bk
bk
Hi, When 'predicting' a single Vector from a RDD[Vector] on a trained model a stackoverflowerror is thrown. When doing the same on a RDD[Vector] at once it works oke. ```...
The `evaluate_file.rs` presents the prediction latencies. These percentiles that are shown are currently hardcoded. Make the percentiles configurable using the config file. in the config file introduce a new section...
The evaluation metric (MRR@20) that is used for hyperparameter search is currently hardcoded. Serenade has supports for multiple [evaluation metrics](https://github.com/bolcom/serenade/tree/main/src/metrics) such as MRR, F1, HitRate, Ndcg, Popularity. Precision, Recall etc....
Add the VSKNN_STAN algorithm. The VSKNN_STAN algorithm is introduced in the paper: [Empirical Analysis of Session-Based Recommendation Algorithms](https://arxiv.org/pdf/1910.12781.pdf) VSKNN_STAN combines the ideas from STAN and VS-kNN in a single approach...
Add the STAN algorithm to Serenade. Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN https://dl.acm.org/doi/10.1145/3331184.3331322 This method called “Sequence and Time Aware Neighborhood” was presented at SIGIR ’19. STAN...
**Is your feature request related to a problem? Please describe.** The RepeatNet model contains expensive tensor multiplications of very sparse matrices which are implemented with dense operations and representations and...
**Is your feature request related to a problem? Please describe.** The models [SR-GNN](https://github.com/RUCAIBox/RecBole/blob/1a9dfeca2c6af7833c7e01de7ae73315ab6029e3/recbole/model/sequential_recommender/srgnn.py#L202), [GC-SAN](https://github.com/RUCAIBox/RecBole/blob/1a9dfeca2c6af7833c7e01de7ae73315ab6029e3/recbole/model/sequential_recommender/gcsan.py#L205) contain NumPy operations in their `forward` function which requires repeated data transfers between CPU and GPU...