KNeighborsClassifier - ~m-label - weights_k3 - {‘optim’: ‘cdist’, ‘zipmap’: False}#

Fitted on a problem type ~m-label (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,
                 weights='distance')

index

0

skl_nop

1

onx_size

8211

onx_nnodes

69

onx_ninits

13

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_ai.onnx.ml

1

onx_

17

onx_com.microsoft

1

onx_op_Cast

7

onx_op_Reshape

7

onx_size_optim

8047

onx_nnodes_optim

67

onx_ninits_optim

13

fit__fit_X.shape

(112, 4)