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2 changes: 1 addition & 1 deletion doc/tutorial/statistical_inference/supervised_learning.rst
Original file line number Diff line number Diff line change
Expand Up @@ -341,7 +341,7 @@ application of Occam's razor: *prefer simpler models*.
solves the lasso regression problem using a
`coordinate descent <https://en.wikipedia.org/wiki/Coordinate_descent>`_ method,
that is efficient on large datasets. However, scikit-learn also
provides the :class:`LassoLars` object using the *LARS* algorthm,
provides the :class:`LassoLars` object using the *LARS* algorithm,
which is very efficient for problems in which the weight vector estimated
is very sparse (i.e. problems with very few observations).

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