@@ -1082,24 +1082,24 @@ class RollingWindow(object):
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Parameters
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----------
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n : int
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- Total number of elements in the dataset.
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+ Total number of elements in the dataset.
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test_size : float, int (default is 1)
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- If float, should be between 0.0 and 1.0 and represent the
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- proportion of the dataset to include in the test split. If
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- int, Represents the absolute number of test samples.
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+ If float, should be between 0.0 and 1.0 and represent the
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+ proportion of the dataset to include in the test split. If
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+ int, Represents the absolute number of test samples.
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train_size : float, int, or None (default is None)
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- If float, should be between 0.0 and 1.0 and represent the
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- proportion of the dataset to include in the test split. If
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- int, represents the absolute number of test samples. If None,
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- the train size grows progressively.
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+ If float, should be between 0.0 and 1.0 and represent the
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+ proportion of the dataset to include in the test split. If
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+ int, represents the absolute number of test samples. If None,
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+ the train size grows progressively.
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delay : int (default is 0)
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- Delay between the train and the test sets.
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+ Delay between the train and the test sets.
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step : float, int, or None (default is None)
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- Increment. If None, step is set equal to test_size.
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+ Increment. If None, step is set equal to test_size.
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Examples
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--------
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