content: #  Copyright (c) ZenML GmbH 2020. 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 pipelines.tracking_pipeline.tracking_pipeline import (
      mlflow_tracking_pipeline,
  )
  
  from zenml import pipeline
  from zenml.config import DockerSettings
  from zenml.integrations.constants import MLFLOW, SKLEARN
  from zenml.integrations.mlflow.steps.mlflow_registry import (
      mlflow_register_model_step,
  )
  
  docker_settings = DockerSettings(
      required_integrations=[MLFLOW, SKLEARN], requirements=["scikit-image"]
  )
  
  
  @pipeline(enable_cache=False, settings={"docker": docker_settings})
  def mlflow_registry_training_pipeline(
      num_run: int = 1,
  ):
      model = mlflow_tracking_pipeline()
      mlflow_register_model_step(
          model=model,
          name="sklearn-mnist-model",
          description=(
              f"Run #{num_run} of the mlflow_registry_training_pipeline."
          ),
      )
  