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Machine Learning
Dive into the world of machine learning on the Databricks platform. Explore discussions on algorithms, model training, deployment, and more. Connect with ML enthusiasts and experts.
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Forum Posts

Saurabh707344
by New Contributor III
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AWS Databricks - Distributed ML Models in Sagameker and Databricks

While using Databricks on AWS, What will be impact if few ML models are build using Sagemaker pipelines, whereas other models build on databricks ML itself ?Any other impact apart from infra maintainance cost ?Are there any prefered tool that can eas...

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Anonymous
Not applicable
  • 2 kudos

Hi @Saurabh Singh​ 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.

  • 2 kudos
isaac_gritz
by Valued Contributor II
  • 2283 Views
  • 1 replies
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Resolved! Pricing on Databricks

How Pricing Works on DatabricksI highly recommend checking out this blog post on how databricks pricing works from my colleague @MENDELSOHN CHAN​Databricks has a consumption based pricing model, so you pay only for the compute you use.For interactive...

  • 2283 Views
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Meag
New Contributor III
  • 3 kudos

I read the read blog you will share it helps thanks for sharing.

  • 3 kudos
Idan
by New Contributor II
  • 1288 Views
  • 2 replies
  • 1 kudos

Using code_path in mlflow.pyfunc models on Databricks

We are using Databricks over AWS infra, registering models on mlflow. We write our in-project imports as from src.(module location) import (objects).Following examples online, I expected that when I use mlflow.pyfunc.log_model(...code_path=['PROJECT_...

  • 1288 Views
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Anonymous
Not applicable
  • 1 kudos

Hi @Idan Reshef​ Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answers y...

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shane
by New Contributor II
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Not able to configure cluster settings instance type using mlflow api 2.0 to enable model serving.

I'm able to enable model serving by using the mlflow api 2.0 with the following code...instance = f'https://{workspace}.cloud.databricks.com' headers = {'Authorization': f'Bearer {api_workflow_access_token}'}   # Enable Model Serving import request...

Screen Shot 2023-02-02 at 3.53.16 PM
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Anonymous
Not applicable
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Hi @Shane Piesik​ Thank you for your question! To assist you better, please take a moment to review the answer and let me know if it best fits your needs.Please help us select the best solution by clicking on "Select As Best" if it does.Your feedback...

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User16461610613
by New Contributor II
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  • 1 replies
  • 2 kudos

Free Databricks Training on AWS, Azure, or Google Cloud Good news! You can now access free, in-depth Databricks training on AWS, Azure or Google Cloud...

Free Databricks Training on AWS, Azure, or Google CloudGood news! You can now access free, in-depth Databricks training on AWS, Azure or Google Cloud.  Our on-demand training series walks through how to:Streamline data ingest and management to build ...

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jose_gonzalez
Moderator
  • 2 kudos

Thank you for sharing this!!

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Aouatef_Rouahi
by New Contributor III
  • 1674 Views
  • 6 replies
  • 19 kudos

I got a problem with my Databricks account

Hi,I am a student and I just started with Databricks so instead of signing up with a community account which is free, I created an account with a standard subscription plan on DataBricks with an amazon cloud services as a cloud provider.​As I am lear...

  • 1674 Views
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Aouatef_Rouahi
New Contributor III
  • 19 kudos

Hi @Kaniz Fatma​, yes thank you!!

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eyalwir
by New Contributor
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Deep Learning on Spark within AWS EMR

I'd like to use Deep Learning on Spark within AWS EMR.Is there a best practice or 'recommended' DL framework to run on Spark? It looks like Databricks' spark-deep-learning has been replaced by Horovod—should this the first option to consider? If th...

  • 533 Views
  • 0 replies
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