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
  • 631 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...

  • 631 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
Saurabh707344
by New Contributor III
  • 1675 Views
  • 4 replies
  • 3 kudos

Azure Databricks Capabilities: My objective is to evaluate Azure Databricks capability and Do I need to use Azure Devops or Jenkins or Databricks suffice the need.

hi,We have Real time streaming usecase where we have to build pipeline using Azure Databricks.My objective is to evaluate Azure Databricks capability and Do I need to use Azure Devops or Jenkins or Databricks suffice the need.Can you please provide c...

  • 1675 Views
  • 4 replies
  • 3 kudos
Latest Reply
StephanieRivera
Valued Contributor II
  • 3 kudos

I found these youtube videos to be beneficial. CI/CD with Azure Dev Ops Terraform Enablement - Part 1 of 2

  • 3 kudos
3 More Replies
Saurabh707344
by New Contributor III
  • 593 Views
  • 1 replies
  • 2 kudos

Sample Archietcture for Databricks MLOps

Do anyone have sample architectures for Mlops using Databricks and other possible variations of architecture ?

  • 593 Views
  • 1 replies
  • 2 kudos
Latest Reply
Annapurna_Hiriy
New Contributor III
  • 2 kudos

@Saurabh Singh​ This is well documented here:https://www.databricks.com/blog/2022/06/22/architecting-mlops-on-the-lakehouse.htmlPlease see: Reference architecture for MLOpsFurther refrences: Refer to The Big Book of MLOps for more discussion of the a...

  • 2 kudos
Vpax
by New Contributor
  • 879 Views
  • 2 replies
  • 0 kudos

Resolved! How does ML Flow work with Databricks monitoring product recently released ?

Does the monitoring tool interact with MLFlow and Feature Store too ?

  • 879 Views
  • 2 replies
  • 0 kudos
Latest Reply
BilalAslamDbrx
Honored Contributor III
  • 0 kudos

@VirooPax Mirji​ what "monitoring tool" are you referring to?

  • 0 kudos
1 More Replies
User15787040559
by New Contributor III
  • 1084 Views
  • 1 replies
  • 0 kudos

Can we retrieve experiment results via MLflow API or is this only possible using UI?

Yes, you can use the API https://www.mlflow.org/docs/latest/python_api/index.html

  • 1084 Views
  • 1 replies
  • 0 kudos
Latest Reply
Mooune_DBU
Valued Contributor
  • 0 kudos

There are many ways you can retrieve experiments results using the mlflow API (see example if you want to retrieve and display for only a specific model (assuming you have the `model_name`:best_models = mlflow.search_runs(filter_string=f'tags.model="...

  • 0 kudos
User16826993440
by New Contributor III
  • 1985 Views
  • 1 replies
  • 1 kudos

What is the best practice for applying MLFlow to clustering algorithms?

What is the best practice for applying MLFlow to clustering algorithms? What are the kinds of metrics customers track?

  • 1985 Views
  • 1 replies
  • 1 kudos
Latest Reply
Joseph_B
New Contributor III
  • 1 kudos

Good question! I'll divide my suggestions into 2 parts:(1) In terms of MLflow Tracking, clustering is pretty similar to other ML workflows, so not much changes.(2) In terms of specific parameters, metrics, etc. to track, clustering is very different...

  • 1 kudos
Labels