.. _l-RidgeCV-~m-reg-64-default--o17:

RidgeCV - ~m-reg-64 - default - 
================================

Fitted on a problem type *~m-reg-64*
(see :func:`find_suitable_problem
<mlprodict.onnxrt.validate.validate_problems.find_suitable_problem>`),
method `predict` matches output .


::

        RidgeCV()

+-----------------------+----------+
| index                 | 0        |
+=======================+==========+
| skl_nop               | 1        |
+-----------------------+----------+
| skl_ncoef             | 2        |
+-----------------------+----------+
| skl_nlin              | 1        |
+-----------------------+----------+
| onx_size              | 396      |
+-----------------------+----------+
| onx_nnodes            | 3        |
+-----------------------+----------+
| onx_ninits            | 3        |
+-----------------------+----------+
| 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_                  | 13       |
+-----------------------+----------+
| onx_op_Reshape        | 1        |
+-----------------------+----------+
| onx_size_optim        | 396      |
+-----------------------+----------+
| onx_nnodes_optim      | 3        |
+-----------------------+----------+
| onx_ninits_optim      | 3        |
+-----------------------+----------+
| fit_alpha_.shape      | 1        |
+-----------------------+----------+
| fit_best_score_.shape | 1        |
+-----------------------+----------+
| fit_coef_.shape       | (2, 4)   |
+-----------------------+----------+
| fit_intercept_.shape  | 2        |
+-----------------------+----------+


.. gdot::

        digraph{
      size=7;
      ranksep=0.25;
      nodesep=0.05;
      orientation=portrait;

      X [shape=box color=red label="X\ndouble((0, 4))" fontsize=10];

      variable [shape=box color=green label="variable\ndouble((0, 2))" fontsize=10];

      coef [shape=box label="coef\nfloat64((4, 2))\n[[-0.17899975 -0.17899975]\n [ 0.04045039  0.04045039]\n [ 0.50348715  0.50348715]\n [ 0.57766075  0.57766075]]" fontsize=10];
      intercept [shape=box label="intercept\nfloat64((2,))\n[0.13685446 0.63685446]" fontsize=10];
      shape_tensor [shape=box label="shape_tensor\nint64((2,))\n[-1  2]" fontsize=10];

      multiplied [shape=box label="multiplied" fontsize=10];
      MatMul [shape=box style="filled,rounded" color=orange label="MatMul\n(MatMul)" fontsize=10];
      X -> MatMul;
      coef -> MatMul;
      MatMul -> multiplied;

      resh [shape=box label="resh" fontsize=10];
      Add [shape=box style="filled,rounded" color=orange label="Add\n(Add)" fontsize=10];
      multiplied -> Add;
      intercept -> Add;
      Add -> resh;

      Reshape [shape=box style="filled,rounded" color=orange label="Reshape\n(Reshape)" fontsize=10];
      resh -> Reshape;
      shape_tensor -> Reshape;
      Reshape -> variable;
    }