SKLearn To Azure ML

David Crook shows how to build a model using Python’s SciKit library and then operationalize it in Azure ML:

Why Model Outside Azure ML?

Sometimes you run into things like various limitations, speed, data size or perhaps you just iterate better on your own workstation.  I find myself significantly faster on my workstation or in a jupyter notebook that lives on a big ol’ server doing my experiments.  Modelling outside Azure ML allows me to use the full capabilities of whatever infrastructure and framework I want for training.

So Why Operationalize with Azure ML?

AzureML has several benefits such as auto-scale, token generation, high speed python execution modules, api versioning, sharing, tight PaaS integration with things like Stream Analytics among many other things.  This really does make life easier for me.  Sure I can deploy a flask app via docker somewhere, but then, I need to worry about things like load balancing, and then security and I really just don’t want to do that.  I want to build a model, deploy it, and move to the next one.  My value is A.I. not web management, so the more time I spend delivering my value, the more impactful I can be.

Read the whole thing.

Related Posts

TempDB In Azure IaaS

Jim Donahoe shows how to use the temporary SSD on an Azure VM for SQL Server’s tempdb: Remember, this disk is as the title of this section says…TEMPORARY! Do NOT put ANYTHING on this drive you cannot afford to lose. Don’t say nobody warned you either, because the drive itself contains a nice little txt file warning you, here […]

Read More

Assigning Tags In Azure

Melissa Coates shows how to assign tags to resources in Azure using Powershell: You can assign tags for resource groups, as well as individual resources which support Azure Resource Manager. The individual resources do not automatically inherit tags from the resource group parent. A maximum of 15 key/value pairs can be assigned (though you could store […]

Read More

Categories

October 2016
MTWTFSS
« Sep Nov »
 12
3456789
10111213141516
17181920212223
24252627282930
31