treefit.fit.Fit¶
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class
treefit.fit.Fit(name, max_cca_distance, rms_cca_distance, n_principal_paths_candidates)[source]¶ The estimated result of
treefit.treefit().-
max_cca_distance¶ The result of max canonical correlation analysis distance.
It has the following columns:
p: Dimensionality of the feature space of tree structures.mean: The mean of the target distance values.standard_deviation: The standard deviation of the target distance values.
- Type
pandas.DataFrame
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rms_cca_distance¶ The result of root mean square canonical correlation analysis distance.
This has the same columns as
max_cca_distance.- Type
pandas.DataFrame
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n_principal_paths_candidates¶ The candidates of the number of principal paths.
- Type
[int]
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__init__(name, max_cca_distance, rms_cca_distance, n_principal_paths_candidates)[source]¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__(name, max_cca_distance, …)Initialize self.
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