ABSTRACT: This project aimed to assess the performance of attention extended LSTM and Gated Recurrent Unit models in stock price movement forecasting. The traditional models suffer from the challenges ...
Uses preprocess_cache.py + train_lora_cached.py - pre-computes encodings once. Much faster training - no VAE/text encoding during training Easy to experiment with different hyperparameters Cached data ...
def filter_by_session_len(df, min_session_len=2): df_session_item_count = (df.groupby(SESSION_ID_FIELD, as_index=False)[ITEM_ID_FILED].count().rename(columns={ITEM_ID ...
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