| """ |
| 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. |
| """ |
| |
| from submarine import ModelsClient |
| import random |
| import time |
| |
| if __name__ == "__main__": |
| modelClient = ModelsClient() |
| with modelClient.start() as run: |
| modelClient.log_param("learning_rate", random.random()) |
| for i in range(100): |
| time.sleep(1) |
| modelClient.log_metric("mse", random.random() * 100, i) |
| modelClient.log_metric("acc", random.random(), i) |