Remove CSV artifacts

ITMKNN/REPORT.txt

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-Model: itemknn | Loss: bpr
-Experiment: exp-itemknn-2
-Users: 260039 | Items: 365797
-Best val Recall@10: 0.9396 (epoch 19)
-Test: P@10=0.0956  R@10=0.9556  F1@10=0.1738  MAP@10=0.8720  NDCG@10=0.8932

ITMKNN/metrics.json

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-{
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ITMKNN/test_metrics.csv

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ITMKNN/train_log.csv

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LIGHTGCN/best.weights.h5

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MF/REPORT.txt

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-Model: neumf | Loss: bpr
-Experiment: exp-neumf-64-2
-Users: 260039 | Items: 365797
-Best val Recall@10: 0.6105 (epoch 18)
-Test: P@10=0.0571  R@10=0.5713  F1@10=0.1039  MAP@10=0.2927  NDCG@10=0.3587

MF/eval_test_metrics.csv

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-precision,recall,f1,map,ndcg
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MF/eval_test_metrics.json

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-{
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-  "f1": 0.10392706828241499,
-  "map": 0.2927710797592815,
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MF/hparams.json

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-{
-  "data_dir": "artifacts/movies_from_music-2/data",
-  "out_root": "checkpoint",
-  "model": "neumf",
-  "loss": "bpr",
-  "exp_name": "exp-neumf-64-2",
-  "epochs": 30,
-  "batch_size": 1024,
-  "emb_dim": 64,
-  "lr": 0.003,
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-  "policy_name": "none",
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-  "alpha": 1.0,
-  "replay_after_train": false,
-  "candidate_topn": 200,
-  "slate_k": 10,
-  "bootstrap_iters": 1000
-}

MF/metrics.json

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-{
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MF/test_metrics.csv

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MF/train_log.csv

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NEUMF+Attention/best.weights.h5

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NEUMF+Attention/item_embeddings.npy

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NEUMF+Attention/user_embeddings.npy

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NEUMF/REPORT.txt

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-Model: neumf | Loss: bpr
-Experiment: exp-neumf-64-2
-Users: 260039 | Items: 365797
-Best val Recall@10: 0.6105 (epoch 18)
-Test: P@10=0.0571  R@10=0.5713  F1@10=0.1039  MAP@10=0.2927  NDCG@10=0.3587

NEUMF/eval_test_metrics.csv

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NEUMF/eval_test_metrics.json

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-{
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-  "map": 0.2927710797592815,
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NEUMF/hparams.json

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-{
-  "data_dir": "artifacts/movies_from_music-2/data",
-  "out_root": "checkpoint",
-  "model": "neumf",
-  "loss": "bpr",
-  "exp_name": "exp-neumf-64-2",
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-  "slate_k": 10,
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NEUMF/metrics.json

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-{
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NEUMF/test_metrics.csv

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