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Forum Posts

aranyics
by New Contributor
  • 494 Views
  • 1 replies
  • 1 kudos

Is it possible to start Databricks AutoML experiment remotely? (Azure Databricks)

Currently I am using Azure Machine Learning Studio for my work, and would like to compare performance of Azure and Databricks automl algorithms. Is it possible to write a notebook in Azure to start the automl algorithm in Databricks? My data is found...

  • 494 Views
  • 1 replies
  • 1 kudos
Latest Reply
Anonymous
Not applicable
  • 1 kudos

Hi @Csaba Aranyi​ Great to meet you, and thanks for your question! Let's see if your peers in the community have an answer to your question. Thanks.

  • 1 kudos
Vaadee
by New Contributor
  • 696 Views
  • 1 replies
  • 0 kudos

How to include additional feature columns in Databricks AutoML Forecast?

I'm using Databricks AutoML for time series forecasting, and I would like to include additional feature columns in my model to improve its performance. The available parameters in the databricks.automl.forecast() function primarily focus on the targ...

  • 696 Views
  • 1 replies
  • 0 kudos
Latest Reply
shyam_9
Valued Contributor
  • 0 kudos

Hi @Vaadeendra Kumar Burra​, I am checking internally, will update you on this.

  • 0 kudos
ALIDI
by New Contributor II
  • 1118 Views
  • 1 replies
  • 2 kudos

Run with UUID *** is already active when running automl

Hi, I'm tried using databricks autoML API following the documentation and example notebook. The documentation and example are pretty straight forward however I encountered the following error:Exception: Run with UUID 1315376a0cbb4657b5d23fa552efba4b ...

  • 1118 Views
  • 1 replies
  • 2 kudos
Latest Reply
shan_chandra
Esteemed Contributor
  • 2 kudos

@Al IDI​ - could you please let us know the ML runtime version you have ran into this? could you please try setting and see if it works? spark.conf.set("spark.databricks.mlflow.trackHyperopt.enabled", "false")

  • 2 kudos
Rajib_Kumar_De
by New Contributor II
  • 1315 Views
  • 4 replies
  • 3 kudos

Databricks AutoML (Forecasting) Python SDK for Model Serving

I am using Databricks AutoML ( Python SDK) to forecast bed occupancy. (Actually, Databricks used MLflow experiments for AutoML run). After training with different iterations, I registered the best model in the Databricks Model registry. Now I am tryi...

  • 1315 Views
  • 4 replies
  • 3 kudos
Latest Reply
Kaniz
Community Manager
  • 3 kudos

Hi @Rajib Kumar De​(Customer)​ , We haven’t heard from you since the last response from @Debayan Mukherjee​ ​ ​, and I was checking back to see if his suggestions helped you. Or else, If you have any solution, please do share that with the community ...

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User16752245767
by Contributor
  • 391 Views
  • 0 replies
  • 5 kudos

youtu.be

I'm Avi, a Solutions Architect at Databricks working at the intersection of Data Engineering and Machine Learning.Streaming data processing has moved from niche to mainstream, and deploying machine learning models in such data streams opens up a mult...

  • 391 Views
  • 0 replies
  • 5 kudos
Mr__E
by Contributor II
  • 442 Views
  • 0 replies
  • 0 kudos

Custom AutoML evaluation metric for ranking model

I built a model which is used for ranking and I have a notebook that takes that model to generate rankings and then uses a UDF-based metric to evaluate those rankings. Is there any way that I can have this ranking / UDF be used during the AutoML trai...

  • 442 Views
  • 0 replies
  • 0 kudos
Anonymous
by Not applicable
  • 728 Views
  • 1 replies
  • 0 kudos

Resolved! How is Databricks AutoML different than other AutoML products out there?

How does it provide a glass box view?

  • 728 Views
  • 1 replies
  • 0 kudos
Latest Reply
Mooune_DBU
Valued Contributor
  • 0 kudos

Depending on which solution you use, GlassBox means that any interactive work you do via point & click, we automatically generate the code behind the scene and generate notebooks used for each experiment that was ran under the hood, in addition for a...

  • 0 kudos
User16752240150
by New Contributor II
  • 572 Views
  • 1 replies
  • 1 kudos

What algorithms does Databricks AutoML use?

AutoML presumably tries a few different algorithms while hyperparameter searching. What model types are considered?

  • 572 Views
  • 1 replies
  • 1 kudos
Latest Reply
sean_owen
Honored Contributor II
  • 1 kudos

At the moment, it's really just xgboost, and sklearn implemenations like random forests, logistic regression, and linear regression as applicable. More possibilities are coming.

  • 1 kudos
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