To connect to a Machine Learning web service, the Microsoft.AspNet.WebApi.Client Nuget package must be installed.
After installing WordPress on Azure using this “how to” : https://azure.microsoft.com/it-it/documentation/articles/app-service-web-create-web-app-from-marketplace/
You will have a website with an address like this: http://examplewp.azurewebsites.net
Now you have to set the CNAME on the provider’s DNS of your hosting because you want your wordpress site points to http://www.mydomain.com. You can use this “how to” : https://azure.microsoft.com/en-us/documentation/articles/web-sites-custom-domain-name/
Now go into your wordpress site, in the general configuration.
You have to change WordPress address (URL) and Site address (URL). from http://examplewp.azurewebsites.net to http://www.mydomain.com
If you are considering trying the Microsoft Azure Machine Learning Microsoft and you are going to take the data from an Azure storage, remember that at this time (August 2016), the AML is available only in SouthEast Asia, West Europe and South Central US
Since there are these limitations be careful to create storage in one of these three regions.
For those of you who are experiencing with Microsoft Azure Machine Learning, a short note on importing csv files to build your own dataset. If you produce a csv using Microsoft Excel in a nation where thedecimal separator is “comma” (Italy in my case) , you will get a file that has “comma” (,) as decimal separator and “semicolon” (;) as field separator.
This format is not compatible with AML and should be brought to the American standards: “the dot” (.) As decimal separator and “comma” (,) as the field separator.
Open with notepad your csv:
Transform your decimal separator: from comma to dot
Transform the separator of fields: from semicolon to comma