GridSearchCV - b-cl - cl - {‘zipmap’: False}#
Fitted on a problem type b-cl
(see find_suitable_problem),
method predict_proba matches output .
Model was converted with additional parameter: <class 'sklearn.model_selection._search.GridSearchCV'>={'zipmap': False}.
GridSearchCV(estimator=LogisticRegression(random_state=0, solver='liblinear'),
n_jobs=1, param_grid={'fit_intercept': [False, True]})
index |
0 |
|---|---|
skl_nop |
1 |
onx_size |
587 |
onx_nnodes |
4 |
onx_ninits |
0 |
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_ai.onnx.ml |
1 |
14 |
|
onx_op_Identity |
2 |
onx_size_optim |
490 |
onx_nnodes_optim |
2 |
onx_ninits_optim |
0 |
fit_best_score_.shape |
1 |