ItemSimilarityRecommender.summary(self, output=None)

Print a summary of the model. The summary includes a description of training data, options, hyper-parameters, and statistics measured during model creation.

output : str, None

The type of summary to return.

  • None or ‘stdout’ : print directly to stdout.
  • ‘str’ : string of summary
  • ‘dict’ : a dict with ‘sections’ and ‘section_titles’ ordered lists. The entries in the ‘sections’ list are tuples of the form (‘label’, ‘value’).


>>> m.summary()