MultiOutputClassifier - ~m-label - logreg - {‘zipmap’: False}#

Fitted on a problem type ~m-label (see find_suitable_problem), method predict_proba matches output . Model was converted with additional parameter: <class 'sklearn.multioutput.MultiOutputClassifier'>={'zipmap': False}.

MultiOutputClassifier(estimator=LogisticRegression(random_state=0,
                                               solver='liblinear'),
                  n_jobs=8)

index

0

skl_nop

4

skl_ncoef

3

skl_nlin

3

onx_size

1652

onx_nnodes

11

onx_ninits

1

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_Reshape

3

onx_size_optim

1652

onx_nnodes_optim

11

onx_ninits_optim

1

fit_estimators_.size

3

fit_estimators_.intercept_.shape

1

fit_estimators_.classes_.shape

2

fit_estimators_.coef_.shape

(1, 4)

fit_estimators_.n_iter_.shape

1