VertaCallback¶
- class verta.integrations.xgboost.VertaCallback(*args: Any, **kwargs: Any)¶
XGBoost callback that automates logging to Verta during booster training.
This callback logs
eval_metric
s passed intoxgb.train()
.See our GitHub repository for an example of this intergation in action.
New in version 0.13.20.
- Parameters:
run (
ExperimentRun
) – Experiment Run tracking this model.
Examples
from verta.integrations.xgboost import VertaCallback run = client.set_experiment_run() run.log_hyperparameters(params) bst = xgb.train( params, dtrain, evals=[(dtrain, "train")], callbacks=[VertaCallback(run)], )