TELF.post_processing.SeaLion: Generic report generation tool#

Generic report generation tool.

Available Functions#

`SeaLion.__init__`([save_path, X, W, S, H, ...])
`SeaLion.__call__`()	Call self as a function.
`SeaLion.get_factorization_results`([...])
`SeaLion.get_W_correlation`()
`SeaLion.get_H_correlation`()
`SeaLion.get_S_mixing_patterns`()
`SeaLion.get_H_clustering`()
`SeaLion.get_words_probabilities`()
`SeaLion.get_wordclouds`()
`SeaLion.get_W_plot`()
`SeaLion.get_W_UMAP`([args])
`SeaLion.get_original_data`()
`SeaLion.get_X_tilda`()
`SeaLion.get_recommendations`()
`SeaLion.get_masked_recommendations`()
`SeaLion.get_recommendations_graph`()

Module Contents#

class TELF.post_processing.SeaLion.sealion.SeaLion(save_path='SeaLion/', X=None, W=None, S=None, H=None, bu=None, bi=None, global_mean=0, figsize1=None, figsize2=None, rows=None, cols=None, rows_name='Features', cols_name='Samples', num_top_words=50, edge_weight_multiplier=1, num_top_recommendations=30, recommend_probabilities=False, factorization_paths=[], UNKNOWN_MASK=None, KNOWN_MASK=None, verbose=True)[source]#

Bases: object

get_H_clustering()[source]#

get_H_correlation()[source]#

get_S_mixing_patterns()[source]#

get_W_UMAP(args={})[source]#

get_W_correlation()[source]#

get_W_plot()[source]#

get_X_tilda()[source]#

get_factorization_results(factorization_name='factorization')[source]#

get_masked_recommendations()[source]#

get_original_data()[source]#

get_recommendations()[source]#

get_recommendations_graph()[source]#

get_wordclouds()[source]#

get_words_probabilities()[source]#