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 |
1.11.1 |
14 |
|
onx_ai.onnx.ml |
1 |
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) |