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DOC more minor fixes
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doc/modules/pipeline.rst

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@@ -14,7 +14,7 @@ and classification. :class:`Pipeline` serves two purposes here:
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**Convenience**: You only have to call ``fit`` and ``predict`` once on your
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data to fit a whole sequence of estimators.
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**Joint parameter selection**: You can :ref:`grid_search <grid search>`
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**Joint parameter selection**: You can :ref:`grid search <grid_search>`
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over parameters of all estimators in the pipeline at once.
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For estimators to be usable within a pipeline, all except the last one need to have

doc/tutorial/statistical_inference/supervised_learning.rst

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@@ -334,6 +334,7 @@ application of Occam's razor: `prefer simpler models`.
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-187.19554705 69.38229038 508.66011217 71.84239008]
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.. topic:: **Different algorithms for a same problem**
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Different algorithms can be used to solve the same mathematical
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problem. For instance the `Lasso` object in the `scikit-learn`
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solves the lasso regression using a

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