experiment:
  dataset: epinions
  data_config:
    strategy: dataset
    dataset_path: ../data/{0}/dataset.tsv
  prefiltering:
    - strategy: iterative_k_core
      core: 2
  binarize: True
  splitting:
    save_on_disk: True
    save_folder: ../data/{0}/splitting/
    test_splitting:
      test_ratio: 0.2
      strategy: random_subsampling
      folds: 5
  top_k: 50
  evaluation:
    cutoffs: [10, 20, 50]
    simple_metrics: [nDCG, MAP, MRR, Precision, Recall, HR]  
  gpu: 0
  external_models_path: ../external/models/__init__.py
  models:
    UserAutoRec:
      epochs: [20, 30, 50]
      batch_size: [32, 64, 128, 256, 512] 
      hidden_neuron: [25, 100, 200, 500]
      lr: [loguniform, -11.512925464970229, 0]
      l_w: [0.01, 0.001,0.0001, 0.00005]
      meta:
        hyper_max_evals: 100
        hyper_opt_alg: tpe
        save_recs: True
        validation_metric: MRR@10