SGDClassifier - b-cl - log - {‘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._stochastic_gradient.SGDClassifier'>={'zipmap': False}.

SGDClassifier(loss='log', n_jobs=8, random_state=0)

index

0

skl_nop

1

skl_ncoef

1

skl_nlin

1

onx_size

825

onx_nnodes

9

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

1.13.1

onx_

14

onx_ai.onnx.ml

1

onx_op_Cast

1

onx_op_Reshape

1

onx_size_optim

825

onx_nnodes_optim

9

onx_ninits_optim

5

fit_coef_.shape

(1, 4)

fit_intercept_.shape

1

fit_classes_.shape

2