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‎sklearn/inspection/_partial_dependence.py

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@@ -327,9 +327,11 @@ def partial_dependence(
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.. versionadded:: 0.24
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custom_values: dict
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A dictionary mapping the index of an element of `features` to an array of values where
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the partial dependence should be calculated for that feature. Setting a range
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of values for a feature overrides `grid_resolution` and `percentiles`.
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A dictionary mapping the index of an element of `features` to an array
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of values where the partial dependence should be calculated
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for that feature. Setting a range of values for a feature overrides
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`grid_resolution` and `percentiles`.
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Returns
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-------
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predictions : :class:`~sklearn.utils.Bunch`

‎sklearn/inspection/_plot/partial_dependence.py

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@@ -265,9 +265,10 @@ def plot_partial_dependence(
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.. versionadded:: 0.24
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custom_values: dict
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A dictionary mapping the index of an element of `features` to an array of values where
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the partial dependence should be calculated for that feature. Setting a range
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of values for a feature overrides `grid_resolution` and `percentiles`.
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A dictionary mapping the index of an element of `features` to an
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array of values where the partial dependence should be calculated
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for that feature. Setting a range of values for a feature overrides
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`grid_resolution` and `percentiles`.
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Returns
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-------
@@ -900,9 +901,10 @@ def from_estimator(
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See :term:`Glossary <random_state>` for details.
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custom_values : dict
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A dictionary mapping the index of an element of `features` to an 6968 array of values where
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the partial dependence should be calculated for that feature. Setting a range
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of values for a feature overrides `grid_resolution` and `percentiles`.
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A dictionary mapping the index of an element of `features` to an
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array of values where the partial dependence should be calculated
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for that feature. Setting a range of values for a feature overrides
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`grid_resolution` and `percentiles`.
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Returns
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-------

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