Releases: PreferredAI/cornac
Releases · PreferredAI/cornac
Cornac 1.4.1
12 Feb 06:14
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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
06 Feb 04:25
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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
28 Jan 05:47
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New features and improvements
Add default attributes total_users and total_items to Dataset (#300 )
Cornac 1.3.0
23 Jan 08:31
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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
29 Nov 11:43
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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
11 Nov 11:17
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New features and improvements
Support UIRT data format (#252 )
Fix bug in AUC metric (#256 )
Tutorial on contributing an evaluation metric (#258 )
Cornac 1.2.0
26 Sep 07:05
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New models
Multi-Task Explainable Recommendation (MTER) (#238 )
Most Popular (MostPop) ranking baseline (#244 )
Global Average (GlobalAvg) rating baseline (#245 )
New features and improvements
Update VAECF model (#237 )
normalize() function in utils (#248 )
TfidfVectorizer in TextModality (#249 )
Cornac 1.1.2
18 Sep 14:35
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New features and improvements
Improve documentation of models (#239 )
Update BPR model with removing scaling in score() function (#240 )
Cornac 1.1.1
16 Sep 09:40
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New features and improvements
Fix bug of list multiplication in ranking_eval() function (#236 )
Cornac 1.1.0
14 Sep 04:24
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New models
Explicit Factor Model (EFM) (#181 )
New features and improvements
Rename model CF to WMF (#226 )
Remove usage of old Dataset from IBPR model (#227 )
Use Cornac's mini-batch iterator in PCRL (#229 )
Support early stopping for GMF, MLP, and NeuMF (#233 )
Support item negative sampling based on popularity (#228 )
Remove data_utils.py (#230 )
Add Amazon Toys and Games dataset (#179 )
Add Sentiment Modality (#180 )
Add binary argument into uir_iter() (#231
Move rating and ranking eval functions out for reuse (#232 )