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1 parent e669f87 commit 9795916Copy full SHA for 9795916
sklearn/linear_model/least_angle.py
@@ -63,7 +63,7 @@ def lars_path(X, y, Xy=None, Gram=None, max_iter=500,
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When using this option together with method 'lasso' the model
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coefficients will not converge to the ordinary-least-squares solution
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for small values of alpha (neither will they when using method 'lar'
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- ..). Only coeffiencts up to the smallest alpha value (``alphas_[alphas_ >
+ ..). Only coefficients up to the smallest alpha value (``alphas_[alphas_ >
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0.].min()`` when fit_path=True) reached by the stepwise Lars-Lasso
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algorithm are typically in congruence with the solution of the
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coordinate descent lasso_path function.
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