.. _l-KNeighborsRegressor-~b-reg-64-weights_k3-cdist-o17:

KNeighborsRegressor - ~b-reg-64 - weights_k3 - cdist
====================================================

Fitted on a problem type *~b-reg-64*
(see :func:`find_suitable_problem
<mlprodict.onnxrt.validate.validate_problems.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,
                        weights='distance')

+----------------------+----------+
| index                | 0        |
+======================+==========+
| skl_nop              | 1        |
+----------------------+----------+
| onx_size             | 6049     |
+----------------------+----------+
| onx_nnodes           | 16       |
+----------------------+----------+
| 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 | 1.13.1   |
+----------------------+----------+
| onx_ai.onnx.ml       | 1        |
+----------------------+----------+
| onx_                 | 17       |
+----------------------+----------+
| onx_com.microsoft    | 1        |
+----------------------+----------+
| onx_op_Cast          | 1        |
+----------------------+----------+
| onx_op_Reshape       | 3        |
+----------------------+----------+
| onx_size_optim       | 6049     |
+----------------------+----------+
| onx_nnodes_optim     | 16       |
+----------------------+----------+
| onx_ninits_optim     | 8        |
+----------------------+----------+
| fit__fit_X.shape     | (112, 4) |
+----------------------+----------+


.. gdot::

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      nodesep=0.05;
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      variable [shape=box color=green label="variable\ndouble((0, 1))" fontsize=10];

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      final_ReduceSumcst [shape=box label="final_ReduceSumcst\nint64((1,))\n[1]" fontsize=10];
      Re_Reshapecst [shape=box label="Re_Reshapecst\nint64((2,))\n[-1  1]" fontsize=10];

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      X -> CD_CDist;
      CD_CDistcst -> CD_CDist;
      CD_CDist -> CD_dist;

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      To_Indices1 [shape=box label="To_Indices1" fontsize=10];
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      CD_dist -> To_TopK;
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      final_ReduceSumcst -> norm_ReduceSum;
      norm_ReduceSum -> norm_reduced0;

      final_C0 [shape=box label="final_C0" fontsize=10];
      final_Mul [shape=box style="filled,rounded" color=orange label="Mul\n(final_Mul)" fontsize=10];
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      final_reduced0 [shape=box label="final_reduced0" fontsize=10];
      final_ReduceSum [shape=box style="filled,rounded" color=orange label="ReduceSum\n(final_ReduceSum)\nkeepdims=0" fontsize=10];
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      Re_Reshape [shape=box style="filled,rounded" color=orange label="Reshape\n(Re_Reshape)\nallowzero=0" fontsize=10];
      Di_C0 -> Re_Reshape;
      Re_Reshapecst -> Re_Reshape;
      Re_Reshape -> variable;
    }