This topic describes the major release notes for Machine Learning Platform for AI (PAI) in 2022 and provides links to the relevant references.
November 2022
Feature | Description | Release date | Supported region | References |
Support for querying the updates of Data Science Workshop (DSW) instances | You can view the changes to the states of a DSW instance throughout the lifecycle of the instance. You can view the details of a DSW instance and change its configurations. | 2022-11-18 | All regions |
September 2022
Feature | Description | Release date | Supported region | References |
Support for the service grouping and asynchronous inference features in Elastic Algorithm Service (EAS) | When you create an EAS service, you can specify the service group to which the EAS service belongs. The service group has a unified ingress. The ingress allocates traffic to each EAS service based on the traffic allocation policy. You can also specify the traffic allocation ratio of each service in a service group to ensure high resource utilization. PAI provides the queue service and asynchronous inference features. These features allow you to consume inference services by distributing requests, subscribing to requests and pushing inference results, or periodically querying inference results. | 2022-09-30 | All regions |
August 2022
Feature | Description | Release date | Supported region | References |
New algorithm components | Machine Learning Designer provides a variety of new training and prediction components, including XGBoost, Density-Based Spatial Clustering of Applications with Noise (DBSCAN), Gaussian Mixture Mode (GMM), Ridge Regression, and Lasso Regression. You can find and use the components in the left-side directory tree of components on the Machine Learning Designer platform. | 2022-08-02 | All regions |
July 2022
Feature | Description | Release date | Region | References |
Python Script added | The Python Script component is added to Machine Learning Designer of PAI. You can use the component to develop custom algorithms. You can also use the component together with the pre-set algorithms of PAI to support more scenarios. | 2022-07-15 |
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Machine Learning Designer available in the India (Mumbai) and US (Virginia) regions | Machine Learning Designer of PAI is available in the India (Mumbai) and US (Virginia) regions. To use Machine Learning Designer in these regions, log on to the PAI console, select one of the regions in the top navigation bar, and then create a workspace. | 2022-07-05 |
| None |
Automatic stress testing available | The automatic stress testing feature is available for EAS. You can use EAS-benchmark, a distributed stress testing tool, to create stress testing tasks for prediction services that are deployed in EAS. | 2022-07-04 |
| N/A |
June 2022
Feature | Description | Release date | Region | References |
Visualized analytical reports supported | Analytical reports can be visualized by using Tensorboard. Visual deep learning components of Machine Learning Designer allow you to use the Tensorboard dashboard to view visualized analytical reports. On the dashboard, you can view visualized feature importance evaluation, correlation analysis, and scatter charts. | 2022-06-22 |
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Machine Learning Designer available in the China (Hong Kong) region | Machine Learning Designer is available in the China (Hong Kong) region. Machine Learning Designer provides hundreds of self-developed machine learning algorithms and tens of industry templates. You can use them as needed in the PAI console. | 2022-06-20 | China (Hong Kong) | None |
May 2022
Feature | Description | Release date | Region | References |
Available in Singapore and US (Silicon Valley) | Machine Learning Designer is available in the Singapore and US (Silicon Valley) regions. Machine Learning Designer provides hundreds of self-developed machine learning algorithms and dozens of industry templates. You can use them as needed in the PAI console. | 2022-05-10 |
| None |
April 2022
Feature | Description | Release date | Region | References |
Fully-managed Flink resources supported | Fully-managed Flink resources can be purchased and associated with workspaces. Then, you can use multiple components or use the PyAlink Script component alone to build pipelines for large-scale distributed training of models. | 2022-04-30 | Germany (Frankfurt) | |
New anomaly detection, recommendation, data source, and custom algorithm components added | Components including PyAlink Script, Read CSV File, IForest Outlier, LOF Outlier, One-Class SVM Outlier, and Swing Recommendation are added to Machine Learning Designer. The PyAlink Script component allows you to call hundreds of algorithms that are under the Alink framework. | 2022-04-16 | Germany (Frankfurt) |
March 2022
Feature | Description | Release date | Region | References |
Machine Learning Designer available in the Germany (Frankfurt) region | Machine Learning Designer is available in the Germany (Frankfurt) region. Machine Learning Designer provides hundreds of self-developed machine learning algorithms and tens of industry templates. You can use them as needed in the PAI console. | 2022-03-30 | Germany (Frankfurt) | None |
TensorFlow 2.7 supported by PAI-Blade | TensorFlow 2.7 is supported by PAI-Blade. You can select a version based on your needs. | 2022-03-27 | All regions | None |
DSW available in five regions | DSW is available in five regions including Singapore. You can create DSW instances and use DSW features to build and train models in these regions. | 2022-03-21 |
| None |
CronHPA feature supported, and gRPC and WebSocket protocols supported for image deployment and release | The CronHPA feature is available in EAS. This feature allows you to perform scheduled auto-scaling on service instances. In addition, EAS supports the deployment of services by using the open source TensorFlow Serving system or the Triton software. | 2022-03-21 |
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