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doc/tutorial/statistical_inference/supervised_learning.rst

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@@ -341,7 +341,7 @@ application of Occam's razor: *prefer simpler models*.
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solves the lasso regression problem using a
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`coordinate descent <https://en.wikipedia.org/wiki/Coordinate_descent>`_ method,
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that is efficient on large datasets. However, scikit-learn also
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provides the :class:`LassoLars` object using the *LARS* algorthm,
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provides the :class:`LassoLars` object using the *LARS* algorithm,
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which is very efficient for problems in which the weight vector estimated
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is very sparse (i.e. problems with very few observations).
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