data:

raw_anime_path: ./data/raw/anime.csv

raw_rating_path: ./data/raw/rating.csv

preprocessed_anime_path: ./data/interim/anime_preprocessed.csv

cleaned_rating_path: ./data/interim/rating_cleaned.csv

merged_data_path: ./data/interim/merged_data.csv

train_set_path: ./data/processed/train.csv

test_set_path: ./data/processed/test.csv

min_user_ratings: 100

min_anime_ratings: 100

feature_engineering:

user_to_user_encoded_path: ./models/artifacts/user_to_user_encoded.json

anime_to_anime_encoded_path: ./models/artifacts/anime_to_anime_encoded.json

anime_encoded_to_anime_path: ./models/artifacts/anime_encoded_to_anime.json

genre_to_genre_encoded_path: ./models/artifacts/genre_to_genre_encoded.json

rating_scale_path: ./models/artifacts/rating_scale.json

data_preprocessing:

valid_size: 0.8

model:

regularization_strength: 1e-6

initializer: he_normal

embedding_size: 50

learning_rate: 0.0001

epoch: 100

batch_size: 2048

model_path: ./models/model.keras

optimizer: adam

model_evaluation:

metrics_path: reports/metrics.json