params.yaml

data:
  embeddings: /home/romain/Documents/BackUp/Special/Projets/Code_IIA/Projet_9/HttpTrigger_dev/data/articles_embeddings.pickle
  embeddings_jovien: ../data/articles_embeddings.pickle
  metadata: /home/romain/Documents/BackUp/Special/Projets/Code_IIA/Projet_9/HttpTrigger_dev/data/articles_metadata.csv
  metadata_jovien: ../data/articles_metadata.csv
  clicks: /home/romain/Documents/BackUp/Special/Projets/Code_IIA/Projet_9/HttpTrigger_dev/data/clicks
  clicks_jovien: ../data/clicks
  clicks_agg: /home/romain/Documents/BackUp/Special/Projets/Code_IIA/Projet_9/HttpTrigger_dev/data/clicks_agg.csv
  ranking: /home/romain/Documents/BackUp/Special/Projets/Code_IIA/Projet_9/HttpTrigger_dev/data/database.csv
  ratings: /home/romain/Documents/BackUp/Special/Projets/Code_IIA/Projet_9/HttpTrigger_dev/data/books_ratings.csv

machine_learning:
  matrix_size: 100000
  sample: 100000
  epochs: 1
  ratio_val_test: 0.1
  learning_rate: 0.001
  rand_seed: 42
  client_by_book: 4 # 20
  book_by_client: 2 # 50
  embedding_size: 10000