Create a conda env by running conda create --name YOUR_ENVIRONMENT_NAME --file spec-file.txt
Activate an existing environment by conda activate YOUR_ENVIRONMENT_NAME
Run ./data/download_data_for_ML.sh
which installs the gdown
package (if not installed yet) through pip and downloads the datasets.
Installing the gdown
through pip is temporary until we fix installing through conda
After you download the datasets, you can play with example notebooks ML_training_and_evaluation.regression.ipynb
and ML_training_and_evaluation.classification.ipynb
. Choose the environment YOUR_ENVIRONMENT_NAME
you created before as your notebook kernel.