Trained Python Models

Koos van Strien wants to bring a trained Python model into Azure ML:

The path of bringing a trained model from the local Python/Anaconda environment towards cloud Azure ML is globally as follows:

  1. Export the trained model

  2. Zip the exported files

  3. Upload to the Azure ML environment

  4. Embed in your Azure ML solution

Click through to see the details.  Koos did a great job making it look easy.

Related Posts

Working With Azure SQL Managed Instances

Jovan Popovic has a couple of posts covering configuration for Azure SQL Managed Instances.  First, he looks at how to configure tempdb: One limitation in the current public preview is that tempdb don’t preserves custom settings after fail-over happens. If you add new files to tempdb or change file size, these settings will not be preserved after fail-over, and […]

Read More

Flushing The Authentication Cache

Arun Sirpal describes an Azure SQL DB-only DBCC command: This command only applies to Azure SQL Database, at a high level it empties the database authentication cache for logins and firewall rules for the current USER database. In Azure SQL Database the authentication cache makes a copy of logins and server firewall rules which are […]

Read More


September 2016
« Aug Oct »