structure.txt

.
├── ckpt.zip                                        # Model checkpoints
├── environment.yml                                 # Environment configuration file
├── Learning.ipynb                                  # Jupyter notebook for learning experiments
├── Learning.py                                     # Python script for learning experiments
├── README.md                                       # The main documentation file for the project
├── results                                         # Directory for storing result files
│   ├── evaluation_metrics_results.csv              # CSV file containing evaluation metrics results
│   └── hyper-parameter_analysis                    # Directory for storing hyper-parameter analysis results
│       ├── dropout_regularization.csv              # CSV file for dropout regularization results
│       ├── Hidden_sizes.csv                        # CSV file for hidden sizes analysis
│       └── layer_weight_combinations.csv           # CSV file for layer weight combinations
├── sample_data                                     # Directory for storing sample data files
│   ├── belgium
│   │   └── aggregated_dataframe_belgium.csv        # Aggregated data for Belgium
│   ├── france
│   │   └── aggregated_dataframe_france.csv         # Aggregated data for France
│   ├── germany
│   │   └── aggregated_dataframe_germany.csv        # Aggregated data for Germany
│   ├── netherlands
│   │   └── aggregated_dataframe_netherlands.csv    # Aggregated data for Netherlands
│   └── spain
│       └── aggregated_dataframe_spain.csv          # Aggregated data for Spain
├── src                                             # Source code directory containing scripts and modules
│   ├── config.py                                   # Configuration file for the project
│   ├── data_prepare.py                             # Data preparation script
│   ├── __init__.py                                 # Init file for the src module
│   └── models                                      # Directory for model-related scripts
│       ├── activation
│       │   ├── exu.py                              # EXU activation function
│       │   ├── __init__.py                         # Init file for activation functions
│       │   └── relu.py                             # ReLU activation function
│       ├── base.py                                 # Base model script
│       ├── DNN.py                                  # Deep Neural Network model script
│       ├── featurenn.py                            # Feature neural network script
│       ├── __init__.py                             # Init file for the models module
│       ├── LSTM.py                                 # Long Short-Term Memory model script
│       ├── model_selector.py                       # Model selection script
│       ├── natm.py                                 # NATM model script
│       └── SCINet.py                               # SCINet model script
├── structure.txt                                   # File containing the project structure
└── Visualization.ipynb                             # Jupyter notebook for visualization experiments