Cornac 1.6.0

New features

• Add Mean Average Precision (MAP) metric (#338)

Cornac 1.5.2

New improvements

• Fix bug in graph modality (#333)
• Update models to support clone function (#334)
• Add lambda_reg argument for NMF model (#335)
• Use tqdm.auto for multiple environment compatibility (#336)

Cornac 1.5.1

New improvements

• Improve the efficiency of KNN methods (#331)
• Use tqdm.auto for compatibility on Jupyter notebook env (#332)

Cornac 1.5.0

New models

• MTER model is faster with Cython (#320)
• Neighborhood-based methods (UserKNN and ItemKNN) (#329)

Cornac 1.4.1

New features and improvements

• Refactor code in examples (#317)
• CI tools support Python 3.7
• Update and test all tutorials and examples

Cornac 1.4.0

New models and datasets

• Weighted Bayesian Personalized Ranking (WBPR) model (#309)
• Maximum Margin Matrix Factorization (MMMF) model (#310)

New features and improvements

• Reset random number generator for reproducibility (#301)
• Fix issue in NCRR metric (#313)
• Use C++ Boost Random library for reproducibility across platforms (#315)
• Support model saving and loading (#316)

Cornac 1.3.1

New features and improvements

• Add default attributes total_users and total_items to Dataset (#300)

Cornac 1.3.0

New models and datasets

• MovieLens 10M and 20M datasets (#291)

New features and improvements

• Standardize datasets load_feedback() API (#278)
• Add hyperopt for hyper-parameter tuning (#286)
• Show validation results (optional) if exists (#289)
• Update Recommender.rank() to support unknown item scores (#283)
• Support multiple values of K for ranking metrics (#297)
• Tutorial on how to work with auxiliary data (#264)
• Tutorial on hyperparameter search for VAECF (#290)
• Examples for VAECF, VMF, and SoRec (#272, #276, #287)

Cornac 1.2.2

New features and improvements

• Add FilmTrust dataset (#266)
• Update MCF, C2PF, and SoRec models for the compatibility (#261, #262)
• Support retrieving node degree in GraphModality (#267)

Cornac 1.2.1

New features and improvements

• Support UIRT data format (#252)
• Fix bug in AUC metric (#256)
• Tutorial on contributing an evaluation metric (#258)