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...
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...
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 ...
Do anyone have sample architectures for Mlops using Databricks and other possible variations of architecture ?
@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...
***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...
good initiative
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...
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.
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...
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...
