How to Install and Uninstall python39-azure-ai-ml Package on openSuSE Tumbleweed

Last updated: November 24,2024

1. Install "python39-azure-ai-ml" package

Please follow the guidelines below to install python39-azure-ai-ml on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python39-azure-ai-ml
            
                    
    
    Copied

2. Uninstall "python39-azure-ai-ml" package

Learn how to uninstall python39-azure-ai-ml on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python39-azure-ai-ml
            
                    
    
    Copied

3. Information about the python39-azure-ai-ml package on openSuSE Tumbleweed

Information for package python39-azure-ai-ml:
---------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-azure-ai-ml
Version : 1.13.0-1.2
Arch : noarch
Vendor : openSUSE
Installed Size : 103.4 MiB
Installed : No
Status : not installed
Source package : python-azure-ai-ml-1.13.0-1.2.src
Upstream URL : https://github.com/Azure/azure-sdk-for-python
Summary : Microsoft Azure Machine Learning Client Library for Python
Description :
We are excited to introduce the public preview of Azure Machine Learning Python
SDK v2. The Python SDK v2 introduces new SDK capabilities like standalone local
jobs, reusable components for pipelines and managed online/batch inferencing.
Python SDK v2 allows you to move from simple to complex tasks easily and
incrementally. This is enabled by using a common object model which brings
concept reuse and consistency of actions across various tasks. The SDK v2 shares
its foundation with the CLI v2 which is currently in also in public preview.
This package has been tested with Python 3.6, 3.7, 3.8, 3.9 and 3.10.