Machine Learning

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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.

How can we improve Microsoft Azure Machine Learning?

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  1. Support for MYSQL database as input source

    It would be great if Azure ML can read from Mysql database and not just Azure.

    Also can we make data upload to Azure database (SQL) faster through R. I currently use RSQLServer library and its painfully slow.

    Thanks!

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  2. 1 vote
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  3. More functions used - More zip in input

    In order for a flow to be visually well-represented I think it could be useful let more zip files as input of an R script. In this way one could separate the functions used in different zips. So, if a module uses functions of different types, it could import 2 or more zips containing all the function requested.

    This would make the flow clearer and the zips really re-usable in different experiments.

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  4. Fix the synch between datasets in ML Studio and storage

    This seems like it must be a bug. When I delete a dataset in ML Studio it remains in my Portal Uploaded Resources container. I see the same thing with experiments I deleted. I think it is sort of lame to make me delete in 2 places or pay for storage costs on something I thought I eliminated.

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  5. 1 vote
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  6. Monitor hyperparameter tuning progress, abort and provide best values found so far

    I used "Tuned Model Hyperparameters" and it's taking longer than I expected (hours), with no indication of remaining progress. I hesitate to stop it because I would like to have information about the best solution found so far. The log only shows when each training started and stopped, but doesn't show the parameters tested at each attempt and the results.

    It would also be useful to have a graphical view of the progress: Plot with X = iteration, Y = Each of the possible metrics (AUC, F-Score,...). This graphical view should be available as parameter tuning progresses, to help decide…

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  7. Support for tensorflow, Openkeras for deep learning to built deep networks

    What are options if on wants to build their own networks on the lines of Resnet and Inception. Does it need to be done entirely in python?
    Are tensorflow and openkeras frameworks supported?
    i am trying to build a custom face recognition and object recognition service

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  8. Can I perform similar experiment without using Microsoft Azure Machine Studio. I have a similar data set from this URL http://bit.ly/2og1o3

    Can I perform similar experiment without using Microsoft Azure Machine Studio.
    I have a similar data set from this URL http://bit.ly/2og1o31 and I wish to perform online fraud detection on the data set on R 3.2.5,
    here are the set of codes written for the preliminary:

    #############################################################
    #Read untagged transaction
    #############################################################
    data=read.csv(file.choose(),header=TRUE)
    attach(data)
    str(data)
    head(data)
    ############################################################
    #Make Account ID as string
    accountID=as.character(accountID)
    transactionID= as.character(transactionID)
    #######################################################
    ##### Format Time to 6digits #########################
    ##### Time Formatting ###############################
    require(lubridate)
    transactionDate= as.character(transactionDate)
    transactionTime= as.character(transactionTime)
    transactionTime=sprintf("%06d", data$transactionTime)
    #### data <- read.table(file = "file.csv", header = FALSE, sep = ";")#####
    date_time <- paste(transactionDate, transactionTime)
    date_time <-…

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  9. 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 template

    is any of this possible right now? will it ever be?

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  10. Please upgrade the version of R to R 3.5.2 used in azure

    I run R codes in azure and according to my understanding it does not support the functions used in R 3.5.2 since azure uses an older version of R. Would be greatly helpful if you can upgrade the version to R 3.5.2

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  11. Script parameters in Azure ML portal

    The RunDetails widget displays the script parameters of the Estimator that were used for that Run. It would be great if they were also displayed on the Azure portal. Furthermore, i would like to be able to search and filter Runs based on the script parameters used.

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  12. Increase LUIS Utterance character limit

    Increase the current character limit of a LUIS Utterance from 500 to 1000

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  13. 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…

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  14. Automatically render markdown files

    Currently only the Readme.md is automatically rendered and displayed when a project is opened. When selecting another markdown file e.g. in a docs folder (of a TDSP structure), the 'raw' text is displayed.
    Since the root readme file is displayed correctly, the render function is already there. The file should switch over to the text editor only when a user selects the 'Edit as text in Workbench' function.

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  15. 1 vote
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  16. Azure File storage support

    I'm using Keras which has flow_from_directory to handle large sets of image files. I can upload these into azure file storage, however there is no way to "mount" that shared storage from within a python script which would be super handy. Any workarounds?

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  17. Allow read from .avro format in blob

    My team has been using .avro format in blob as part of our data pipeline. We would like to be able to read these files into Azure Machine Learning so that we can build models off of them.

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  18. azure machine learning input module integration with on premise Hadoop cluster

    Provide provision to access the on premise hadoop Cluster from Azure machine learning.

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