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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.


  1. Time series ARIMA in Designer

    Looking for component for time series forecasting like ARIMA in Designer

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  2. Random seed for AutoML

    Hi, can you please include an argument in AutoMLConfig() to set the random seed for re-producibility? I was working on a classification task and ran AutoML using SDK 5 times and got 5 different ensemble model pipelines each time. It's very hard to reproduce the results. Can you please include a arandom_state argemnt like scikit-learn. Thanks.

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  3. 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.

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  4. Problem with dependency resolution of Azure ML SDK

    Open-Source AzureML-SDK (already posted somewhere else) and deliver the requirements. pip install azureml-sdk takes an eternity now. Maybe also build a conda installation version, as the new backtracking algorithm really slows down installing that package.

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  5. Need to be able to delete unfinished runs in an experiment

    I need to terminate still-running runs.
    when I view details of a run, I see that there is is a button named
    "Mark as cancelled "
    But ... When I select that, it comes to with the warning;- " Cancel run You have requested to cancel run: 8 Note that this operation will only mark the run as canceled in the UI since it is executed on local compute. This will not terminate the run on the compute if it is still running. Ensure that you terminate the run and shut down any compute to avoid any unexpected billing charges.…

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  6. get azure-mlflow to work

    What is the source of this error:

    PS C:\WINDOWS\system32> pip install azure-mlflow
    ERROR: Could not find a version that satisfies the requirement azure-mlflow
    ERROR: No matching distribution found for azure-mlflow

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  7. Creating dataset from COCO file

    I got COCO file from someone. It points to an open public data (URLs work) but how can I create dataset from this COCO file to be used in AutoML?

    The best would be to share the ml Dataset between workspaces and not the COCO files but even importing COCO would be ok

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  8. Fix extraneous characters at the end of the RunURL

    Using:

    ==============================================================================
    Task : Invoke ML Pipeline
    Description : Invoke Azure Machine Learning published pipelines.
    Version : 0.1.20
    Author : ms-air-aiagility

    Help URL : https://marketplace.visualstudio.com/items?itemName=ms-air-aiagility.vss-services-azureml&ssr=false#overview

    The RunUrl contains the trailing 2 characters: (", ) in the href.

    "RunUrl": "https://ml.azure.com/experiments/.............",

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  9. Add unregister dataset to python sdk

    Currently it seems only possible to unregister a dataset throught the portal UI or through the CLI with az ml dataset unregister. It doesn't currently look like there is an equivelent in the Python SDK.

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  10. create a decent package manager in Azure ML Studio

    Create a decent package manager in Azure ML Studio.
    The grossly out of date packages are embarrasing if you are writing custom python and need to waste time setting up a bespoke virtual environment definition.

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  11. Azure Labeling - Provide access to label properties data

    The data label review interface has a tab that shows statistics for each labelled datapoint e.g. image size, label time etc. Knowing how much time was spent on creating a label can be useful for QA on labels.

    How can users download this data? The exported label file only has data on the annotations themselves.

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  12. Add sklearn Pipeline for feature engineering chaining

    When doing repeated cross validation like k-fold, some feature transformer like normaliser/maxminscaler/feature_selector, etc should be fitted only on the training data (and then tranform the training and validation set). Otherwise some data leakage occurs.

    Therefore, would it be possible to add the sklearn pipeline object as an argument ?
    After splitting the dataset into training and validation set, automl would fit on the training set and apply the pipeline on the validation set, whatever the cv strategy

    One could then add the whole dataset and use the available cross validations strategies without

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  13. More text processing options

    Provide more string processing options in ML Studio & Visual Interface for ML Service. I use python pandas df[col].str.functions like lower, upper, strip, etc. regularly. Also would be good to have extract and match. Doc is here https://pandas.pydata.org/pandas-docs/stable/user_guide/text.html

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  14. Please add API that can show that upper /lower Part separatley that "RunDetails().show()" draw.

    About using Auto ML with "RunDetails().show()" of "Azure Machine Learning Service Python SDK" ,
    Please add API that can show only that upper Table Part that "RunDetails().show()" draw.
    Also, Please add API that can show only that lower Chart part that "RunDetails().show()" draw.

    *please check attachment that show the upper table part and lower chart part.

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  15. Is it possible to change the web service URI from ".../score" to a custom name?

    I'm trying to replace an existing web service in Microsoft Dynamics that was using a model from Azure Machine Learning Studio. It has a hardcoded endpoint suffix like "/predict". For the Azure ML Service I'm building to replace it, there seems to be a hardcoded suffix called "/score" instead in the web service URI.

    Can I customize this? I'd like to replace "/score" with "/predict" etc so that I can swap out the new model.

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  16. AML pipeline with ADF step

    Is there a plan to support ADF as an AML pipeline steps ?
    The use case would be to leverage the extended ADF pipeline capabilities to prepare Data before it is used for training.
    Also, Data Engineer and Data Scientist would benefit from Data Lineage understanding through feature like Data Flow.
    I appreciate your feedbacks.

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  17. Enable downloading engineered feature tables

    Model interpretability posts as an important part in ML adoption. If we can download the engineered feature tables (like what H2O.AI) offers, that will speed up our customer adoption.

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  18. Need reason code for model interpretability

    Can we have reason code (like the ones in DataRobot) to enable model interpretability?

    Also feature importance ranking graph?

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  19. Option to Deploy web service as HTTP instead of default HTTPS

    I need the ability to deploy my predictive model as a HTTP end point instead of the default HTTPS. There are lot of restrictions in the ERP test environment where I am building the client application that consumes the web service. An easy way to turn on/off from HTTPS to HTTP would be very useful as I migrate from Test to Prod.

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  20. Easier authentication into Azure ML ACR with Azure CLI

    Currently authentication requires several steps:

    amlacrid=$(
    az ml workspace show -g $rg -w $ws \
    --query containerRegistry -o tsv
    )

    amlacr=$(
    az resource show --id "$aml
    acr_id" \
    --query name -o tsv
    )

    az acr login -n "$aml_acr”

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