KNeighborsClassifier - m-cl - weights_k3 - {‘optim’: ‘cdist’, ‘zipmap’: False}#
Fitted on a problem type m-cl
(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 |
4491 |
onx_nnodes |
27 |
onx_ninits |
11 |
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 |
15 |
|
onx_ai.onnx.ml |
1 |
onx_com.microsoft |
1 |
onx_op_Cast |
4 |
onx_op_Reshape |
2 |
onx_size_optim |
4491 |
onx_nnodes_optim |
27 |
onx_ninits_optim |
11 |
fit_classes_.shape |
3 |
fit__fit_X.shape |
(112, 4) |