Add a grid view allowing to lock blocks at grid position.
Improves view and readability.11 votes
Allow the user to save a list of R objects (dataframes, models, functions, vectors, ...) to an .Rdata zip file.
This would allow the user to build an R model and save it (along with any other R object or function) for use in other R execute blocks.11 votesunder review · Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure) responded
We’re considering different options for improving scripting experience.
It would be great to have one notebook interface that could connect to all the relevant services.
This would also allow us to access notebooks, while a HDInsight cluster is stopped.11 votes
Please make it possible to link a custom repository on github (with custom python code) to a dataset. This makes usage much more convenient instead of uploading a new zip everytime code changes.11 votes
AML Studio gives the ability to change the input and output names for a Web Service. But changing these values does not have any effect, and the published Web Service always uses the default values input1, output1, etc... These values are used in the JSON schema of the Web Service, and it would be nice to be able to change them.
Apparently Microsoft is already aware of this (see https://social.msdn.microsoft.com/Forums/azure/en-US/03e5f824-abad-4e19-b57d-fd3bfc5c7f1e/ml-web-service-inputoutput-names-reverting-to-default). Please fix this issue.11 votes
I'm trying to build a web service that does much more than just taking some already processed data and runs it through a model to determine some classification. This service should be able to take raw data, process to specified format, do some NLP computing on the data using trained databases and return the result to the user. When raw data is larger that around 200kb, the service does not have the time to finish before getting a timeout, and I have no ide why it cannot be extended more than 90s. It could be solved using batch request, but since this is not available if one want to publish to market place, this is not of interest.
I'm trying to build a web service that does much more than just taking some already processed data and runs it through a model to determine some classification. This service should be able to take raw data, process to specified format, do some NLP computing on the data using trained databases and return the result to the user. When raw data is larger that around 200kb, the service does not have the time to finish before getting a timeout, and I have no ide why it cannot be extended more than 90s. It could be solved using batch request, but…11 votes
The Feature Hashing module would be improvedif it had a 2nd output port that output the data set of the hash mapping (ie the hash value and original string pairs). This would aide in debugging, troubleshooting, and tuning since the mappings and collisions could be visualized and analyzed.11 votes
Here is a common use case:
trainIndex <- createDataPartition(df$serviceName, p = .8, list = F, times = 2)
df.train <- df[trainIndex,] # I need to export this, the training data
df.test <- df[-trainIndex,] # and, I need to export this, the testing data
The createDataPartition is useful becuase it ensures both training and testing data have the same factors.11 votesunder review · Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure) responded
Thank You for feedback! We’re reviewing this request.
Would like support for WinBUGS or OpenBUGS
(Bayesian inference using Gibbs Sampling) program in AzureML.10 votes
Need Advanced Time Series Models in AZURE ML like ARIMA, ARIMAZ, SARIMAX etc. for various industrial applications
Time series models have numerous industrial applications and most widely used models in R & Python are ARIMA, ARIMAX, SARIMAX etc.
Request to add all advanced time series models in Azure ML.9 votes
Visualizations need to be included somewhere that seamlessly works with Azure ML, and preferable also integrated with Data Factory. This way you will have a true end to end data solution.
Being able to create dashboards like the new Azure Portal, with many different types of visualizations would amazing. Have not looked into Power BI close enough to know whether this will provide the type of visualizations that predictive models require. Is Microsoft working on an Azure Visualisations?9 votesunder review · Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure) responded
Thank you; the team will review as part of our planning process.
Currently, there is an option to enable logging which can be turned on in the web service configuration page. Unfortunately, those logs are kind of useless to me.
What I would like to get is all the logs from Execute R Script modules available in Azure Storage after each run with logging set to on. Exactly the same ones I can access after running an experiment, containing also text from the console.
Without proper logs I can't easily debug the script. You mentioned over a year ago that you were going to include debugging which would also be very helpful.9 votes
Similar to R, Azure should create a module of partial dependence plots (PDP) for its native machine learning modules.
PDP, wherein, the predictor variable of interest is varied over its range while the remaining predictors are fixed at a joint set of values sampled from the dataset to produce an instance of the response dependence curve. This process is replicated for all learn records, sampling new joint set of fixed values each time, creating a family of partial dependence curves which are then averaged and centered so as to generate the final partial dependence plot (PDP).9 votes
Provide module which reads / imports PMML directly (without external call to R or Python)9 votes
There is an ensemble learner for decision trees but not for logistic regression. Could this be added to ML studio?9 votesplanned · Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure) responded
Adding additional ensemble learners is planned.
Dataset : Json File format required to support.9 votes
1. 'Create R Model' doesn't provide package input option unless it's preinstalled in AzureML. For example, wanted to develop custom recommender system (other than matchbox) using 'recommenderlab' package. I am not able to refer as .zip package in 'create R model' for 'recommenderlab' package. We should have an option to refer explicit package reference option in custom 'create R model.
2. Custom R package are to be referred everytime user uses it. This is a bit of overkill. Request your help to keep that package till user exits the session. This will streamline process quite a bit.9 votes
Is there a direct support for Theano within the Studio? If not, is it being considered? I assume that there may be a way around by creating a custom zip file, but the package is too rich and sophisticated for such a round about way...9 votes
Currently, you can use theano as shown here – http://gallery.cortanaintelligence.com/Experiment/Theano-Keras-1
We are looking at supporting arbitrary code execution that will allow many other libraries to be consumed through Azure ML
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