The example script does the following:
- Trains a simple deep neural network on the CatBoost built-in msrank dataset.
- Creates an experiment named
CatBoost simple examplein the
- ClearML automatically logs argparse command line options, and models and metrics logged by CatBoost
ClearML automatically captures scalars logged by CatBoost. These scalars can be visualized in plots, which appear in the ClearML web UI, in the experiment's page > SCALARS.
ClearML automatically logs command line options defined with argparse. They appear in CONFIGURATIONS > HYPERPARAMETERS > Args.
Text printed to the console for training progress, as well as all other console output, appear in CONSOLE.
Models created by the experiment appear in the experiment's ARTIFACTS tab. ClearML automatically logs and tracks models created using CatBoost.
Clicking on the model name takes you to the model's page, where you can view the model's details and access the model.