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.
Hello All,We are trying to deploy some models using Databricks Serving endpoint, But while deploying the artifact created during experiment run the serving endpoint build log says Pip failed due to conflicting dependency.The model is logged in experi...
Note: the following guide is primarily for Python users. For other languages, please view the following links: • Table batch reads and writes • Create a table in SQL • Visualizing data with DBSQLThis step-by-step guide will get your data...
Weekly Release Notes RecapHere’s a quick recap of the latest release notes updates from the past one week.Databricks platform release notesJanuary 13 - 19, 2023Cluster policies now support limiting the max number of clusters per userYou can now use c...
I need to access the json file in the github repo from the databricks notebookI have a repo integrated with Databricks workspace. When I run %sh pwd it returns this path /Workspace/Repos/chris@myemail/Repo/folder/test.json. I'm not able to access the...
Hi everybody,I created a simple bayesian model using the pymc library in Python. I would like to graphically represent my model using the pymc.model_to_graphviz(model=model) method.However, it seems it does not work within a databrcks notebook, even ...
I'm using Azure Data Factory to create pipeline of Databricks notebooks, something like this:[Notebook 1 - data pre-processing ] -> [Notebook 2 - model training ] -> [Notebook 3 - performance evaluation].Can I write some config file, that would allow...
I understand that, in your case, auto-scaling will take too much time.The simplest option is to use a different cluster for another notebook (and be sure that the previous cluster is terminated instantly).Another option is to use REST API 2.0/cluster...
Is it possible to create mlflow model as a docker image with REST api endpoint and use it for inferencing within databricks or hosting the image in azure container instances?
@Vijeth Moudgalya , Hey there, we are definitely interested in making model serving easier and simpler on Databricks. There are some useful product features coming down the line - contact me at bilal dot aslam at databricks dot com if you are intere...
