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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
  • 639 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...

  • 639 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
  • 607 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 ?

  • 607 Views
  • 1 replies
  • 2 kudos
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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
Priyag1
by Honored Contributor II
  • 665 Views
  • 1 replies
  • 9 kudos

***Understanding Databricks Machine Learning Workspace - 1***Databricks Machine Learning helps you simplify and standardize your ML development proce...

***Understanding Databricks Machine Learning Workspace - 1***Databricks Machine Learning helps you simplify and standardize your ML development processes. It is helpful to :Train models either manually or with AutoML.Track training parameters and mo...

  • 665 Views
  • 1 replies
  • 9 kudos
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samhita
New Contributor III
  • 9 kudos

good initiative

  • 9 kudos
boyelana
by Contributor III
  • 2021 Views
  • 7 replies
  • 13 kudos

Resolved! Getting started with Databricks Machine Learning

hello all,I am fairly new to Databricks technologies and I have taken the Lakehouse Fundamentals course but I am interested in Machine Learning technologies. I will appreciate any help with materials and curated free study paths and packs that can he...

  • 2021 Views
  • 7 replies
  • 13 kudos
Latest Reply
Anonymous
Not applicable
  • 13 kudos

https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf is a free book and has some machine learning examples. The way I learned was mostly from the docs, which are good and have good coding examples.

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GGG_P
by New Contributor III
  • 1680 Views
  • 1 replies
  • 2 kudos

How to proper use Databricks MLFlow Managed tracker/register with Databricks Workflow

Hey.I'm building a DevOps/MLOps pipeline to train/register simple scikit learn model.I created a simple Databricks Workflow to execute training and register task on specific .git branch. (Workflow is setup with Databricks Repo on specifc branch, with...

  • 1680 Views
  • 1 replies
  • 2 kudos
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GGG_P
New Contributor III
  • 2 kudos

It's working just by setting experiment on specific path mlflow.set_experiment(f"/Users/${username}/my_exp")

  • 2 kudos
Edmondo
by New Contributor III
  • 1203 Views
  • 3 replies
  • 0 kudos

Resolved! MlFlow and Feature Store: mlflow.spark.autolog, using feature store on Databricks, FeatureStoreClient.log_model()?

As I am moving my first steps within the Databricks Machine Learning Workspace, I am getting confused by some features that by "documentation" seem to overlap. Does autolog for spark on mlflow provide different tracking than using a training set crea...

  • 1203 Views
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Latest Reply
Kaniz
Community Manager
  • 0 kudos

Hi @Edmondo Porcu​ , FeatureStoreClient.log_model() logs an MLflow model packaged with feature lookup information.Sourcemlflow.spark.autolog(disable=False, silent=False) enables (or disables) and configures logging of Spark data source paths, versio...

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