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)