Version 5.0
Share this post
- Introduced public and protected modes for deployed service’s URL.
-
The ability to export a solution from one xpresso instance and
import it to another instance.
- Known Limitation: DataSource import/export is not supported at the moment.
-
Introduced support for running only some specific components in a
pipeline.
- Known Limitation: Only for Kubeflow runs.
- Introduced support for restarting a failed pipeline run from the component where it initially failed.
- Introduced Visual Studio Code as an online IDE.
- Known Limitation: The current approach isn’t fully secure.
-
Improved support for multiple deployment clusters in one instance.
-
Known Limitation: Cluster allotment for old users is a manual step
that will be done by the xpresso.ai team while upgrading
versions.
-
Known Limitation: Cluster allotment for old users is a manual step
that will be done by the xpresso.ai team while upgrading
versions.
- For new users, clusters will be allotted at the time of user creation.
- Improvements in ML Components (improved metrics and graph
generation, improved status reporting, etc.)
- Known Limitation: Only SKLearn is done as of now. Keras, LightGBM and XGBoost to follow in the next release.
- Improved the data flow between components.
