v0.0.3

Improvements

• Last_timestamps option for leave_k_out split
• Create matrix_split variant
• Improve leave_k_out split performance by using raw identifiers instead of assigning and using internal identifiers
• Move split methods location from DRecPy.Evaluation to DRecPy.Evaluation.Splits
• Move evaluation processes location from DRecPy.Evaluation to DRecPy.Evaluation.Processes
• Improve select_one() performance for in-memory interaction dataset instances
• Add CDAE support for custom losses and support for sampling data points based on neg_ratio parameter
• Improve CDAE ranking speed
• Add epoch callback results to the training progress bar
• Improve evaluation processes multithreading performance to be 15% faster in the average case
• Improve defaults of evaluation processes
• Add recommendation_evaluation process
• Add novelty argument for the ranking and recommendation evaluation processes

Bugfixes

• Fix predictive evaluation bug when evaluating the performance on the training set
• Fix ranking evaluation n_neg_interactions bounds check
• Fix ranking evaluation repeated generated items on the negative interactions list

Others

• Improve existing examples
• Add consistency evaluation scripts
• Improve README.md and relevant documentation
• Complete tests for the dataset module, evaluation module, and recommender baselines
• Add integration with Travis CI