Release 0.6.2

The release introduces some performance improvements, extends evaluation metrics and adds new functionality:

New features and convenience functions

• new metric named coverage;
• support for LightFM model;
• new set_config method, which allows to more easily set desired configuration to a model during grid search experiments;

Performance improvements

• tensor-times-matrix products in the Tucker Decomposition can now be computed in parallel;

Other improvements

• more convenient routine to build one-hot encoding matrix from feature data;
• additional tuning parameter for iALS model;
• more flexible handling of input arguments in plotting functions;
• improved MyMediaLite wrapper + removed some inconsistencies.