scikit-learn with Joblib

Trains is now ClearML

This documentation applies to the legacy Trains versions. For the latest documentation, see ClearML.

The sklearn_joblib_example.py demonstrates integrating Trains into code which uses scikit-learn, joblib to store a model and model snapshot, 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

Trains automatically logs the scatter plot, which appears in RESULTS > PLOTS.

Artifacts

Model artifacts associated with the experiment appear in the experiment info panel (in the EXPERIMENTS tab), and in the model info panel (in the MODELS tab).

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

Model artifacts associated with the experiment appear in the experiment info panel (in the EXPERIMENTS tab), and in the model info panel (in the MODELS tab).

The model info panel contains the model details, including the model URL, framework, and snapshot locations.