RePlay
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sb-ai-lab
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
Optimization of the two stage scenario. To run see `experiments/run_two_stage.py` and `experiments/submit_two_stage.sh` (launch on YARN). Depends from `sb-main-word2vec`, `sb-main-als-num-blocks`, `sb-main-ann`, `sb-main-cluster-session-flag` branches.
Removed redundant steps in base `_filter_seen` method.
I just run notebook 09_sasrec_example.ipynb, and when I call .fit(): File .../nn/schema.py:247, in (.0) 243 """ 244 :param features_list: list of tensor feature infos. 245 """ 246 features_list = [features_list]...
Hello, there may be some trivial inconsistencies in the following docstrings: https://github.com/sb-ai-lab/RePlay/blob/main/replay/splitters/last_n_splitter.py#L121 https://github.com/sb-ai-lab/RePlay/blob/main/replay/splitters/cold_user_random_splitter.py#L43 https://github.com/sb-ai-lab/RePlay/blob/main/replay/models/nn/sequential/sasrec/model.py#L445
## ❓Adding Side information to Sasrec I have user demographic features and item side features both categorical and numerical. How do i go about modifying the SaSrec example to support...
