| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you 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 |
| # |
| # http://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. |
| |
| |
| # Define variable `mlflow_tracking_uri` |
| mlflow_tracking_uri: &mlflow_tracking_uri "http://127.0.0.1:5000" |
| |
| # Define the workflow |
| workflow: |
| name: "MLflow" |
| |
| # Define the tasks within the workflow |
| tasks: |
| - name: train_xgboost_native |
| task_type: MLFlowProjectsCustom |
| repository: https://github.com/mlflow/mlflow#examples/xgboost/xgboost_native |
| mlflow_tracking_uri: *mlflow_tracking_uri |
| parameters: -P learning_rate=0.2 -P colsample_bytree=0.8 -P subsample=0.9 |
| experiment_name: xgboost |
| |
| - name: train_automl |
| task_type: MLFlowProjectsAutoML |
| mlflow_tracking_uri: *mlflow_tracking_uri |
| parameters: time_budget=30;estimator_list=['lgbm'] |
| experiment_name: automl_iris |
| model_name: iris_A |
| automl_tool: flaml |
| data_path: /data/examples/iris |
| |
| - name: deploy_docker |
| task_type: MLflowModels |
| deps: [train_automl] |
| model_uri: models:/iris_A/Production |
| mlflow_tracking_uri: *mlflow_tracking_uri |
| deploy_mode: DOCKER |
| port: 7002 |
| |
| - name: train_basic_algorithm |
| task_type: MLFlowProjectsBasicAlgorithm |
| mlflow_tracking_uri: *mlflow_tracking_uri |
| parameters: n_estimators=200;learning_rate=0.2 |
| experiment_name: basic_algorithm_iris |
| model_name: iris_B |
| algorithm: lightgbm |
| data_path: /data/examples/iris |
| search_params: max_depth=[5, 10];n_estimators=[100, 200] |
| |
| - name: deploy_mlflow |
| deps: [train_basic_algorithm] |
| task_type: MLflowModels |
| model_uri: models:/iris_B/Production |
| mlflow_tracking_uri: *mlflow_tracking_uri |
| deploy_mode: MLFLOW |
| port: 7001 |
| |