src.fairreckitlib.model.algorithms.surprise

This package contains functionality for predictors/recommenders of the Surprise package.

Modules:

surprise_algorithms: name constants for implemented algorithms.
surprise_factory: create predictor/recommender factory.
surprise_params: create config parameters for implemented algorithms.
surprise_predictor: class for predictor implementation and creation functions.
surprise_recommender: top k predictor wrappers to be used as recommenders.

This program has been developed by students from the bachelor Computer Science at Utrecht University within the Software Project course. © Copyright Utrecht University (Department of Information and Computing Sciences)

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 1"""This package contains functionality for predictors/recommenders of the Surprise package.
 2
 3Modules:
 4
 5    surprise_algorithms: name constants for implemented algorithms.
 6    surprise_factory: create predictor/recommender factory.
 7    surprise_params: create config parameters for implemented algorithms.
 8    surprise_predictor: class for predictor implementation and creation functions.
 9    surprise_recommender: top k predictor wrappers to be used as recommenders.
10
11This program has been developed by students from the bachelor Computer Science at
12Utrecht University within the Software Project course.
13© Copyright Utrecht University (Department of Information and Computing Sciences)
14"""