ai-center
2023.4
false
- Release Notes
- Before you begin
- Getting started
- Installing AI Center
- Migration and upgrade
- Projects
- Datasets
- Data Labeling
- ML packages
- Out of the box packages
- Pipelines
- ML Skills
- ML Logs
- Document UnderstandingTM in AI Center
- AI Center API
- How to
- Licensing
- Basic Troubleshooting Guide
AI Center User Guide
Last updated Oct 22, 2024
2023.4.0
Release date: 26 April 2023
AI Center 2023.4 LTS Release
We are excited to release AI Center 2023.4 LTS!
You can now manage your AI Center projects, datasets, ML packages, ML skills, and pipelines from an external application with the use of AI Center API endpoints.
Check the related pages in the new AI Center API section of the guide:
- Overview
- API List
This release brings several improvements in how ML package versions are displayed:
- If you create a new version of the model, your new version will be displayed at the top of the drop-down list.
- Each minor version of a package is now displayed in the same category with the major version.
The new default language when creating a new ML Package is Python 3.9.
We are happy to announce the new notifications feature within Automation Cloud™ portal for AI Center events. You can now receive built-in, in-app notifications to notify you with the most relevant events:
- Dataset
- Download readiness
- ML Package validation
- ML Pipelines status change
- ML Skill status change
This release brings new versions for the Open Source ML packages:
- ObjectDetection
- Version: 22.12.0
- Python Version: Python 3.8 OpenCV
- NamedEntityRecognition
- Version: 22.12.0
- Python Version: Python 3.8
- ImageModeration
- Version: 22.12.0
- PythonVersion: Python 3.8
- TPOTAutoMLRegression
- Version: 22.12.0
- PythonVersion: Python 3.8
- LanguageDetection
- Version: 22.12.0
- PythonVersion: Python 3.8
- MultilingualTranslator
- Version: 22.11.2
- PythonVersion: Python 3.8
- SentimentAnalysis
- Version: 22.12.0
- PythonVersion: Python 3.8
- This release brings improvements to cluster and infrastructure stability.
- This release brings general security and accessibility improvements.
- For improved usability, a proper exception is used instead of a
500 errorwhen deleting a Project that was already soft deleted. - For improved usability, the Action Center data labeling task titles are renamed to
DL-sessionName-filename. - Packages created from the Document Understanding center no longer have
NULLin the Modified by field of the package details. - For improved usability, the
Waiting for licenseserror message due to licenses not available is updated to a more clear message. A failed reason for the pipeline is now added in the table. The failed reason is displayed in the interface if the pipeline failed. - For improved usability, the
Downloadingmessage when a dataset is ready for download is updated to a more clear message. The updated message is nowPackaging. - If a Full Pipeline fails during the Evaluation step, the trained model is now kept.
- Minimum pipeline frequency has been raised to one hour in order to prevent scheduling too many pipelines, which can lead to infra issues.. Previously, recurring pipelines with wrong cron jobs could have been started every minute, leading to a high amount of resource consumption and waiting times.
- The Time based interface from the Create new pipeline run page is improved.
- If you are using the AI Units licensing model, AI Robots are no longer displayed in the Licensing page.
- Required fields from the Data Labeling Session / Create New form are now marked as Required with an asterisk.
- Fixed an issue where in certain situations a Data Labeling session was not created.
- Fixed an issue where skill deletion was not retried in case of
kubernetes operation failure. - Fixed an issue where in some cases users are added by defaults to projects without having any permissions assigned.
- Previously, if a skill was deleted while a deployment is in progress, an alert was raised and the deployment failed. This is now fixed and no alert is raised in this case.
