Machine Learning
Welcome! You can use this site to tell the Azure Machine Learning team what features you would like to see.
Azure Machine Learning enables developers and data scientists to build advanced analytic web services in minutes and hours, eliminating the heavy lifting associated with deploying machine learning in modern data driven applications.
-
Azure ML support for DocumentDB
I wish to implement a project using the new DocumentDB service offered by Azure, which eventually I wish to apply machine learning on the dataset. However, I understand that Azure ML does not currently support ingressing from DocumentDB. Would Azure ML be supporting the ingressing of DocumentDB soon, as this would be the deciding factor on my decision on whether to use DocumentDB or not eventhough the DocumentDB is the ideal datastore implementation for the project. If Microsoft Azure ML be offering the same tight and first class integration for DocumentDB as it does for the other Microsoft datastore options,…
120 votesstarted ·
Adminmluservoice
(Program Manager, Microsoft Azure Machine Learning, Microsoft Azure)
responded
DocDB Reader work is underway.
-
More Help on Error 0000: Internal Error's
I get lots of these. A little bit more help finding out how to rectify them would be useful. Mainly on the training steps. I suspect its too many columns, but can't tell. Can more information be surfaced in the error logs?
50 votesstarted ·Adminmluservoice
(Program Manager, Microsoft Azure Machine Learning, Microsoft Azure)
responded
We continue to improve error. We have improved many errors and will continue to do more. This is ongoing activity for us
-
Execution failed due to exception:Exception of type 'System.OutOfMemoryException' was thrown.
Eliminate this error or explain what it means. Does it really mean the Studio ML can't evaluate a 700MB dataset for classification due to a lack of memory?
6 votesstarted ·Adminmluservoice
(Program Manager, Microsoft Azure Machine Learning, Microsoft Azure)
responded
We’re reviewing improvements to scalability of Azrue ML. Meanwhile, please consult this document for scalability limits:
https://azure.microsoft.com/en-us/documentation/articles/machine-learning-faq/#scalability
-
K-Means - Show detailed cluster characteristics for each found cluster
Using the K-Means clustering algorithm gives k number of clusters, but there is no description of the characteristics of each cluster (f.x. silhouette values)
6 votesstarted ·Adminmluservoice
(Program Manager, Microsoft Azure Machine Learning, Microsoft Azure)
responded
We’re working on adding evaluation metrics for clustering models.
-
splitstackshape package needed
Would like R package splitstackshape added
2 votesstarted ·Adminmluservoice
(Program Manager, Microsoft Azure Machine Learning, Microsoft Azure)
responded
This request is under review.
-
Provide Azure ML in additional regions
Currently ML is only available in SouthCentral in the US. Is there a roadmap for availability in other regions?
1 votestarted ·Adminmluservoice
(Program Manager, Microsoft Azure Machine Learning, Microsoft Azure)
responded
As of October 2016, Azure ML is now available in these regions:
- US South Central
- Southeast Asia
- West Europe
- Germany CentralWe are should be completely rolled out to these regions in November 2016:
- Japan East
- East US 2
- Don't see your idea?