Automatically track key model metrics, hyperparams, visualizations, artifacts and resources, and version control code and data.
Maximize the usage of your cluster by scheduling jobs and experiments via our CLI, dashboard, SDKs, or REST API.
Use our optimization algorithms to effectively run parallel experiments and find the best model.
Visualize, search, and compare experiment results, hyperparams, training data and source code versions, so you can quickly analyze what worked and what didn’t.
Model management »
Consistently develop, validate, deliver, and monitor models to create a competitive advantage.
Instead of ad-hoc scripts, collaborate with the rest of your team and enable knowledge distribution practices in your organization.
Reflect your organization's structure and manage permissions and quotas for your resources and cluster access.
Reproduce results and meet regulatory compliance without any added work.
Scale your resources as needed, and run jobs and experiments on any platform (AWS, Microsoft Azure, Google Cloud Platform, and on-premises hardware).
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Polyaxon let's you automatically track key model metrics, hyperparams, visualizations, artifacts and resources, and version control code and data.
Once Polyaxon has been integrated into your model, each experiment and every trained model’s set of hyperparameter configuration is recorded and viewable from the dashboard. Never again will you need to search through local config files to find that set of parameters which performed well.
Add Polyaxon to your code with just a few lines, and we'll automatically capture and log system metrics for you.
- Enable hyperparams and metrics logging for performance measurement
- Data, artifacts, and outputs logging for pipelines and reproducible experiments
- Centralize your runs’ logs
- Search and get better understanding of your experiments performance
- Enable access to multiple dashboarding and vizualuasation tools
Integrate with with git
Link between code and model in very easy without altering your workflow