- Prepare IGF data for training a seisbench model detecting P phase (i.e. transform mseeds into [SeisBench data format](https://seisbench.readthedocs.io/en/stable/pages/data_format.html)), check the [notebook](utils/Transforming%20mseeds%20to%20SeisBench%20dataset.ipynb).
Please download and install [Mambaforge](https://github.com/conda-forge/miniforge#mambaforge) following the [official guide](https://github.com/conda-forge/miniforge#install).
After successful installation and within the Mambaforge environment please run following commands:
* Trains multiple versions of GPD, PhaseNet and ... models to find the best hyperparameters, producing the lowest validation loss.
This step utilizes the Weights & Biases platform to perform the hyperparameters search (called sweeping) and track the training process and store the results.
The results are available at
`https://epos-ai.grid.cyfronet.pl/<your user name>/<your project name>`
* Uses the best performing model of each type to generate predictions
* Evaluates the performance of each model by comparing the predictions with the evaluation targets
* Saves the results in the `scripts/pred` directory
*
The default settings are saved in config.json file. To change the settings, edit the config.json file or pass the new settings as arguments to the script.
For example, to change the sweep configuration file for GPD model, run: