SVC - m-cl - poly - {‘zipmap’: False}#

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

SVC(kernel='poly', probability=True, random_state=0)

index

0

skl_nop

1

onx_size

1329

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

1.13.1

onx_

9

onx_ai.onnx.ml

1

onx_op_Cast

1

onx_size_optim

1329

onx_nnodes_optim

2

onx_ninits_optim

0

fit_class_weight_.shape

3

fit_classes_.shape

3

fit_support_.shape

27

fit_support_vectors_.shape

(27, 4)

fit_dual_coef_.shape

(2, 27)

fit_intercept_.shape

3

fit_n_iter_.shape

3