LinearSVC - ~b-cl-nop - default -#

Fitted on a problem type ~b-cl-nop (see find_suitable_problem), method predict matches output .

LinearSVC(random_state=0)

index

0

skl_nop

1

skl_ncoef

1

skl_nlin

1

onx_size

539

onx_nnodes

2

onx_ninits

1

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

onx_

15

onx_size_optim

539

onx_nnodes_optim

2

onx_ninits_optim

1

fit_classes_.shape

2

fit_coef_.shape

(1, 4)

fit_intercept_.shape

1

%0 X X float((0, 4)) LinearClassifier LinearClassifier (LinearClassifier) classlabels_ints=[0 1] coefficients=[ 0.26990703  0.52... intercepts=[ 0.15582687 -0.1558... multi_class=0 post_transform=b'NONE' X->LinearClassifier label label int64((0,)) probabilities probabilities float((0, 1)) positive_class_index positive_class_index int64(()) 1 ArrayFeatureExtractor ArrayFeatureExtractor (ArrayFeatureExtractor) positive_class_index->ArrayFeatureExtractor raw_scores_tensor raw_scores_tensor raw_scores_tensor->ArrayFeatureExtractor LinearClassifier->label LinearClassifier->raw_scores_tensor ArrayFeatureExtractor->probabilities