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How Do I Use ModelArts to Train Models Based on Structured Data?
Updated on 2022-12-06 GMT+08:00
How Do I Use ModelArts to Train Models Based on Structured Data?
For most users, ModelArts provides the predictive analytics function of ExeML to train models based on structured data.
For more advanced users, ModelArts provides the notebook creation function of DevEnviron for code development. It allows the users to create training tasks with large volumes of data in training jobs and use the engines such as Scikit_Learn, XGBoost, or Spark_MLlib in the development and training processes.
Parent topic: General Issues
General Issues FAQs
- What Is ModelArts?
- What Are the Relationships Between ModelArts and Other Services?
- What Are the Differences Between ModelArts and DLS?
- How Do I Purchase or Enable ModelArts?
- How Do I Obtain an Access Key?
- How Do I Upload Data to OBS?
- What Do I Do If the System Displays a Message Indicating that the AK/SK Pair Is Unavailable?
- What Do I Do If a Message Indicating Insufficient Permissions Is Displayed When I Use ModelArts?
- How Do I Use ModelArts to Train Models Based on Structured Data?
- What Are Regions and AZs?
- How Do I View All Files Stored in OBS on ModelArts?
- Where Are Datasets of ModelArts Stored in a Container?
- Which AI Frameworks Does ModelArts Support?
- What Are the Functions of ModelArts Training and Inference?
- How Do I View an Account ID and IAM User ID?
- Can AI-assisted Identification of ModelArts Identify a Specific Label?
- How Does ModelArts Use Tags to Manage Resources by Group?
- Why Is the Job Still Queued When Resources Are Sufficient?
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