sklearn

scikit-learn dynamic patch that automates logging to Verta during training.

This patch adds a run parameter to the fit() methods of most scikit-learn models, and logs the model’s hyperparameters.

See our GitHub repository for an example of this intergation in action.

New in version 0.13.20.

Examples

import verta.integrations.sklearn
run = client.set_experiment_run()
model = sklearn.linear_model.LogisticRegression()
model.fit(X, y, run=run)