Enhance time series forecasting with new models and metrics updates#844
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twcch wants to merge 19 commits intothuml:mainfrom
Open
Enhance time series forecasting with new models and metrics updates#844twcch wants to merge 19 commits intothuml:mainfrom
twcch wants to merge 19 commits intothuml:mainfrom
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- Removed obsolete script files from the virtual environment. - Updated `Exp_Imputation`, `Exp_Long_Term_Forecast`, and `Exp_Zero_Shot_Forecast` classes to include R² in metrics calculations and outputs. - Enhanced the `metric` function in `utils/metrics.py` to compute R². - Modified experiment record documentation to reflect changes in model parameters.
…ate experiment command for improved model configuration and path handling in results listing
…chs and batch size
…e DataEmbedding; update Model architecture for enhanced forecasting accuracy
… and error handling
…a processing; add new volatility and spread features, and improve output formatting
…rate for long-term forecasting experiment
…n gate and linear baseline; update run_batch.py for new experiment parameters
…res, and tools - Updated metrics.py to improve code readability and maintainability. - Enhanced print_args.py for better argument display formatting. - Refactored timefeatures.py to streamline time feature extraction logic. - Improved tools.py by organizing learning rate adjustment, early stopping, and visualization functions.
…ith cch_LSTMAttention for long-term forecasting experiments
…ity; reintroduce necessary imports
…implement Model class for forecasting
…py, cch_TransLSTM.py
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