From d4281967a2ac8566483f3b419da1869397233e24 Mon Sep 17 00:00:00 2001 From: Parashar Shah <17348989+parasharshah@users.noreply.github.com> Date: Thu, 29 Nov 2018 23:18:30 -0800 Subject: [PATCH] added introduction. --- databricks/automl_adb_readme.md | 17 ++++++++++++++--- 1 file changed, 14 insertions(+), 3 deletions(-) diff --git a/databricks/automl_adb_readme.md b/databricks/automl_adb_readme.md index d46c58a1..600a4cc8 100644 --- a/databricks/automl_adb_readme.md +++ b/databricks/automl_adb_readme.md @@ -1,3 +1,14 @@ +**PREVIEW capability** + +Automated ML now supports Azure Databricks as a local compute to perform training (**public preview**). Azure Databricks is a managed Spark offering on Azure and customers already use it for advanced analytics. It provides a collaborative Notebook based environment with CPU or GPU based compute cluster. +- Customers who use Azure Databricks for advanced analytics can now use the same cluster to run automated machine learning experiments. +- You can keep the data within the same cluster. +- You can leverage the local worker nodes with autoscale and auto termination capabilities. +- You can use multiple cores of your Azure Databricks cluster to perform simultenous training. +- You can further tune the model generated by automated machine learning if you chose to. +- Every run (including the best run) is available as a pipeline. +- The model from the pipeline can be registered in Azure ML SDK workspace and then deployed to Azure managed compute (ACI or AKS) using the Azure Machine learning SDK. + **Create Azure Databricks Cluster:** Select New Cluster and fill in following detail: @@ -27,7 +38,7 @@ concurrent runs X 3 X 5 cross validations X 3 = 90 GB It will take few minutes to create the cluster. Please ensure that the cluster state is running before proceeding further. -**Install Azure ML with Automated ML SDK** +**Install Azure ML with Automated ML SDK on your Azure Databricks cluster** - Select Import library @@ -41,10 +52,10 @@ It will take few minutes to create the cluster. Please ensure that the cluster s - Select the check box _Attach_ next to your cluster name -(More details on attach and detach are here - [https://docs.databricks.com/user-guide/libraries.html#attach-a-library-to-a-cluster](https://docs.databricks.com/user-guide/libraries.html#attach-a-library-to-a-cluster) ) +(More details on how to attach and detach libs are here - [https://docs.databricks.com/user-guide/libraries.html#attach-a-library-to-a-cluster](https://docs.databricks.com/user-guide/libraries.html#attach-a-library-to-a-cluster) ) - Ensure that there are no errors until Status changes to _Attached_. It may take a couple of minutes. **Note** - If you have the old build the please deselect it from cluster’s installed libs > move to trash. Install the new build and restart the cluster. And if still there is an issue then detach and reattach your cluster. -**Now you are run the Automated ML sample notebook on your Azure Databricks cluster.** +**Now you can run the Automated ML sample notebook on your Azure Databricks cluster. Please let us know your feedback.**