treefit.fit.Fit

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

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

n_principal_paths_candidates

The candidates of the number of principal paths.

Type

[int]

__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.