Reference other relevant open source projects

[imatiach-msft]

No description provided.

[mhamilton723]

Lets keep the ones we have integrations with

[imatiach-msft]

Kept these (note LightGBM is part of DMTK, and we should keep recommenders since that is where SAR is from):

• LightGBM
• Recommenders
• DMTK: Microsoft Distributed Machine Learning Toolkit

[mmlspark-bot]

Pass! — The build has succeeded. (34b101ad)

MMLSpark 0.16.dev4+2.g34b101a

This is a build for Github PR #517, changes:

• [34b101a] Ilya Matiach Update README.md
• [319f01d] Ilya Matiach Reference other relevant open source projects

---

• Source: Azure/mmlspark,
  imatiach-msft-patch-1 at revision 34b101a
  (by Ilya Matiach ilmat@microsoft.com).

• Build: MMLSpark, 21158277
  (built by elivm on elbarzil-vm, 2019-04-01 03:44)

• Info:
  0.16.dev4+2.g34b101a: Azure/mmlspark/imatiach-msft-patch-1@34b101ad; MMLSpark#21158277

• Queued by:
  Ilya Matiach for Ilya Matiach

• Maven package uploaded, use --packages com.microsoft.ml.spark:mmlspark_2.11:0.16.dev4+2.g34b101a and --repositories https://mmlspark.azureedge.net/maven.

• PIP package uploaded.

• R package uploaded.

• HDInsight: Copy the link to this Script Action to setup this build on a cluster.

• ARM Template: Use this ARM Template to setup a cluster with a gpu (in the portal).

  • HDI Sub-Template: Use the HDI sub-template for just the hdi deployment (in the portal).

  • GPU VM Sub-Template: Use the GPU sub-template for just the gpu vm deployment (in the portal).

  • Convenient Deployment Script: Download this bash script or this powershell script, create a paramers file based on this template, and run as

    ./deploy-arm.sh ... -p <your-parameters>
    

• Documentation uploaded.