LogisticRegressionCV - b-cl - default - {‘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.linear_model._logistic.LogisticRegressionCV'>={'zipmap': False}.
LogisticRegressionCV(n_jobs=8, random_state=0)
index |
0 |
|---|---|
skl_nop |
1 |
skl_ncoef |
1 |
skl_nlin |
1 |
onx_size |
498 |
onx_nnodes |
2 |
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 |
15 |
|
onx_size_optim |
498 |
onx_nnodes_optim |
2 |
onx_ninits_optim |
0 |
fit_classes_.shape |
2 |
fit_Cs_.shape |
10 |
fit_n_iter_.shape |
(1, 5, 10) |
fit_C_.shape |
1 |
fit_l1_ratio_.shape |
1 |
fit_coef_.shape |
(1, 4) |
fit_intercept_.shape |
1 |
fit_l1_ratios_.shape |
1 |