.. _l-RadiusNeighborsRegressor-m-reg-default_k3--o17:

RadiusNeighborsRegressor - m-reg - default_k3 - 
================================================

Fitted on a problem type *m-reg*
(see :func:`find_suitable_problem
<mlprodict.onnxrt.validate.validate_problems.find_suitable_problem>`),
method `predict` matches output .


::

        RadiusNeighborsRegressor(algorithm='brute', n_jobs=8)

+-----------------------+----------+
| index                 | 0        |
+=======================+==========+
| skl_nop               | 1        |
+-----------------------+----------+
| onx_size              | 5383     |
+-----------------------+----------+
| onx_nnodes            | 32       |
+-----------------------+----------+
| onx_ninits            | 7        |
+-----------------------+----------+
| 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_                  | 17       |
+-----------------------+----------+
| onx_ai.onnx.ml        | 1        |
+-----------------------+----------+
| onx_op_Cast           | 3        |
+-----------------------+----------+
| onx_op_Reshape        | 2        |
+-----------------------+----------+
| onx_subgraphs         | 1        |
+-----------------------+----------+
| onx_op_Identity       | 2        |
+-----------------------+----------+
| onx_op_Identity_optim | 1        |
+-----------------------+----------+
| onx_subgraphs_optim   | 1        |
+-----------------------+----------+
| onx_size_optim        | 5306     |
+-----------------------+----------+
| onx_nnodes_optim      | 31       |
+-----------------------+----------+
| onx_ninits_optim      | 7        |
+-----------------------+----------+
| fit__fit_X.shape      | (112, 4) |
+-----------------------+----------+


.. gdot::

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        B_cdistdf_14_reduced0 -> B_cdistdf_14_Identity;
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      X -> B_next_in;
      Sc_Scancst -> B_next;
      B_next_out -> UU026UU;
      B_scan_out -> UU027UU;
      Sc_Scan -> B_cdistd_14_Identity [lhead=cluster_Scan139904447611808_139908381009904];
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      Sc_Scancst -> Sc_Scan;
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      cond_transposed0 -> cond_Sqrt;
      cond_Sqrt -> cond_Y0;

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      cond_Y0 -> arange_Shape;
      arange_Shape -> arange_shape0;

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      cond_Less [shape=box style="filled,rounded" color=orange label="Less\n(cond_Less)" fontsize=10];
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      norm_ReduceSum -> norm_reduced0;

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      Re_Reshapecst -> Re_Reshape;
      Re_Reshape -> Re_reshaped0;

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      arange_Neg [shape=box style="filled,rounded" color=orange label="Neg\n(arange_Neg)" fontsize=10];
      arange_y0 -> arange_Neg;
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      arange_Add [shape=box style="filled,rounded" color=orange label="Add\n(arange_Add)" fontsize=10];
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      cond_C0 -> nnind_Where;
      arange_C0 -> nnind_Where;
      arange_output0 -> nnind_Where;
      nnind_Where -> nnind_output0;

      knny_output0 [shape=box label="knny_output0" fontsize=10];
      knny_Flatten [shape=box style="filled,rounded" color=orange label="Flatten\n(knny_Flatten)" fontsize=10];
      nnind_output0 -> knny_Flatten;
      knny_Flatten -> knny_output0;

      knny_Z0 [shape=box label="knny_Z0" fontsize=10];
      knny_ArrayFeatureExtractor [shape=box style="filled,rounded" color=orange label="ArrayFeatureExtractor\n(knny_ArrayFeatureExtractor)" fontsize=10];
      knny_ArrayFeatureExtractorcst -> knny_ArrayFeatureExtractor;
      knny_output0 -> knny_ArrayFeatureExtractor;
      knny_ArrayFeatureExtractor -> knny_Z0;

      knny_reshaped0 [shape=box label="knny_reshaped0" fontsize=10];
      knny_Reshape [shape=box style="filled,rounded" color=orange label="Reshape\n(knny_Reshape)\nallowzero=0" fontsize=10];
      knny_Z0 -> knny_Reshape;
      knny_Reshapecst -> knny_Reshape;
      knny_Reshape -> knny_reshaped0;

      knny_transposed0 [shape=box label="knny_transposed0" fontsize=10];
      knny_Transpose [shape=box style="filled,rounded" color=orange label="Transpose\n(knny_Transpose)\nperm=[1 0 2]" fontsize=10];
      knny_reshaped0 -> knny_Transpose;
      knny_Transpose -> knny_transposed0;

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      knny_transposed0 -> Ca_Cast;
      Ca_Cast -> Ca_output0;

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      Tr_Transpose [shape=box style="filled,rounded" color=orange label="Transpose\n(Tr_Transpose)\nperm=[1 0 2]" fontsize=10];
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      nnbin_output0 -> Mu_Mul;
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      Sh_shape0 -> Co_ConstantOfShape;
      Co_ConstantOfShape -> Co_output0;

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      Wh_Where [shape=box style="filled,rounded" color=orange label="Where\n(Wh_Where)" fontsize=10];
      Is_Y0 -> Wh_Where;
      Co_output0 -> Wh_Where;
      Tr_transposed0 -> Wh_Where;
      Wh_Where -> Wh_output0;

      Re_reduced0 [shape=box label="Re_reduced0" fontsize=10];
      Re_ReduceSum [shape=box style="filled,rounded" color=orange label="ReduceSum\n(Re_ReduceSum)\nkeepdims=0" fontsize=10];
      Wh_output0 -> Re_ReduceSum;
      Re_ReduceSumcst -> Re_ReduceSum;
      Re_ReduceSum -> Re_reduced0;

      Di_Div [shape=box style="filled,rounded" color=orange label="Div\n(Di_Div)" fontsize=10];
      Re_reduced0 -> Di_Div;
      Re_reshaped0 -> Di_Div;
      Di_Div -> variable;
    }