KNeighborsClassifier - ~b-cl-64 - default_k3 - {‘optim’: ‘cdist’, ‘zipmap’: False}#

Fitted on a problem type ~b-cl-64 (see find_suitable_problem), method predict_proba matches output . Model was converted with additional parameter: <class 'sklearn.neighbors._classification.KNeighborsClassifier'>={'optim': 'cdist', 'zipmap': False}.

KNeighborsClassifier(algorithm='brute', n_jobs=8, n_neighbors=3)

index

0

skl_nop

1

onx_size

5658

onx_nnodes

18

onx_ninits

8

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_

15

onx_ai.onnx.ml

1

onx_com.microsoft

1

onx_op_Cast

3

onx_op_Reshape

2

onx_size_optim

5658

onx_nnodes_optim

18

onx_ninits_optim

8

fit_classes_.shape

2

fit__fit_X.shape

(112, 4)