time_series_forecasting/pipeline.sh at main · HeRCLab/time_series_forecasting · GitHub

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python scripts/generate_time_series.py

python time_series_forecasting/data_utils.py --csv_path "data/data.csv" --out_path "data/processed_data.csv" --config_path "data/config.json"

# Train
# Trains a model and saves the model in models/ts_models/

python time_series_forecasting/training.py --data_csv_path "data/processed_data.csv" --feature_target_names_path "data/config.json" --output_json_path "models/trained_config.json" --log_dir "models/ts_views_logs" --model_dir "models/ts_views_models"

python time_series_forecasting/evaluation.py --data_csv_path "data/processed_data.csv" --feature_target_names_path "data/config.json" --trained_json_path "data/trained_config.json" --eval_json_path "data/eval.json" --data_for_visualization_path "data/visualization.json"

python time_series_forecasting/plot_images.py