This project uses different conda environments depending on the scripts executed.
- preprocessing step one:
This step uses Python 3.9, and requires PyTorch 1.10.0 library and its dependencies. - preprocessing step two:
consists of the following files:create_convert_to_npy_env.slurm
- Bayesian optimisation, plotting and statistics:
consists of the following files:create_bayesian_env.slurm
- The
init.py
file is used by some scripts. Please configure the following variables:path_to_data
path_to_processed_data
- The
.env
is used by the Bayesian optimisation process and the plotting and statistics scripts. Please configure the following variables:PATH_TO_DATA
OUTPUT_DIR
Download the data from the following url: https://data.dtu.dk/articles/dataset/AI4Arctic_ASIP_Sea_Ice_Dataset_-_version_2/13011134
Download this data in a directory and configure the path_to_data
variable in the file init.py
to this directory.
- changing .nc to .nc
consists of the following files:
- convert_to_npy.slurm
- convertDataToNpy.py
Please configure the following variables in the . file:
read_path
write_path
- chief
- worker
- .py
- get-results
- stats
- plot map