03_train_model/source_dir/training_debug.py [71:86]:
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    watchlist = [(dtrain, "train"), (dval, "validation")]

    params = {
        "max_depth": args.max_depth,
        "eta": args.eta,
        "gamma": args.gamma,
        "min_child_weight": args.min_child_weight,
        "silent": args.silent,
        "objective": args.objective,
        "eval_metric": args.eval_metric
    }

    bst = xgboost.train(
        params=params,
        dtrain=dtrain,
        evals=watchlist,
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08_projects/modelbuild/pipelines/endtoendmlsm/train/train.py [64:79]:
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    watchlist = [(dtrain, "train"), (dval, "validation")]

    params = {
        "max_depth": args.max_depth,
        "eta": args.eta,
        "gamma": args.gamma,
        "min_child_weight": args.min_child_weight,
        "silent": args.silent,
        "objective": args.objective,
        "eval_metric": args.eval_metric
    }

    bst = xgboost.train(
        params=params,
        dtrain=dtrain,
        evals=watchlist,
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