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abhinavsagarjnothman
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DOC Fixed documentation typos (scikit-learn#13993)
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sklearn/ensemble/partial_dependence.py

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@@ -100,11 +100,11 @@ def partial_dependence(gbrt, target_variables, grid=None, X=None,
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gbrt : BaseGradientBoosting
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A fitted gradient boosting model.
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target_variables : array-like, dtype=int
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The target features for which the partial dependecy should be
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The target features for which the partial dependency should be
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computed (size should be smaller than 3 for visual renderings).
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grid : array-like, shape=(n_points, len(target_variables))
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The grid of ``target_variables`` values for which the
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partial dependecy should be evaluated (either ``grid`` or ``X``
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partial dependency should be evaluated (either ``grid`` or ``X``
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must be specified).
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X : array-like, shape=(n_samples, n_features)
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The data on which ``gbrt`` was trained. It is used to generate

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