Fixes problems with BaseEstimator class deprecated import _set_param and Implements a hybrid method combining Collaborative Filtering and Global Baseline estimates to deal with cold start

muricoca / crab

Crab is a ﬂexible, fast recommender engine for Python that integrates classic information ﬁltering recommendation algorithms in the world of scientiﬁc Python packages (numpy, scipy, matplotlib).

http://muricoca.github.com/crab

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Fixes problems with BaseEstimator class deprecated import _set_param and Implements a hybrid method combining Collaborative Filtering and Global Baseline estimates to deal with cold start #104

Open gabrielspmoreira opened 9 years ago

gabrielspmoreira commented 9 years ago

Fixes problems with BaseEstimator class deprecated import (scikits.learn.base) (Issue #90 ) and _set_param renamed method (Issue #94 ) making it compatible to the last stable scikit-learn version '0.15.2'
Implemented a hybrid method to combine Collaborative Filtering with Global Baseline estimates (based on users and items average preference), to deal with users and items cold start, inspired on Implementing Collaborative Filtering class from Coursera Mining Massive Datasets course.