Cornac 1.2.0

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

New features and improvements

• Improve documentation of models (#239)
• Update BPR model with removing scaling in score() function (#240)

Cornac 1.1.1

New features and improvements

• Fix bug of list multiplication in ranking_eval() function (#236)

Cornac 1.1.0

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)

Cornac 1.0.0

New models

• Neural Matrix Factorization (NeuMF) / Neural Collaborative Filtering (NCF) (#215)
• Generalized Matrix Factorization (GMF) (#216)
• Multi-Layer Perceptron (MLP) (#217)

New features and improvements

• Update VAECF model (#213)
• Add num_zeros argument into Dataset.uir_iter() to support negative sampling (#214)
• Add val_set into fit() function for model selection (#219)
• Support early stopping in Recommender (#220)
• Fix bug in read_text() function of reader (#221)
• Unify TrainSet and TestSet into single object Dataset (#222)
• Optimize evaluate() function in BaseMethod (#223)
• Dataset checks duplicate observations independently (#224)

Cornac 0.3.5

New models

• Baseline Only (#208)
• Singular Value Decomposition (SVD) (#207)

New features and improvements

• Remove shuffle option in RatioSplit (#209)
• Fix bug of binarizing rating values in Reader (#211)
• Add UITup data format to Reader (#212)

Cornac 0.3.4

New models

• Non-negative Matrix Factorization (NMF) (#204)

New features and improvements

• Tutorial on cross-modality from Text to Graph (#199)
• Tutorial on cross-modality from Text to Image (#195)
• Input data to Modality left unchanged (#205)

Cornac 0.3.3

New features and improvements

• Add random seed to BaseMethod used for all evaluation methods (#198)
• Add random seed to MatrixTrainSet for reproducing data sampling (#202)
• Update BPR, SBPR, and MF models to use single-thread when the random seed is specified (#200, #201)

Cornac 0.3.2

New models

• Hidden Factors and Hidden Topics (HFT) (#196)

New features and improvements

• Amazon Clothing dataset (#197)
• CountVectorizer updated with vocab conditions (#193)

Cornac 0.3.1

New features and improvements

• Rename Module to Modality
• Add a tutorial for adding a new model into Cornac
• Reorder the list of models by year then alphabetically
• Update description, tagline
• Improve documentation