* Highlights
* New Features
* Improvements
* Bug Fixes
Highlights
The RecBole v0.1.2 release includes a number of new features, model efficiency improvements and bug fixes. A few of the highlights include:
1. We add CI (Continuous Integration) to RecBole, which improves the efficiency and quality of our development.
2. We improve the efficiency of GNN-based general recommendation models(NGCF, GCMC, LightGCN, SpectralCF) by refactoring the construction of sparse interaction tensor. In this way, usage of GPU RAM can be greatly reduced.
3. Some bugs in models, trainer and data are fixed.
New Features
* Add gradient clipping. (533)
* Add `Dataset`'s attributes `token2id` and `id2token`.(511)
* Add continuous integration. (496)
Improvements
* Improve the efficiency of GNN-based general recommendation models (NGCF, GCMC, LightGCN, SpectralCF). (525, 526)
* `SequentialDataloader`: add support for historical sequence of Non-SEQ features. (547)
Bug Fixes
Model:
* Fix a bug in the DMF model: crash when training set contains item without interactive records. ( 505)
* Fix a bug in the TransRec model: this bug may cause runtime error. (502)
Trainer:
* Fix a bug in the trainer: this bug may cause the NeuMF model to report an error if `eval_batch_size=1`.(537)
* Fix the bug that some models don't work when `epochs = 0`. (499)
Data:
* Fix wrong data type of time field in `SequentialDataloader`. (551)
* Fix the bug of negative sample judgment in sampler. (551)
* Fix the bug that `kg_feat` is empty when `KGDataloader` is in KGRS mode. (551）