SHENSHENZYC
/
next-word-prediction-with-LSTM


  
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            stages:
  context_vs_target_splitting:
    cmd: python src/text_preprocessing.py
    deps:
    - data/raw/20news-bydate-test
    - data/raw/20news-bydate-train
    outs:
    - data/processed/processed_test/context_target_test.csv
    - data/processed/processed_train/context_target_train.csv
  word_embedding:
    cmd: python src/embedding.py
    deps:
    - data/processed/processed_test/context_target_test.csv
    - data/processed/processed_train/context_target_train.csv
    outs:
    - data/processed/processed_test/embedded_X_test.pkl
    - data/processed/processed_test/embedded_y_test.pkl
    - data/processed/processed_train/embedded_X_train.pkl
    - data/processed/processed_train/embedded_y_train.pkl
  bi_lstm_with_train:
    cmd: python src/lstm.py
    deps:
    - data/processed/processed_train/embedded_X_train.pkl
    - data/processed/processed_train/embedded_y_train.pkl
    params:
    - logs/train_params.yml
    metrics:
    - logs/train_metrics.csv
    plots:
    - plots/train_losses.png