OneVsRestClassifier - ~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.multiclass.OneVsOneClassifier'>={'zipmap': False}.

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

index	0
skl_nop	4
skl_ncoef	6
skl_nlin	4
onx_size	1906
onx_nnodes	17
onx_ninits	5
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	2
onx_op_ZipMap	1
onx_op_Reshape	1
onx_size_optim	1906
onx_nnodes_optim	17
onx_ninits_optim	5
fit_classes_.shape	3
fit_n_classes_	3
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

OneVsRestClassifier - m-cl - logreg - {‘zipmap’: False}

multioutput