AdaBoostClassifier - ~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.ensemble._weight_boosting.AdaBoostClassifier'>={'zipmap': False}.

AdaBoostClassifier(n_estimators=10, random_state=0)

index

0

skl_nop

2

skl_nnodes

3

skl_ntrees

1

skl_max_depth

1

onx_size

2530

onx_nnodes

24

onx_ninits

8

onx_doc_string

onx_ir_version

8

onx_domain

ai.onnx

onx_model_version

0

onx_producer_name

skl2onnx

onx_producer_version

1.13.1

onx_

17

onx_ai.onnx.ml

3

onx_op_Cast

4

onx_op_Reshape

3

onx_size_optim

2530

onx_nnodes_optim

24

onx_ninits_optim

8

fit_estimator_weights_.shape

10

fit_estimator_errors_.shape

10

fit_classes_.shape

2

fit_n_classes_

2

fit_estimators_.size

1

fit_estimators_.sum|tree_.leave_count

2

fit_estimators_.n_classes_

2

fit_estimators_.sum|tree_.node_count

3

fit_estimators_.max|tree_.max_depth

1

fit_estimators_.classes_.shape

2