KNeighborsRegressor - m-reg - default_k3 - cdist#

Fitted on a problem type m-reg (see find_suitable_problem), method predict matches output . Model was converted with additional parameter: <class 'sklearn.neighbors._regression.KNeighborsRegressor'>={'optim': 'cdist'}.

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

index

0

skl_nop

1

onx_size

3637

onx_nnodes

8

onx_ninits

4

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_

14

onx_com.microsoft

1

onx_op_Cast

1

onx_op_Reshape

1

onx_size_optim

3637

onx_nnodes_optim

8

onx_ninits_optim

4

fit__fit_X.shape

(112, 4)