Cornac

Latest version: v2.2.0

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1.13.2

1.13.1

Support Python 3.9 with pre-built wheels

v1.13.0f
New models
- CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation (415)
- Adversarial Training Towards Robust Multimedia Recommender System (420)

New feature
- Propensity Stratified Evaluation Method (403) and tutorial (408)

Improvements
- Add GitHub actions for CI testing and pypi upload
- Update model names

1.12.0

New models
- Explainable Recommendation with Comparative Constraints on Product Aspects (ComparER) (392)

Improvements
- Fix some broken links
- Fix linux platform check (397)

1.11.0

New model
- Factorization Machines (FM) (343)

Improvements
- Update HPF initialization to use seed value (380)
- Add example Poisson Factorization vs BPR on MovieLens data (381)
- Add clarification when test_size and val_size > 1 (382)
- Shorten README (383)
- Update NARRE model (384)
- Import filmtrust in datasets module (388)

1.10.0

New models

- NARRE: Neural Attentional Rating Regression with Review-level Explanations (356)
- BiVAECF: Bilateral Variational Autoencoder for Collaborative Filtering (375)

Improvements

- Update SKMeans to account for max_iter and seed (377)
- Add SKMeans example (378)
- Add function to generate gamma variates (379)

1.9.0

New features

- StratifiedSplit evaluation method (367)

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