检测到您已登录华为云国际站账号，为了您更好的体验，建议您访问国际站服务网站 https://www.huaweicloud.com/intl/zh-cn
不再显示此消息
检测到您已登录华为云国际站账号，为了您更好的体验，建议您访问国际站服务网站 https://www.huaweicloud.com/intl/zh-cn
不再显示此消息
Managing a Workflow Starting a Workflow Log in to the ModelArts console. In the navigation pane, choose Development Workspace > Workflow. You can run a workflow in any of the following ways: On the workflow list page, click Start in the Operation column. In the displayed dialog box
Creating Resources This best practice uses a VPC, an SFS Turbo HPC file system, an OBS bucket, and a ModelArts resource pool. To achieve optimal acceleration performance, you are advised to select the same region and AZ for the SFS Turbo HPC file system and ModelArts resource pool
Basic Configurations Configuring Network Passthrough Between ModelArts and SFS Turbo Configuring SFS Turbo and OBS Interworking Configuring Auto Data Export from SFS Turbo to OBS Configuring the SFS Turbo Data Eviction Policy Parent topic: Implementation Procedure
Creating a Training Job Create a ModelArts training job based on the SFS Turbo shared file storage. Log in to the ModelArts console. In the navigation pane, choose Training Management > Training Jobs. Click Create Training Job in the upper right corner. On the displayed page, set
Publishing a Workflow Publishing a Workflow to ModelArts Publishing a Workflow to AI Gallery Parent topic: Workflow Development Command Reference
MoXing Commands in a Notebook Instance MoXing Framework Functions Using MoXing in Notebook Introducing MoXing Framework Mapping Between mox.file and Local APIs and Switchover Sample Code for Common Operations Sample Code for Advanced MoXing Usage Parent topic: Using Notebook for AI
Configuring Text Analysis Searching for Inspection Results Based on Keywords Viewing the Word Frequency Collecting Text Analysis Indicator Statistics Configuring Custom Indicators Managing Indicator Categories Customer Satisfaction Analysis Service Quality Analysis Parent topic: Managing AI
Example: Obtain events of a specified training job. ma-cli ma-job get-event --job-id b63e90baxxx Using ma-cli ma-job get-engine to Obtain the AI Engines Used by ModelArts Training Jobs Run the ma-cli ma-job get-engine command to obtain the AI engines used by ModelArts training jobs
Parent topic: Using Notebook for AI Development and Debugging
Creating a Training Job Create a ModelArts training job based on the SFS Turbo shared file storage. Log in to the ModelArts console. In the navigation pane, choose Training Management > Training Jobs. Click Create Training Job in the upper right corner. On the displayed page, set
Parent topic: Using Notebook for AI Development and Debugging
Using Notebook Instances Remotely Through PyCharm Connecting to a Notebook Instance Through PyCharm Toolkit Manually Connecting to a Notebook Instance Through PyCharm Uploading Data to a Notebook Instance Through PyCharm Parent topic: Using Notebook for AI Development and Debugging
Uploading Files to JupyterLab Uploading Files from a Local Path to JupyterLab Cloning GitHub Open-Source Repository Files to JupyterLab Uploading OBS Files to JupyterLab Uploading Remote Files to JupyterLab Parent topic: Using a Notebook Instance for AI Development Through JupyterLab
Connecting to a Notebook Instance Through PyCharm Toolkit AI developers use PyCharm to develop algorithms or models. ModelArts provides the PyCharm Toolkit plug-in to help AI developers quickly submit locally developed code to the ModelArts training environment.
Collecting Text Analysis Indicator Statistics The text analysis indicator statistics function is used to query call record statistics after AI inspection is complete.
Parent topic: Using a Notebook Instance for AI Development Through JupyterLab
Notebook Instances Remotely Through VS Code Connecting to a Notebook Instance Through VS Code Connecting to a Notebook Instance Through VS Code Toolkit Manually Connecting to a Notebook Instance Through VS Code Uploading and Downloading Files in VS Code Parent topic: Using Notebook for AI
Saving a Notebook Instance To save a notebook environment image, do as follows: Create a notebook instance using a preset image, install custom software and dependencies on the base image, and save the running instance as a container image. After the image is saved, the default working
Searching for a Notebook Instance Searching for an Instance All created instances are displayed on the notebook page. To display a specific instance, search for it based on filter criteria. Grant the permission to the IAM user for viewing all notebook instances. Log in to the ModelArts
Creating a Workflow To create a workflow, define each phase by referring to Creating Workflow Phases. Follow these steps: Sort out scenarios, understand preset steps' functions, and determine the DAG structure. Debug single-phase functions like training or inference on ModelArts.
