AdvancedFeatureSystem#

class tangles.separations.AdvancedFeatureSystem(data_size: int, capacity: int = 1)#

Methods

`__getitem__()`	Get the feature or features as a matrix of indicator column vectors
`add_corner()`	Calculate the infimum of two features from the feature system and add this infimum as a
`add_features()`	Add features to the feature system
`add_seps()`	Add separations to the separation system
`all_feature_ids()`	Returns
`all_sep_ids()`	Returns
`assemble_meta_info()`	If the user has entered custom meta info for a feature, then that is prioritised before everything else
`compute_infimum()`	Calculate the infimum of a list of separation ids and orientations
`copy()`	create a copy of this fesature system
`count_big_side()`	Count the number of data points on the big (positive) side of the given separation
`crossing_seps()`	Generator to get all crossing separations from the list of separations
`feature_and_complement_size()`	Returns
`feature_metadata()`	Return a list of all metadata of the feature feature_id
`feature_size()`	Returns
`get_corners()`	Calculate the four corners of two features in the feature system
`get_feature_ids()`	If the advanced features or their inverses are already contained in the advanced feature system then return the
`get_sep_ids()`	If the separations are already contained inside of the separation system then return the
`is_le()`	Check if feature \(a\) specified by feat_id_a is less than or equal to feature \(b\) specified by feat_id_b,
`is_nested()`	Check whether two features are nested
`is_subset()`	Check if the feature feat_id_a is a subset of the feature feat_id_b
`metadata_matrix()`	Explain the meaning of a feature, generated by repeatedly taking corners of features,
`separation_metadata()`	Returns the metadata of the separation sep_id
`side_counts()`	Count the number of data points on each side of the separation
`with_array()`	Create a new SetSeparationSystem from a separation matrix
`with_sparse_array()`	Create a new SetSeparationSystem from a sparse separation matrix