.. _l-MultiOutputRegressor-m-reg-linreg--o17:

MultiOutputRegressor - m-reg - linreg - 
========================================

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


::

        MultiOutputRegressor(estimator=LinearRegression(), n_jobs=8)

+---------------------------------+----------+
| index                           | 0        |
+=================================+==========+
| skl_nop                         | 3        |
+---------------------------------+----------+
| skl_ncoef                       | 8        |
+---------------------------------+----------+
| skl_nlin                        | 2        |
+---------------------------------+----------+
| onx_size                        | 665      |
+---------------------------------+----------+
| onx_nnodes                      | 5        |
+---------------------------------+----------+
| onx_ninits                      | 1        |
+---------------------------------+----------+
| 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_op_Reshape                  | 2        |
+---------------------------------+----------+
| onx_size_optim                  | 665      |
+---------------------------------+----------+
| onx_nnodes_optim                | 5        |
+---------------------------------+----------+
| onx_ninits_optim                | 1        |
+---------------------------------+----------+
| fit_estimators_.size            | 2        |
+---------------------------------+----------+
| fit_estimators_.coef_.shape     | 4        |
+---------------------------------+----------+
| fit_estimators_.singular_.shape | 4        |
+---------------------------------+----------+


.. gdot::

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

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

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

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

      variable1 [shape=box label="variable1" fontsize=10];
      LinearRegressor [shape=box style="filled,rounded" color=orange label="LinearRegressor\n(LinearRegressor)\ncoefficients=[-0.19476996  0.04...\nintercepts=[0.17583406]" fontsize=10];
      X -> LinearRegressor;
      LinearRegressor -> variable1;

      variable2 [shape=box label="variable2" fontsize=10];
      LinearRegressor1 [shape=box style="filled,rounded" color=orange label="LinearRegressor\n(LinearRegressor1)\ncoefficients=[-0.19476973  0.04...\nintercepts=[0.67583275]" fontsize=10];
      X -> LinearRegressor1;
      LinearRegressor1 -> variable2;

      Re_reshaped02 [shape=box label="Re_reshaped02" fontsize=10];
      Re_Reshape1 [shape=box style="filled,rounded" color=orange label="Reshape\n(Re_Reshape1)\nallowzero=0" fontsize=10];
      variable2 -> Re_Reshape1;
      Re_Reshapecst -> Re_Reshape1;
      Re_Reshape1 -> Re_reshaped02;

      Re_reshaped0 [shape=box label="Re_reshaped0" fontsize=10];
      Re_Reshape [shape=box style="filled,rounded" color=orange label="Reshape\n(Re_Reshape)\nallowzero=0" fontsize=10];
      variable1 -> Re_Reshape;
      Re_Reshapecst -> Re_Reshape;
      Re_Reshape -> Re_reshaped0;

      Co_Concat [shape=box style="filled,rounded" color=orange label="Concat\n(Co_Concat)\naxis=1" fontsize=10];
      Re_reshaped0 -> Co_Concat;
      Re_reshaped02 -> Co_Concat;
      Co_Concat -> variable;
    }