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.
  
  from steps import (
      digits_data_loader,
      evaluator,
      svc_trainer,
  )
  
  from zenml import pipeline
  from zenml.config import DockerSettings
  from zenml.integrations.constants import FACETS, SKLEARN
  
  docker_settings = DockerSettings(required_integrations=[SKLEARN, FACETS])
  
  
  @pipeline(enable_cache=False, settings={"docker": docker_settings})
  def sklearn_digits_pipeline():
      """data loading -> train -> test with skew comparison in parallel."""
      X_train, X_test, y_train, y_test = digits_data_loader()
      model = svc_trainer(X_train=X_train, y_train=y_train)
      evaluator(X_test=X_test, y_test=y_test, model=model)
  