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docs/source/independence_tests_index/fisherz.rst

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**data**: numpy.ndarray, shape (n_samples, n_features). Data, where n_samples is the number of samples
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and n_features is the number of features.
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**X, Y and condition_set**: column indices of datay.
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**X, Y and condition_set**: column indices of data.
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**correlation_matrix**: correlation matrix; None means without the parameter of correlation matrix.
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docs/source/independence_tests_index/gsq.rst

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**data**: numpy.ndarray, shape (n_samples, n_features). Data, where n_samples is the number of samples
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and n_features is the number of features.
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**X, Y and condition_set**: column indices of datay.
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**X, Y and condition_set**: column indices of data.
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**G_sq**: True means using G-Square test; False means using Chi-Square test.
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