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CatBoost

The catboost_example.py example demonstrates the integration of ClearML into code that uses CatBoost.

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 example in the examples project
  • ClearML automatically logs argparse command line options, and models and metrics logged by CatBoost

Scalars

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.

Experiment scalars

Hyperparameters

ClearML automatically logs command line options defined with argparse. They appear in CONFIGURATIONS > HYPER PARAMETERS > Args.

Experiment hyperparameters

Console

Text printed to the console for training progress, as well as all other console output, appear in CONSOLE.

Experiment console

Artifacts

Models created by the experiment appear in the experiment’s ARTIFACTS tab. ClearML automatically logs and tracks models created using CatBoost.

Experiment artifacts

Clicking on the model name takes you to the model’s page, where you can view the model’s details and access the model.

Model page