10000 fix lars Xy docs by adienes · Pull Request #25952 · scikit-learn/scikit-learn · GitHub
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fix lars Xy docs #25952

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Mar 24, 2023
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fix lars Xy docs #25952

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8 changes: 4 additions & 4 deletions sklearn/linear_model/_least_angle.py
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Original file line number Diff line number Diff line change
Expand Up @@ -69,7 +69,7 @@ def lars_path(
y : None or array-like of shape (n_samples,)
Input targets.

Xy : array-like of shape (n_samples,) or (n_samples, n_targets), \
Xy : array-like of shape (n_features,) or (n_features, n_targets), \
default=None
`Xy = np.dot(X.T, y)` that can be precomputed. It is useful
only when the Gram matrix is precomputed.
Expand Down Expand Up @@ -215,7 +215,7 @@ def lars_path_gram(

Parameters
----------
Xy : array-like of shape (n_samples,) or (n_samples, n_targets)
Xy : array-like of shape (n_features,) or (n_features, n_targets)
Xy = np.dot(X.T, y).

Gram : array-like of shape (n_features, n_features)
Expand Down Expand Up @@ -362,7 +362,7 @@ def _lars_path_solver(
y : None or ndarray of shape (n_samples,)
Input targets.

Xy : array-like of shape (n_samples,) or (n_samples, n_targets), \
Xy : array-like of shape (n_features,) or (n_features, n_targets), \
default=None
`Xy = np.dot(X.T, y)` that can be precomputed. It is useful
only when the Gram matrix is precomputed.
Expand Down Expand Up @@ -1110,7 +1110,7 @@ def fit(self, X, y, Xy=None):
y : array-like of shape (n_samples,) or (n_samples, n_targets)
Target values.

Xy : array-like of shape (n_samples,) or (n_samples, n_targets), \
Xy : array-like of shape (n_features,) or (n_features, n_targets), \
default=None
Xy = np.dot(X.T, y) that can be precomputed. It is useful
only when the Gram matrix is precomputed.
Expand Down
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