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clearml-docs/docs/guides/frameworks/scikit-learn/sklearn_joblib_example.md
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title
scikit-learn with Joblib

The sklearn_joblib_example.py demonstrates the integration of ClearML into code that uses scikit-learn and joblib to store a model and model snapshots, and matplotlib to create a scatter diagram. When the script runs, it creates an experiment named scikit-learn joblib examplescikit-learn joblib example, which is associated with the examples project.

Plots

ClearML automatically logs the scatter plot, which appears in the experiment's page in the ClearML web UI, under
RESULTS > PLOTS.

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Artifacts

Model artifacts associated with the experiment appear in the info panel of the EXPERIMENTS tab and in the info panel of the MODELS tab.

The experiment info panel shows model tracking, including the model name and design (in this case, no design was stored).

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The model info panel contains the model details, including:

  • Model URL
  • Framework
  • Snapshot locations.

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