=[0 0 0 0 0 0 0 0 ... nodes_truenodeids=[ 1  0  3  4 ... nodes_values=[2.7056267 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier5 TreeEnsembleClassifier8 TreeEnsembleClassifier (TreeEnsembleClassifier8) class_ids=[0 1 2 0 1 2 0 1 2 0 ... class_nodeids=[ 1  1  1  5  5  ... class_treeids=[0 0 0 0 0 0 0 0 ... class_weights=[1. 0. 0. 0. 1. 0... classlabels_int64s=[0 1 2] nodes_falsenodeids=[ 2  0 12 11... nodes_featureids=[2 0 2 3 3 0 1... nodes_hitrates=[1. 1. 1. 1. 1. ... nodes_missing_value_tracks_true=[0 0 0 0 0... nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[ 0  1  2  3  4  ... nodes_treeids=[0 0 0 0 0 0 0 0 ... nodes_truenodeids=[ 1  0  3  4 ... nodes_values=[2.5489838 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier8 TreeEnsembleClassifier1 TreeEnsembleClassifier (TreeEnsembleClassifier1) class_ids=[0 1 2 0 1 2 0 1 2 0 ... class_nodeids=[ 1  1  1  5  5  ... class_treeids=[0 0 0 0 0 0 0 0 ... class_weights=[1. 0. 0. 0. 1. 0... classlabels_int64s=[0 1 2] nodes_falsenodeids=[ 2  0 12 11... nodes_featureids=[2 0 2 3 3 0 1... nodes_hitrates=[1. 1. 1. 1. 1. ... nodes_missing_value_tracks_true=[0 0 0 0 0... nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[ 0  1  2  3  4  ... nodes_treeids=[0 0 0 0 0 0 0 0 ... nodes_truenodeids=[ 1  0  3  4 ... nodes_values=[2.4172986 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier1 TreeEnsembleClassifier3 TreeEnsembleClassifier (TreeEnsembleClassifier3) class_ids=[0 1 2 0 1 2 0 1 2 0 ... class_nodeids=[ 1  1  1  5  5  ... class_treeids=[0 0 0 0 0 0 0 0 ... class_weights=[1. 0. 0. 0. 1. 0... classlabels_int64s=[0 1 2] nodes_falsenodeids=[ 2  0 10  9... nodes_featureids=[2 0 2 3 3 0 3... nodes_hitrates=[1. 1. 1. 1. 1. ... nodes_missing_value_tracks_true=[0 0 0 0 0... nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[ 0  1  2  3  4  ... nodes_treeids=[0 0 0 0 0 0 0 0 ... nodes_truenodeids=[ 1  0  3  4 ... nodes_values=[2.4861827 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier3 TreeEnsembleClassifier7 TreeEnsembleClassifier (TreeEnsembleClassifier7) class_ids=[0 1 2 0 1 2 0 1 2 0 ... class_nodeids=[ 1  1  1  5  5  ... class_treeids=[0 0 0 0 0 0 0 0 ... class_weights=[1. 0. 0. 0. 1. 0... classlabels_int64s=[0 1 2] nodes_falsenodeids=[ 2  0 12 11... nodes_featureids=[2 0 2 3 3 0 3... nodes_hitrates=[1. 1. 1. 1. 1. ... nodes_missing_value_tracks_true=[0 0 0 0 0... nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[ 0  1  2  3  4  ... nodes_treeids=[0 0 0 0 0 0 0 0 ... nodes_truenodeids=[ 1  0  3  4 ... nodes_values=[2.5489838 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier7 TreeEnsembleClassifier TreeEnsembleClassifier (TreeEnsembleClassifier) class_ids=[0 1 2 0 1 2 0 1 2 0 ... class_nodeids=[ 1  1  1  5  5  ... class_treeids=[0 0 0 0 0 0 0 0 ... class_weights=[1. 0. 0. 0. 1. 0... classlabels_int64s=[0 1 2] nodes_falsenodeids=[ 2  0 10  9... nodes_featureids=[2 0 2 3 3 0 1... nodes_hitrates=[1. 1. 1. 1. 1. ... nodes_missing_value_tracks_true=[0 0 0 0 0... nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[ 0  1  2  3  4  ... nodes_treeids=[0 0 0 0 0 0 0 0 ... nodes_truenodeids=[ 1  0  3  4 ... nodes_values=[2.7556252 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier TreeEnsembleClassifier6 TreeEnsembleClassifier (TreeEnsembleClassifier6) class_ids=[0 1 2 0 1 2 0 1 2 0 ... class_nodeids=[ 1  1  1  5  5  ... class_treeids=[0 0 0 0 0 0 0 0 ... class_weights=[1. 0. 0. 0. 1. 0... classlabels_int64s=[0 1 2] nodes_falsenodeids=[ 2  0 10  9... nodes_featureids=[2 0 2 3 3 0 0... nodes_hitrates=[1. 1. 1. 1. 1. ... nodes_missing_value_tracks_true=[0 0 0 0 0... nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[ 0  1  2  3  4  ... nodes_treeids=[0 0 0 0 0 0 0 0 ... nodes_truenodeids=[ 1  0  3  4 ... nodes_values=[2.532492  0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier6 output_label output_label int64((0,)) output_probability output_probability [{int64, {'kind': 'tensor', 'elem': 'float', 'shape': }}] classes classes int32((3,)) [0 1 2] ArrayFeatureExtractor ArrayFeatureExtractor (ArrayFeatureExtractor) classes->ArrayFeatureExtractor shape_tensor shape_tensor int64((3,)) [ 1 -1  3] Reshape Reshape (Reshape) shape_tensor->Reshape Reshape3 Reshape (Reshape3) shape_tensor->Reshape3 Reshape2 Reshape (Reshape2) shape_tensor->Reshape2 Reshape4 Reshape (Reshape4) shape_tensor->Reshape4 Reshape5 Reshape (Reshape5) shape_tensor->Reshape5 Reshape6 Reshape (Reshape6) shape_tensor->Reshape6 Reshape7 Reshape (Reshape7) shape_tensor->Reshape7 Reshape8 Reshape (Reshape8) shape_tensor->Reshape8 Reshape9 Reshape (Reshape9) shape_tensor->Reshape9 Reshape1 Reshape (Reshape1) shape_tensor->Reshape1 shape_tensor10 shape_tensor10 int64((1,)) [-1] Reshape10 Reshape (Reshape10) shape_tensor10->Reshape10 label_9 label_9 proba_9 proba_9 proba_9->Reshape9 TreeEnsembleClassifier9->label_9 TreeEnsembleClassifier9->proba_9 label_4 label_4 proba_4 proba_4 proba_4->Reshape4 TreeEnsembleClassifier4->label_4 TreeEnsembleClassifier4->proba_4 label_2 label_2 proba_2 proba_2 proba_2->Reshape2 TreeEnsembleClassifier2->label_2 TreeEnsembleClassifier2->proba_2 label_5 label_5 proba_5 proba_5 proba_5->Reshape5 TreeEnsembleClassifier5->label_5 TreeEnsembleClassifier5->proba_5 label_8 label_8 proba_8 proba_8 proba_8->Reshape8 TreeEnsembleClassifier8->label_8 TreeEnsembleClassifier8->proba_8 label_1 label_1 proba_1 proba_1 proba_1->Reshape1 TreeEnsembleClassifier1->label_1 TreeEnsembleClassifier1->proba_1 label_3 label_3 proba_3 proba_3 proba_3->Reshape3 TreeEnsembleClassifier3->label_3 TreeEnsembleClassifier3->proba_3 label_7 label_7 proba_7 proba_7 proba_7->Reshape7 TreeEnsembleClassifier7->label_7 TreeEnsembleClassifier7->proba_7 label_0 label_0 proba_0 proba_0 proba_0->Reshape TreeEnsembleClassifier->label_0 TreeEnsembleClassifier->proba_0 label_6 label_6 proba_6 proba_6 proba_6->Reshape6 TreeEnsembleClassifier6->label_6 TreeEnsembleClassifier6->proba_6 reshaped_proba reshaped_proba Concat Concat (Concat) axis=0 reshaped_proba->Concat Reshape->reshaped_proba reshaped_proba3 reshaped_proba3 reshaped_proba3->Concat Reshape3->reshaped_proba3 reshaped_proba2 reshaped_proba2 reshaped_proba2->Concat Reshape2->reshaped_proba2 reshaped_proba4 reshaped_proba4 reshaped_proba4->Concat Reshape4->reshaped_proba4 reshaped_proba5 reshaped_proba5 reshaped_proba5->Concat Reshape5->reshaped_proba5 reshaped_proba6 reshaped_proba6 reshaped_proba6->Concat Reshape6->reshaped_proba6 reshaped_proba7 reshaped_proba7 reshaped_proba7->Concat Reshape7->reshaped_proba7 reshaped_proba8 reshaped_proba8 reshaped_proba8->Concat Reshape8->reshaped_proba8 reshaped_proba9 reshaped_proba9 reshaped_proba9->Concat Reshape9->reshaped_proba9 reshaped_proba1 reshaped_proba1 reshaped_proba1->Concat Reshape1->reshaped_proba1 merged_proba merged_proba ReduceMean ReduceMean (ReduceMean) axes=[0] keepdims=0 merged_proba->ReduceMean Concat->merged_proba probabilities probabilities ArgMax ArgMax (ArgMax) axis=1 probabilities->ArgMax ZipMap ZipMap (ZipMap) classlabels_int64s=[0 1 2] probabilities->ZipMap ReduceMean->probabilities argmax_output argmax_output argmax_output->ArrayFeatureExtractor ArgMax->argmax_output ZipMap->output_probability array_feature_extractor_result array_feature_extractor_result Cast Cast (Cast) to=7 array_feature_extractor_result->Cast ArrayFeatureExtractor->array_feature_extractor_result cast_result cast_result cast_result->Reshape10 Cast->cast_result reshaped_result reshaped_result Cast1 Cast (Cast1) to=7 reshaped_result->Cast1 Reshape10->reshaped_result label label Cast2 Cast (Cast2) to=7 label->Cast2 Cast1->label Cast2->output_label

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