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aace's Introduction

ACE (Azure AI Customer Engineering) team

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Tech Community ACE Blog

Repositories

The repositories listed here are created and maintained by the ACE team.

Repository Description
MLOPS_VideoAnomalyDetection Video Anomaly Detection with Azure ML
datascience4managers Generalization, Utility, and Experimentation: ML Concepts for Making Better Business Decisions
icse2019 ICSE Tutorial on Scalable Data Science with Python and R
kdd2017r KDD 2017 Tutorial: Using R for Scalable Data Science
[REPO NAME](repo url) Sample description...
[REPO NAME](repo url) Sample description...
[REPO NAME](repo url) Sample description...

End to End Solutions

The repositories listed here are end-to-end solutions created and maintained by the ACE team.

Repository Description
Luna v1 Sell your application through Azure Marketplace SaaS offer using Project Luna
Ditsributed Training of Image Segmentation Distributed training of Image segmentation on Azure Machine Learning
Knowledge Mining getting started Microsoft Azure Knowledge Mining getting started sample

General

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

aace's People

Contributors

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aace's Issues

Main Search Web UI Page doesn't handle pagination properly (creating performance issues)

Scenario:

  • load about 2000 documents into the supporting Storage Account for indexing
  • once indexed, go to the Web UI of the solution
  • EXPECTED:
    page comes up very fast (modern UI experience, 100 ms territory)
    page only displays 10 results as per expected pagination
  • OBSERVED:
    page comes back very slowly (48 seconds observed with my sample data)
    page displays ALL documents (did not account but a LOT of docs) with pagination indicating:
    // Page: 1 [showing documents 1 to 10] (NOTE: only '1' page is available, there should be 200+)
    // Available Results: 2377

The broken pagination makes this application unusable.

Deploy.ps1 script seems to ignore the '-location' argument

2 failing test scenarios:

  • run Deploy.ps1 with '-location westus2' as a parameter, the resources are deployed in 'centralus'
  • modify the Deploy.ps1 script itself to replace the default to "centralus" with '[string]$location = "westus2", then run the script again, the resource group is in westus2, but the resources within are still created in centralus

Upload Files

Files uploaded through "Upload Files" get downloaded instead of previewed when you click on the result; the difference in Blobstore seems that such files get Content_Type = 'application/octet' whereas files uploaded directly to Blobstore or Azure Storage Explorer have Content_Type = 'application/pdf'

Graph results and display

  • It is possible to click keyphrases and add the term to the keyword search. However it is unclear how these added keywords are reflected in the graph.

  • As you see below, the new search term “blockchain + ‘anti-money laundering act’” has relationships to other entities (NOTE: top right says it’s keyphrases, but in fact the term shows the relation to locations(!))

Screenshot 2019-10-25 at 15 46 10

  • But: when I go back to the resultset list, there are 0 results in the resultset – seems the graph does not get recalculated and/or that the '-' throws off Lucene

Screenshot 2019-10-25 at 15 49 02

  • Note also that it is possible that entities are outside the viewable range.

LUNA Deployment Issues

Hi, is there any documentation about the PowerShell Module Requirements?
I try to deploy the latest build (from friday) and running in issues like
"New-AzResourceGroupDeployment : 14:16:46 - Error: Code=InvalidTemplate; Message=Deployment template validation failed: 'Template parameter JToken type is not valid. Expected
'String, Uri'. Actual 'Object'. Please see https://aka.ms/resource-manager-parameter-files for usage details.'."
In C:\MS-Partner\Luna\Resources\Deployment\Deploy.ps1:287 Zeichen:1

or

Create AAD application for webapp authentication.
WARNUNG: Breaking changes in the cmdlet 'Set-AzKeyVaultSecret' :
WARNUNG: - "The output type 'Microsoft.Azure.Commands.KeyVault.Models.PSKeyVaultSecret' is changing"

  • The following properties in the output type are being deprecated :
    'SecretValueText'
    WARNUNG: Note :The change is expected to take effect from the version : '3.0.0'
    WARNUNG: NOTE : Go to https://aka.ms/azps-changewarnings for steps to suppress this breaking change warning, and other information on breaking changes in Azure PowerShell.
    Set-AzKeyVaultSecret : Der Remotename konnte nicht aufgelöst werden: 'lunasample-keyvault.vault.azure.net'
    In C:\MS-Partner\Luna\Resources\Deployment\Deploy.ps1:124 Zeichen:22

What I need to configure the PowerShell session?
Thanks for your support
Michael

Broken link to download deployment zip

I get a 404 when trying to download the zip under this section:
_"Step 1 - Download the required code to you computer
The deployment runs locally in your computer. You have 2 alternative methods to do it:

Download and extract the file deployment package.zip located here"_ (here points to https://github.com/Azure/AIPlatform/tree/master/CognitiveSearch/Deployment)

I guess it should point to:
https://github.com/Azure/AIPlatform/blob/master/end-to-end-solutions/kma/Deployment/KMA.zip

Setting supported account types question

Is it possible to deploy the Luna application to where it allows you to set the Supported Account Types (aka SignInAudience) to Accounts in any organizational directory and personal Microsoft accounts (AzureADandPersonalMicrosoftAccount)?
When testing the application using an MSA account, it complains that the account is not a guest of the tenant.

Entity Recognition

Is it possible to restrict the entities displayed in the facets?
Especially with bi-lingual documents we saw that a lot of garbage entities are recognized. If there was something like a confidence score or a frequency count threshold for each entity it would improve the first impression of the solution.

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