.. _l-LassoLarsIC-~b-reg-64-default--o17:

LassoLarsIC - ~b-reg-64 - default - 
====================================

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 .


::

        LassoLarsIC()

+---------------------------+----------+
| index                     | 0        |
+===========================+==========+
| skl_nop                   | 1        |
+---------------------------+----------+
| skl_ncoef                 | 4        |
+---------------------------+----------+
| skl_nlin                  | 1        |
+---------------------------+----------+
| onx_size                  | 360      |
+---------------------------+----------+
| 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            | 360      |
+---------------------------+----------+
| onx_nnodes_optim          | 3        |
+---------------------------+----------+
| onx_ninits_optim          | 3        |
+---------------------------+----------+
| fit_alphas_.shape         | 5        |
+---------------------------+----------+
| fit_noise_variance_.shape | 1        |
+---------------------------+----------+
| fit_criterion_.shape      | 5        |
+---------------------------+----------+
| fit_alpha_.shape          | 1        |
+---------------------------+----------+
| fit_coef_.shape           | 4        |
+---------------------------+----------+
| fit_intercept_.shape      | 1        |
+---------------------------+----------+


.. 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, 1))" fontsize=10];

      coef [shape=box label="coef\nfloat64((4, 1))\n[[-0.14164775]\n [ 0.        ]\n [ 0.4842943 ]\n [ 0.57851339]]" fontsize=10];
      intercept [shape=box label="intercept\nfloat64((1,))\n[0.11037429]" fontsize=10];
      shape_tensor [shape=box label="shape_tensor\nint64((2,))\n[-1  1]" 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;
    }