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* Improved printing of accuracy measures. | ||
* Added version number. | ||
* Rewrote the the __main__.py | ||
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VERSION 0.0.4 | ||
============= | ||
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Date: 15/11/16 | ||
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Enhancements | ||
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* Added notebooks for comparing and evaluating algorithm performances | ||
* Better use of setup.py | ||
* Added a min_support parameter to the similarity measures. | ||
* Added a min_k parameter to the KNN algorithms. | ||
* The similarity matrix and baselines are now returned. | ||
* You can now train on a whole training set without test set. | ||
* The estimate method can return a tuple with prediction details. | ||
* Added SVD and SVD++ algorithms. | ||
* Removed all the x/y vs user/item stuff. That was useless for most algorithms. | ||
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API Changes | ||
----------- | ||
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* Removed the @property decorator of for many iterators. | ||
* It's now up to the algorithms to decide if they can or cannot make a | ||
prediction. | ||
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VERSION 0.0.3 | ||
============= | ||
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Date: 25/10/16 | ||
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* Added support for Python 2 |