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

Executing ML Services Scripts From Jupyter Notebooks

Kyle Weller has an inception moment with Python and SQL Server Machine Learning Services: While this example is trivial with the Iris dataset, imagine the additional scale, performance, and security capabilities that you now unlocked. You can use any of the latest open source R/Python packages to build Deep Learning and AI applications on large […]

Read More

New Features In Public Preview On Azure SQL Database

Microsoft has a round of announcements for public previews on Azure SQL Database.  First up is Kevin Farlee announcing approximate count distinct: The new APPROX_COUNT_DISTINCT aggregate function returns the approximate number of unique non-null values in a group. This function is designed for use in big data scenarios and is optimized for the following conditions: Access of […]

Read More

Categories

September 2016
MTWTFSS
« Aug Oct »
 1234
567891011
12131415161718
19202122232425
2627282930