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.
-
Underlying storage account for Machine Learning Service Workspace should be HTTPS only
Currently the MLSW triggers Azure security toolkit & security center alarms because the default configuration of underlying storage account allows http traffic.
3 votes -
PYTHON into Azure
Would be great to see Microsoft investing in Python, in order to embedded it into the Azure Machine Learning.
2 votes -
Option to allow training for more than 24 hours
The utilities available in ML Studio is really convenient for me, however my dataset (around 1m rows) is taking too long to train, and I am only using a 2 layer FC NN. I think most of us won't mind paying for it.
2 votes -
Migration from Azure Machine Learning Studio to Visual Interface
Ideally this should be done automatically for us, but I'd be happy with an export/import flow that lets us migrate manually.
2 votesDear 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 -
Add possibility to pass parameters to scoring script when deploying an image
When deploying an image to AML Service, the path of the scoring script is given to the method using the execution_script parameter: ContainerImage.image_configuration(execution_script='score.py', ...). However, there is no argument for passing values to script parameters, which are needed in the init() function to do stuff like fetching passwords from Key Vault and getting sample data for the schema.
Please add the possibility to pass parameters to the scoring script when deploying and image to AML Service. For example, when creating a Python script step in an AML Pipeline, we can add these parameters as follows: PythonScriptStep(script_name='train.py', arguments=['--workspace_name', 'MyWS', '--model_path', './my_model.pk'].…
2 votesDear 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 -
Please, Add Japanease at Azure Machine Learning Home
I am using azure Machine Learning Studio at Home.
But it displays only English. I want to use with Japanese.
So, Please, Add Japanese at Azure Machine Learning Home(https://studio.azureml.net/)2 votes -
More informative error message when building the docker image fails.
I was trying to deploy a scoring pipeline on Azure using AML SDK in Python. The scoring pipeline needs fbprophet library to train the forecasting model on the fly, and forecast for the future. I added fbprophet into the pip install in the myenv.yml by using myenv.add_pip_package("fbprophet"). Then, the step of building the image failed.
The error message did not have any information helpful for debugging. Although there might be somewhere with more detailed logs, but I had no clue where to find the logs. I had to google around for any possible reason.After being blocked by this error…
2 votesThank you very much for your detailed feedback. We will work through these action items you’ve noted.
-
Can the Webservices from Azure ML Model Output consumed by Tableau server or desktop? How output of AML models viewed in tableau?
AML model predictions in Tableau will make a data science and visualization story complete from user perspective. Tableau should integrate and consume AML Webservices APIs and view output of models .
1 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
hypertune_config = HyperDriveRunConfig()
hyperdrive_run = exp.submit(config=hypertune_config)
hyperdrive_run# no way to add a description tag here
model = best_run.register_model(model_name='model', model_path='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 vote -
Azure Machine Learning Studio should be supported for touchscreen use
Azure Machine Learning Studio requires use of a computer with a mouse for Drag and Drop. One cannot drag using an iPad touch screen for example.
This may require an app for IOS and a corresponding one for Android devices to enable ML Studio to be supported by devices.1 vote -
excel
ML Excel extension support MAC version
1 vote -
Provide ability to do real Machine Learning in Europe North
Currently on NCv1 with the ancient K80's that Google do not even give away for free on Google Colab is available in North Europe.
We have huge amounts of data in NE and thus it would be impossible or at least extremely cost prohibitive to move this data over to WE, where there are V100-NCv3 GPU's.
Even the NCv3 instances are ridiculously underpowered for SOTA ML work.Just to give some perspective on how excruciatingly slow these are to work with:
My private gaming PC at home running a single 2080ti has 2.5x TensorFlops of a NCv1 running 4 K80…1 vote -
Azure ML Chain
Most of the real life applications of ML need layered chained algorithms wherein output of one algorithm will be fed into input of another.
Can we see new module in Azure ML for Chain models to choose from in a drag and drop fashion.
1 vote -
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 vote -
keras in R
Need support for Keras in R
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 -
Update SQLite version
Currently, it seems that the Apply SQL Transformation module uses SQLite version 3.8.6. Could you update it newer one? As of 2019/05/01, the newest version is 3.28.0. It supports new SQL feature like window function, some useful extensions like Geopoly, and many performance enhancements.
1 vote -
Model data collection for ACI deployed models
As far as I can tell from the documentation it is only possible to enable data collection on models deployed AKS. In scenarios where it is not desirable to create and manage Kubernetes in a production environment it would be useful to have this feature also for ACI based deploys.
1 vote -
error during "ws = Workspace.from_config()"
When I run the command "ws = Workspace.from_config()" in the notebook I get an error. The error is "AuthenticationException: You don't have access to d9c30d04-f393-4fbb-87fa-4b75ef106734 subscription. All the subscriptions that you have access to = [SubscriptionInfo(subscription_name='P-CSA 250$', subscription_id='13c3cc54-b676-4845-9974-a4e7f6c8b175')]. Please run 'az login' or set d9c30d04-f393-4fbb-87fa-4b75ef106734 as default subscription and retry". The subscription d9c30d04-f393-4fbb-87fa-4b75ef106734 exists. It is on this subscription that I have created the machine learning workspace.
1 vote -
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
- Don't see your idea?