content: #  Copyright (c) ZenML GmbH 2022. All Rights Reserved.
  #
  #  Licensed under the Apache License, Version 2.0 (the "License");
  #  you may not use this file except in compliance with the License.
  #  You may obtain a copy of the License at:
  #
  #       https://www.apache.org/licenses/LICENSE-2.0
  #
  #  Unless required by applicable law or agreed to in writing, software
  #  distributed under the License is distributed on an "AS IS" BASIS,
  #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
  #  or implied. See the License for the specific language governing
  #  permissions and limitations under the License.
  import xgboost as xgb
  
  from zenml import step
  
  
  @step
  def trainer(
      mat_train: xgb.DMatrix,
      max_depth: int = 1,
      eta: int = 1,
      objective: str = "binary:logistic",
      num_round: int = 2,
  ) -> xgb.Booster:
      """Trains a XGBoost model on the data."""
      params = {
          "max_depth": max_depth,
          "eta": eta,
          "objective": objective,
      }
      return xgb.train(params, mat_train, num_round)
  