Machine Learning
Welcome! The Azure Machine Learning team invites you to share and vote for features to help you build, manage, and deploy custom machine learning models.
Have a technical question, or want to learn more? Please visit our documentation, MSDN forum or StackOverflow.
-
Is there a way to attach Data Bricks Cluster which is in a different resource group
Is there a way to attach Data Bricks Cluster which is in a different resource group
1 vote -
Upload a new dataset from Excel.
There are no possible import from excel - http://prntscr.com/pda67v
All time I have a problem, when I want to import from CSV, which I create from excel to csv. All time it shows one column all time. For example - http://prntscr.com/pda8w0 I can't get separated columns.
If someone know solution, please tell me.1 voteHi Azure customer,
Thanks for reaching out to us. Could you please provide more details about this feedback? Which product you are referring to?
Regards,
Azure CXP Community -
When are you planning to upgrade the CRAN R version on ML. Is this an option or not on the cards for the near future?
Is this on your road map or not? Need to know for purposes of functional technology
1 voteDear Azure Customer,
Thanks for the feedback. Your feedback is very important to us. We will investigate it and get back to you soon.
Thank you for understanding.
Azure CXP Community -
support for value added reseller scenarios
suppose you want to build azure ml into an application targeted at non-technical users, and you wanted to
- allow them to try out a machine learning feature of your application by using a trial (no-credit-card) version of azure ml studio
- offload management of the ml trial period and quota (trial licensing security) to azure
- provision the free azure ml studio account with an arm templateis any of this possible right now? will it ever be?
1 vote -
Please add function to enable distributed processing with Azure Machine Learning Studio itself.
Please enable distributed processing with Azure Machine Learning Studio itself.
When I do data analysis with module, an error occurs if the work time exceeds 24 hours.
So, To reduce processing time, please add function to enable distributed processing with Azure Machine Learning Studio itself.1 vote -
Pivot and unpivot needed come on this is common datascience component
Pivot and unpivot needed come on this is common datascience component
1 vote -
Allow UPDATE a table in Export Data transformation
Currently I can only INSERT rows to SQL table in my SQL Server in Azure using Export Data transformation.
It would be useful to allow also UPDATE in cases when we need to update prediction scores of already "predicted" probabilities in the target table.
Thanks1 vote -
Add description tag for azureml.train.hyperdrive
Currently when registering a best run model from a hyperdrive run instance, there is no way to add model description.
e.g:
from azureml.train.hyperdrive import HyperDriveRunConfig
hypertuneconfig = HyperDriveRunConfig()
hyperdriverun = exp.submit(config=hypertuneconfig)
hyperdriverunno way to add a description tag here
model = bestrun.registermodel(modelname='model', modelpath='outputs/model.pkl')
The current workaround is to re train a single model after finding the best run parameters and registering the model with the description that way. This is cumbersome
1 voteDear Azure Customer,
Thanks for the feedback. Your feedback is very important to us. Our engineering team will investigate it and consider your feedback seriously. We will get back to you soon.
Thank you for understanding.
Azure CXP Community -
Step by Step web response request service web app
Please make a web app step by step request response tutorial from a ML azure studio experiment, for non native coder people is confusing to set up the service and make it available to the end user.
1 vote -
Show summary in run history
Show the summary in run history so that you can more easily track your iterations in your experiment
1 voteDear Azure Customer,
Thanks for the feedback. Your feedback is very important to us. Our engineering team will investigate it and consider your feedback seriously. We will get back to you soon.
Thank you for understanding.
Azure CXP Community -
Improve model portability
Allow easy identification of all of an ML studio models components and exporting of these to new workspaces. Currently copying has major limitations such as data set size, workspace location etc. Datasets get duplicated when used in multiple models during the copy etc. It should be possible to select and copy multiple experiments or projects and have the copy process bring along everything that is needed including training experiments, predictive experiments, transformations and web service parameters etc. without creating duplication.
1 voteDear Azure Customer,
Thanks for the feedback. Your feedback is very important to us. Our engineering team will investigate it and consider your feedback seriously. We will get back to you soon.
Thank you for understanding.
Azure CXP Community -
Please provide Azure datalake as a source.
, Either you can provide data source like you have provided in data factory where we are open to connect cross platform connection as source.
1 voteDear Azure Customer,
Thanks for the feedback. Your feedback is very important to us. Our engineering team will investigate it and consider your feedback seriously. We will get back to you soon.
Thank you for understanding.
Azure CXP Community -
Make warning that optimiation hasn't converged more apparent.
The evaluation of my Multiclass Neural Network wasn't all that good. In looking to see what might have gone wrong, I came across a curious warning message in the training logs:
/azureml-envs/azureml1f1665f56e65fc1b774765297713b3cf/lib/python3.6/site-packages/sklearn/neuralnetwork/multilayer_perceptron.py:562: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.It would be good if this warning was more obvious. I'm re-running now with >100 iterations, but wouldn't have known to do this if I didn't comb through the logs.
1 voteDear Azure Customer,
Thanks for the feedback. Your feedback is very important to us. We will investigate it and get back to you soon.
Thank you for understanding.
Azure CXP Community -
Limit of experiments in a workspace
Is there a limit of how many experiments can we create in one workspace? Is there a limit of how many runs can we create in one experiments?
1 voteHi Azure Customer,
We do not have limits on pipelines runs or limits on pipelines per workspace at this point in time (not sure if we want to introduce limits as part of the SKU/billing effort).
We have a limit on the size of a pipeline (30,000 nodes) and the numbers of schedules that will trigger pipelines per month (100,000)We will update our document to make it clear. Thank you.
Regards,
Azure CXP Community -
Create notebook from docker image
I'd like to create a notebook from a docker image in my private container registry so that I can test out the pieces of my azure ml experiment that failed. It seems like you can't create a notebook with a docker image or conda environment which makes it tedious to set up a custom environment. Thanks for considering this feature!
1 vote -
Don't silently fail when an ARM template attempts to change an unchangable parameter
When an ARM template attempts to change a workspace parameter that cannot be changed (such as hbiWorkspace), the template deployment succeeds without any error or notice even though the parameter specified in the template has not taken effect.
This is counterintuitive at best, and also inconsistent with how other Azure resources work: those do throw an error when you try to change an unchangable parameter using an ARM template.
Please fix this by always failing the ARM template deployment when the template tries to change an unchangable parameter.
0 votes -
tensorboard profiler is absent from azureml-tensorboard
It's not installed when you start a cluster with azureml. To fix, pip install -U tensorboard-plugin-profile where tensorboard is run. Without this, ppl using AzureML can't easily profile memory use or IO of their models as models are training or doing inference. I can't find any guides on how to do this with Azure ML.
0 votes -
ML Services: View registered datastores and datasets in the workspace GUI blade
The ability to be able to register datasets and datastores is really powerful. Currently, if I register datasets / datastores and their metadata with the SDK, I can't find them in the workspace GUI in the portal (where I see my experiments / runs / compute / registered models etc) - I have to list them programmatically.
It would be great if there were a tab added to the workspace portal blade so that I could see all the datasets / datastores, the metadata I have added to them, their version history etc.
0 votesHi Azure Customer,
Thank you for your feedback here. Your feedback has been forwarded to engineering team and is currently under review.
We will get back to you soon once we have any update.
Thank you for your understanding.
Regards,
Azure CXP Community -
support deployment for TF2.0
it is un-acceptable that training support TF2.0, but deployment doesn't.
1 voteHi Azure Customer,
Thanks for the feedback. Could you please provide more details about your scenario? Which product you are referring to? Thanks again.
Regards,
Azure CXP Community
- Don't see your idea?