I'm completely new to Azure ML, but I wanted to try out their automated ML UX. So I've followed the instructions to finally deploy my app (https://learn.microsoft.com/en-us/azure/machine-learning/service/how-to-create-portal-experiments#deploy-your-model). Now I've got my "Scoring URI", but I don't know how to use it? How can I test an input and get an output - can I do it with Postman?
the tutorial doesn't tell me what to do with this "Scoring URI", and so I am stuck
On the bottom of the page that you have linked above, there is a link:
Learn how to consume a web service.
This is exactly on that topic on how to use the deployed web service for scoring (sending an input and getting an output).
Related
I am working on a project to create an AI Chatbot. For that, I have built an NLP model. After making the bot, I deployed this bot on Azure. But It is not responding to anything after getting messages from users. Whereas, It was working and answering correctly on localhost. Does anyone know the exact way of deploying NLP models on Azure? Any proper documentation will be highly appreciated.
You can find the Github repo here- Link
This could be the required documentation you are looking for deploying the NLP on azure platform enter link description here
I am trying to integrate MS Dynamics Customer Insights (CI) with the model I have built within the new Azure Machine Learning (designer). Currently, I see there is only an integration between CI and Azure Machine Learning studio (classic).
I have deployed my model behind a web service (REST) within new Azure Machine Learning however it is not getting picked up in CI. However, I am able to score/generate predictions from the API using a Python script.
Please recommend a way to integrate these two MS services or suggest an architecture where CI can pick up the results.
Here are some hands-on labs which walk through the complete lifecycle for integrating Dynamics 365 Customer Insights with Azure data services. One scenario seen in Lab 5 is integrating the results of an Azure Machine Learning model back into Customer Insights. That walkthrough should give you one good way of accomplishing that task.
I totally agree that there's a real opportunity for a more seamless integration between Azure ML and D365 (including CI). For me, I'm thinking about how cool would it be to have an ML Dataset be automatically created with D365 data that could be used in the ML designer. After which the winning model could be registered, then made available inside D365 as a field that would score things in real time.
If you an "idea" on the forum below. My team and I will upvote it!
https://experience.dynamics.com/ideas/
I'm currently trying Azure Logic Apps and Integration Services.
I always get an IntegrationAccountNotReady error message, when I'm trying to transform a XML-File with Azure Logic Apps and an Azure Integration Account.
The message says I should try it again later. However, I waited 5 days with no success.
My Logic App and the Integration Account are successfully connected.
Here is my flow:
On File Changed Trigger (One Drive) - Works as expected
Tranform XML - The error is raised
Is there any easy solution to solve this problem?
Regards,
Florian
I tried it again and again. Finally it worked - without any changes in my configuration, integration service or logic app. Strange...
Sorry I got no better answer to this...
I had a similar problem. Refreshing the Resources in Dashboard solved it immediately.
I was wondering if someone can shed some lights on the application monitoring and alerting solution that's being used to specifically monitor the Azure app service. We have multiple API apps running on App service service and we would like to monitor certain metrics (ex: Availability, response time, number of request received, etc). I enabled the application insight on each of these apps and the result is quite promising, it fulfills all my requirement, but there's one small issue: I need to scroll through each app to see their performance. I can't aggregate them all in one space. I would like to create a centralized dashboard for all aforementioned metrics and have them displayed. I tried using OMS but it seems to be lacking a lot of functionality.
Any pointer would be very appreciated.
I wrote recently about it on our blog: http://predica.pl/blog/azure-monitoring-and-auditing/ - you will find link to MS documentation also there.
If you are using App Insights already you should be able to pick things from App Insights and put it on the Azure portal dashboard. Other than that probably getting data into Power Bi application insight is your best shot - https://powerbi.microsoft.com/en-us/documentation/powerbi-content-pack-application-insights/
I have created mobile app and wanted to use Easy Table and Easy APIs. However whenever I go to that location it shows "Unsupported Service".
Below is the image link of my azure account console.
Thanks in advance.
Easy Tables and Easy APIs are (currently) only supported for Node (Mobile Apps or Migrated Mobile Service) applications, not for .NET applications.
Please see the following thread for more details https://social.msdn.microsoft.com/Forums/silverlight/en-US/07ee8c8a-a2fc-47ad-aca4-2ec4b5e8ac4a/enabling-mobile-extension-for-your-app-runs-forever?forum=azuremobile
You can use Easy Tables with a .Net backend. I ran into the same problem following the Quick Start steps posted by Microsoft. What you want to do is delete your application in the portal, create a new one, setup the database, then click Easy tables. It will initialize for you using the database you created.
Do not click on any Quick Start links.