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40 lines
1.8 KiB
Markdown
40 lines
1.8 KiB
Markdown
---
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title: CatBoost
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---
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The [catboost_example.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/catboost/catboost_example.py)
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example demonstrates the integration of ClearML into code that uses [CatBoost](https://catboost.ai).
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The example script does the following:
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* Trains a simple deep neural network on the CatBoost built-in [msrank](https://catboost.ai/en/docs/concepts/python-reference_datasets_msrank)
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dataset.
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* Creates an experiment named `CatBoost simple example` in the `examples` project
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* ClearML automatically logs argparse command line options, and models and metrics logged by CatBoost
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## Scalars
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ClearML automatically captures scalars logged by CatBoost. These scalars can be visualized in plots, which appear in the
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[ClearML web UI](../../../webapp/webapp_overview.md), in the experiment's page **> SCALARS**.
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## Hyperparameters
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ClearML automatically logs command line options defined with argparse. They appear in **CONFIGURATIONS > HYPERPARAMETERS > Args**.
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## Console
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Text printed to the console for training progress, as well as all other console output, appear in **CONSOLE**.
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## Artifacts
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Models created by the experiment appear in the experiment's **ARTIFACTS** tab. ClearML automatically logs and tracks
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models created using CatBoost.
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Clicking on the model name takes you to the [model's page](../../../webapp/webapp_model_viewing.md), where you can view
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the model's details and access the model.
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