This topic describes the documentation updates for new features and updates of Machine Learning Platform for AI (PAI) in 2020.
December 2020
Date | Update item | Type | Description | References |
2020.12.30 | Overview of Data Science Workshop (DSW) editions | New feature | This topic describes the features, instance types, and supported zones of DSW editions. The editions are Individual Edition, GPU On-sale Edition, and Explorer Edition. | |
2020.12.30 | Image object detection | New feature | This topic describes how to use a trained model of EasyVision to perform offline object detection. |
November 2020
Date | Update item | Type | Description | References |
2020.11.30 | Elastic Algorithm Service (EAS) | Optimization | You can use EAS to deploy a model as a RESTful API and then call the API by sending HTTP requests. EAS provides features such as auto scaling and blue-green deployment. These features allow you to use the online algorithm model service with high concurrency and stability at a low resource cost. |
October 2020
Date | Update item | Type | Description | References |
2020.10.24 | Object detection by using EasyVision | New feature | PAI provides EasyVision, which is an enhanced algorithm framework for visual intelligence. EasyVision provides a variety of features for model training and prediction. You can use EasyVision to train and apply computer vision models for your computer vision applications. This topic describes how to use EasyVision in DSW to detect objects. | |
2020.10.24 | Online debugging by using WebIDE | New feature | This topic describes how to use WebIDE of DSW to debug the Python code in a notebook online. A sample notebook is provided by DSW. |
September 2020
Date | Update item | Type | Description | References |
2020.09.21 | Smart labeling | Optimization | This topic describes how to label data. | |
2020.09.21 | Billing of EAS | Optimization | This topic describes the billing rules for EAS of PAI. |
August 2020
Date | Update item | Type | Description | References |
2020.08.25 | Deep Learning Containers (DLC), a cloud-native platform on which you can train deep learning models | New feature | This topic describes how to use the DLC platform to prepare for deep learning tasks and how to manage clusters and deep learning tasks. | |
2020.08.14 | Data preparation | New feature | This topic describes how to create datasets and label data. | |
2020.08.14 | Quick Start | New feature | This manual describes how to create an experiment in Machine Learning Studio. | |
2020.08.10 | Pricing | Optimization | This manual describes how to purchase services that are provided by PAI and the related billing rules for its services. |
July 2020
Date | Update item | Type | Description | References |
2020.07.22 | Computer vision model training | New feature | You can label training data, train common computer vision models, and deploy models. Models that are developed on the mobile platform are optimized. You can test your model on your mobile phone by scanning the QR code of the model. | N/A |
2020.07.22 | RAM user authorization | Optimization | If you want to manage instances and train models as a RAM user, you must first use your Alibaba Cloud account to grant permissions to the RAM user. | |
2020.07.22 | Object Storage Service (OSS) authorization | Optimization | You must grant permissions to the OSS role that is assigned to AutoLearning before AutoLearning can assume this role to retrieve source data from OSS. |