Runs the Kaggle datasets from the mlbench benchmark [H. Zhang et al., 2017] in DataRobot cloud, using the DataRobot API client. Creates multiple submission files for each dataset.
- Download the mlbench dataset and extract it into this directory.
- Configure your access credentials for the DataRobot API.
- Run
mlbench_preprocess.py
. - Run
mlbench_run.py
.
The script will run all datasets in DataRobot and create 4 submission files for each dataset. These submission files can be uploaded to Kaggle for scoring.