8000 [MRG] fix docstring multitask (lasso, etc.) by josephsalmon · Pull Request #8473 · scikit-learn/scikit-learn · GitHub
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[MRG] fix docstring multitask (lasso, etc.) #8473

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Mar 2, 2017
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[MRG] fix docstring multitask (lasso, etc.) #8473

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8 changes: 6 additions & 2 deletions sklearn/linear_model/coordinate_descent.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1611,7 +1611,8 @@ class MultiTaskElasticNet(Lasso):

coef_ : array, shape (n_tasks, n_features)
Parameter vector (W in the cost function formula). If a 1D y is \
passed in at fit (non multi-task usage), ``coef_`` is then a 1D array
passed in at fit (non multi-task usage), ``coef_`` is then a 1D array.
Note that ``coef_`` stores the transpose of ``W``, ``W.T``.

n_iter_ : int
number of iterations run by the coordinate descent solver to reach
Expand Down Expand Up @@ -1792,7 +1793,8 @@ class MultiTaskLasso(MultiTaskElasticNet):
Attributes
----------
coef_ : array, shape (n_tasks, n_features)
parameter vector (W in the cost function formula)
Parameter vector (W in the cost function formula).
Note that ``coef_`` stores the transpose of ``W``, ``W.T``.

intercept_ : array, shape (n_tasks,)
independent term in decision function.
Expand Down Expand Up @@ -1950,6 +1952,7 @@ class MultiTaskElasticNetCV(LinearModelCV, RegressorMixin):

coef_ : array, shape (n_tasks, n_features)
Parameter vector (W in the cost function formula).
Note that ``coef_`` stores the transpose of ``W``, ``W.T``.

alpha_ : float
The amount of penalization chosen by cross validation
Expand Down Expand Up @@ -2115,6 +2118,7 @@ class MultiTaskLassoCV(LinearModelCV, RegressorMixin):

coef_ : array, shape (n_tasks, n_features)
Parameter vector (W in the cost function formula).
Note that ``coef_`` stores the transpose of ``W``, ``W.T``.

alpha_ : float
The amount of penalization chosen by cross validation
Expand Down
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