0.16.0

✨ Highlights ✨

HSTU architecture from "Actions Speak Louder then Words..." is now available in RecTools as HSTUModel, fully compatible with our fit / recommend paradigm and capable of context-aware recommendations.

Added

• HSTU Model from "Actions Speak Louder then Words..." implemented in the class HSTUModel (#290)
• leave_one_out_mask function (rectools.models.nn.transformers.utils.leave_one_out_mask) for applying leave-one-out validation during transformer models training.(#292)
• logits_t argument to TransformerLightningModuleBase. It is used to scale logits when computing the loss. (#290)
• use_scale_factor argument to LearnableInversePositionalEncoding. It scales embeddings by the square root of their dimension — following the original approach from the "Attention Is All You Need" (#290)
• Optional context argument to recommend method of models and get_context function to rectools.dataset.context.py (#290)

Fixed

• [Breaking] Corrected computation of cosine distance in DistanceSimilarityModule(#290)
• Installation issue with cupy extra on macOS (#293)
• torch.dtype object has no attribute 'kind' error in TorchRanker (#293)

Removed

• [Breaking] Dropout module from IdEmbeddingsItemNet. This changes model behaviour during training, so model results starting from this release might slightly differ from previous RecTools versions even when the random seed is fixed.(#290)

All contributors

@teodor-r @feldlime @blondered