cancel
Showing results for 
Search instead for 
Did you mean: 
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.
cancel
Showing results for 
Search instead for 
Did you mean: 

Forum Posts

Saurabh707344
by New Contributor III
  • 720 Views
  • 1 replies
  • 1 kudos

Resolved! Comparative study of Azure Databricks MLOps capabilities in conjuction with Azuredevops, GIT, Jenkins

Looking for Comparative study of capabilities of below tools combination. In what situation I should use which of the below combination for MLOps project?a) Azure Databricks MLb) Azure Databricks ML + Azure Devops + GITc) Azure Databricks ML + Jenkin...

  • 720 Views
  • 1 replies
  • 1 kudos
Latest Reply
shyam_9
Valued Contributor
  • 1 kudos

Hi @saurabh707344, you can use Azure Databricks ML when you're in the initial stages and developing some POCs. The other tools you mentioned were used based on your usecase when you moved some of the models to production and actively developing and ...

  • 1 kudos
Saeid_H
by Contributor
  • 4320 Views
  • 7 replies
  • 8 kudos

What are the practical advantage of Feature Store compared to Delta Lake?

Could someone explain the practical advantages of using a feature store vs. Delta Lake. apparently they both work in the same manner and the feature store does not provide additional value. However, based on the documentation on the databricks page, ...

  • 4320 Views
  • 7 replies
  • 8 kudos
Latest Reply
Anonymous
Not applicable
  • 8 kudos

Hi @Saeid Hedayati​ 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 answer...

  • 8 kudos
6 More Replies
DebK
by New Contributor III
  • 3106 Views
  • 6 replies
  • 6 kudos

Resolved! MLFlow is throwing error for the shape of input

I am running the code for prediction which will take the model from mlflow deployment. Code I have copied from the example given by mlflow experiment tab.import mlflow logged_model = 'runs:/id/model'   # Load model as a PyFuncModel. loaded_model = ml...

  • 3106 Views
  • 6 replies
  • 6 kudos
Latest Reply
Anonymous
Not applicable
  • 6 kudos

Hi @Koushik Deb​ 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...

  • 6 kudos
5 More Replies
Hubert-Dudek
by Esteemed Contributor III
  • 868 Views
  • 1 replies
  • 5 kudos

Databricks has introduced new functionality for serving machine learning models through a serverless REST API, enabling the consumption of models outs...

Databricks has introduced new functionality for serving machine learning models through a serverless REST API, enabling the consumption of models outside of Databricks. While serving the model via REST API is ideal for external use cases, it is recom...

1677238735536
  • 868 Views
  • 1 replies
  • 5 kudos
Latest Reply
jose_gonzalez
Moderator
  • 5 kudos

Thank you for sharing this!!!

  • 5 kudos
isaac_gritz
by Valued Contributor II
  • 1096 Views
  • 1 replies
  • 4 kudos

Databricks MLOps Best Practices

Where to find the best practices on MLOps on DatabricksWe recommend checking out the Big Book of MLOps for detailed guidance on MLOps best practices on Databricks including reference architectures.For a deep dive on the Databricks Feature store, we r...

  • 1096 Views
  • 1 replies
  • 4 kudos
Latest Reply
sher
Valued Contributor II
  • 4 kudos

you can check here https://docs.databricks.com/machine-learning/mlops/mlops-workflow.html

  • 4 kudos
Joseph_B
by New Contributor III
  • 605 Views
  • 0 replies
  • 1 kudos

docs.databricks.com

2021-09 webinar: Automating the ML Lifecycle With Databricks Machine Learning (post 1 of 2)Thank you to everyone who joined the Automating the ML Lifecycle With Databricks Machine Learning webinar! You can access the on-demand recording here and the ...

  • 605 Views
  • 0 replies
  • 1 kudos
Labels