Hi, When I responded. I was under the impression that you were using AML services and not AML Studio. For AML services, there is an option to choose low priority VM. https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-set-up-training-targets
I’m not familiar with AML Studio so I am going to leave this question open. If you are new to AML studio and the adoption to AML services, isn’t going to be too high, it maybe worth considering using AML services.
Thank you and Happy New Year!
Are you using low priority queue or dedicated? I'm assuming low priority queue because of your title. If you select dedicated, then, you should not have any 24 hour restriction.
Thanks for the feedback. In this case, would you have any requirements as to how users would be able to access the computer or how the access control would need to be managed?
We are reviewing this internally. Thanks for the feedback. If you have any other feedback related to role based scenarios, please do let us know.
Azure ML dataprep sdk allows you to read line separated json files from Azure blob storage. In addition the SDK has rich set of features for transformations and preparing the data for machine learing.
You can get the sdk and the associated documentation from the below links. You can also find a link to example notebook for reading json files below
the sdk also allows to convert the data from its format to Python dataframe.
Thanks, Nathan for your feedback. We have just released a preview feature that enables deployment of Spark ML models.
Information can be found here: https://github.com/Azure/Spark-Operationalization-On-Azure
We have added a new feature called the Notebook Service that allows launching Jupyter with Python 2 and 3 support from Azure ML.
We also released a new feature that enables publishing models and functions as web services directly from Python - running locally (e.g. on Jupyter). The following blog post provides an example on how to use this feature.
13 votesplanned · Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure) responded
This feature is on our roadmap.
We have released a new feature that enables publishing models and functions as web services directly from Python - running locally (e.g. on Jupyter) or from the Azure ML Notebook Service. The following blog post provides an example on how to use this feature.
71 votesplanned · Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure) responded
PowerBI is on the roadmap.
Thank you for your suggestion Kashi. We have PowerBI integration on our roadmap although I cannot commit to a timeline.
21 votesunder review · Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure) responded
Nupic is a deep learning algorithm that Numenta is developing and promoting. The closest thing that is currently part of AML is building a multi-layered, neural network, but there are lots of fundamental differences between NuPIC and vanilla neural networks. It will take a substantial amount of engineering for it to be incorporated, and we will evaluate if it will fit in the backlog.
Hi Anthony, thank you for your suggestion. I reached out to our data science team to see if there are any obvious synergies.