2021-05-13 23:48:51 +00:00
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---
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2023-11-05 08:30:37 +00:00
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title: scikit-learn with Joblib
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2021-05-13 23:48:51 +00:00
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---
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2025-02-13 11:21:35 +00:00
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The [sklearn_joblib_example.py](https://github.com/clearml/clearml/blob/master/examples/frameworks/scikit-learn/sklearn_joblib_example.py)
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2022-01-13 07:42:36 +00:00
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demonstrates the integration of ClearML into code that uses `scikit-learn` and `joblib` to store a model and model snapshots,
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2025-02-06 15:31:11 +00:00
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and `matplotlib` to create a scatter diagram. When the script runs, it creates a task named
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2023-09-04 12:40:42 +00:00
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`scikit-learn joblib example` in the `examples` project.
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2021-05-13 23:48:51 +00:00
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## Plots
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2025-02-06 15:31:11 +00:00
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ClearML automatically logs the scatter plot, which appears in the [task's page](../../../webapp/webapp_exp_track_visual.md)
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2022-05-22 07:27:30 +00:00
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in the ClearML web UI, under **PLOTS**.
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2021-05-13 23:48:51 +00:00
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## Artifacts
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2025-02-06 15:31:11 +00:00
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Models created by the task appear in the task's **ARTIFACTS** tab.
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2021-05-13 23:48:51 +00:00
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2023-10-01 07:31:48 +00:00
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Clicking on the model name takes you to the [model's page](../../../webapp/webapp_model_viewing.md), where you can
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view the model's details and access the model.
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2022-01-13 07:42:36 +00:00
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2021-05-13 23:48:51 +00:00
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