As we are testing release candidates for the upcoming PolyaxonV1.1. Several users have been asking about the new Polyaxonfile changes and…

The v1 release delivers some new functionalities and features to streamline the machine learning lifecycle.

For some advanced uses cases, users might need to mount more than one data and/or outputs volumes.

For some advanced use cases, users might need to have more control over where specific Polyaxon jobs should be deployed on their clusters.

In this post we will introduce a new feature on Polyaxon, checkpointing, resuming, and restarting experiments.

hyperparameters tuning is very important concept in order to choose the optimal hyperparameters for a given algorithm!

In this short tutorial, we will be going over a new feature in Polyaxon, distributed training.

We’re introducing a new feature at Polyaxon to help you iterate on your projects and share your work; Jupyter Notebook and Tensorboard.