This video combines the knowledge we gathered from the previous videos to tackle a cool application of the powers of ClearML: hyperparameter optimization. Learn how it works and how to get started.

💻 Get a server:

Get started by using our free tier servers: https://app.clear.ml
OR by hosting you own: https://github.com/allegroai/clearml-server

📄 Documentation on Fundamentals:

Get Started: https://clear.ml/docs/latest/docs/getting_started/ds/ds_first_steps
Pip Package / ClearML SDK: https://clear.ml/docs/latest/docs/clearml_sdk
ClearML Data: https://clear.ml/docs/latest/docs/clearml_data/clearml_data
ClearML Agent: https://clear.ml/docs/latest/docs/clearml_agent
Supported libraries for automagical integration: https://clear.ml/docs/latest/docs/integrations/libraries

✨ Follow us and star us!

Github page: https://github.com/allegroai/clearml
Twitter: https://twitter.com/clearmlapp
Slack Channel: https://join.slack.com/t/allegroai-trains/shared_invite/zt-c0t13pty-aVUZZW1TSSSg2vyIGVPBhg
LinkedIn: https://www.linkedin.com/company/clearml

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Music from Youtube Audio Library: https://www.youtube.com/watch

Chapters:

0:00 Intro

0:14 Pipelines in ClearML

1:13 How to create one

1:40 Hands-on Example

2:58 Control Logic

3:48 Running the pipeline

4:17 Pipeline UI

5:09 Cloning a pipeline!

5:38 Outro

5:54 Jazz