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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

Sri2025
by New Contributor
  • 53 Views
  • 1 replies
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Not able to run end to end ML project on Databricks Trial

I started using Databricks trial version from today. I want to explore full end to end ML lifecycle on the databricks. I observed for the compute only 'serverless' option is available. I was trying to execute the notebook posted on https://docs.datab...

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Latest Reply
BigRoux
Databricks Employee
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I can take up to 15 minutes for the serving endpoint to be created. Once you initiate the "create endpoint" chunk of code go and grab a cup of coffee and wait 15 minutes.  Then, before you use it verify it is running (bottom left menu "Serving") by g...

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cmd0160
by New Contributor
  • 606 Views
  • 1 replies
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Interactive EDA task in a Job Workflow

I am trying to configure an interactive EDA task as part of a job workflow. I'd like to be able to trigger a workflow, perform some basic analysis then proceed to a subsequent task. I haven't had any success freezing execution. Also, the job workflow...

  • 606 Views
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Alberto_Umana
Databricks Employee
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Hello @cmd0160, Freezing job execution to perform interactive tasks directly within a job workflow is not natively supported in Databricks. The job workflow UI and the notebook UI serve different purposes, and the interactive capabilities you find in...

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ncparab13
by New Contributor II
  • 806 Views
  • 2 replies
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deploy, train and monitor AI/ML model in databricks in automated way.

Hi Team, I have my databricks environment where I want to deploy, train and monitor ML model in automated way(github action). How I can do that?

  • 806 Views
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ashraf1395
Honored Contributor
  • 1 kudos

Hi there @ncparab13,- https://docs.databricks.com/aws/en/dev-tools/bundles/mlops-stacks ,- https://docs.databricks.com/aws/en/machine-learning/mlops/ci-cd-for-ml , - https://docs.databricks.com/aws/en/repos/ci-cd-techniques-with-reposHere are some li...

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dkxxx-rc
by Contributor
  • 606 Views
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AutoML master notebook failing

I have recently been able to run AutoML successfully on a certain dataset.  But it has just failed on a second dataset of similar construction, before being able to produce any machine learning training runs or output.  The Experiments page says```Mo...

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SreeRam
by New Contributor
  • 610 Views
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Patient Risk Score based on health history: Unable to create data folder for artifacts in S3 bucket

Hi All,we're using the below git project to build PoC on the concept of "Patient-Level Risk Scoring Based on Condition History": https://github.com/databricks-industry-solutions/hls-patient-riskI was able to import the solution into Databricks and ru...

  • 610 Views
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MightyMasdo
by New Contributor II
  • 2257 Views
  • 2 replies
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Spark context not implemented Error when using Databricks connect

I am developing an application using databricks connect and when I try to use VectorAssembler I get the Error sc is not none Assertion Error. is there a workaround for this ?

  • 2257 Views
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Łukasz1
New Contributor II
  • 2 kudos

I have exactly the same problem.The error is in the line 84 of the file pyspark/ml/wrapper.py.assert sc is not NoneI create spark session with databricks connect as the following:from databricks.connect import DatabricksSessionspark = DatabricksSessi...

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dkxxx-rc
by Contributor
  • 956 Views
  • 2 replies
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Resolved! Save model from AutoML to MLflow in LightGBM flavor

I want to get the LightGBM built-in variable importance values from a model that was generated by AutoML.  That's not logged in the metrics by default - can I change a setting so that it will be logged?More fundamentally:  what I'd really like is to ...

  • 956 Views
  • 2 replies
  • 1 kudos
Latest Reply
Alberto_Umana
Databricks Employee
  • 1 kudos

Additional Considerations The pyfunc.add_to_model() function you mentioned is used to add the Python Function flavor to the model, which is different from changing the primary flavor of the logged model. That's why changing its parameter didn't solve...

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Akash_Wadhankar
by New Contributor III
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Learn Databricks AI medium article series for fellow learners.

When it comes to machine learning, the platform plays a pivotal role in successful implementation. Databricks offers a best-in-class machine learning platform with cutting-edge features such as MLflow, Model Registry, Feature Store, and MLOps, which ...

Machine Learning
DatabricksML MachineLearning AI FeatureStore DecisionScience
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sjohnston2
by New Contributor II
  • 1402 Views
  • 2 replies
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Resolved! XGBoost Feature Weighting

We are trying to train a predictive ML model using the XGBoost Classifier. Part of the requirements we have gotten from our business team is to implement feature weighting as they have defined certain features mattering more than others. We have 69 f...

  • 1402 Views
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Latest Reply
Walter_C
Databricks Employee
  • 2 kudos

Hello @sjohnston2 here is some information i found internally: Possible Causes Memory Access Issue: The segmentation fault suggests that the program is trying to access memory that it's not allowed to, which could be caused by an internal bug in XGBo...

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miahopman
by New Contributor II
  • 3714 Views
  • 2 replies
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AutoML Runs Failing

After the Data Exploration notebook runs successfully, all AutoML trials fail without providing a source notebook. I have ensured that the training data labels have no null values or any labels with 16 or less occurrences associated with them. I cann...

  • 3714 Views
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Latest Reply
rtreves
Contributor
  • 1 kudos

@AnNg Have there been any updates on this feature?

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sangramraje
by New Contributor
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AutoML "need to sample" not working as expected

tl; dr:When the AutoML run realizes it needs to do sampling because the driver / worker node memory is not enough to load / process the entire dataset, it fails. A sample weight column is NOT provided by me, but I believe somewhere in the process the...

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  • 898 Views
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jkibiki
by New Contributor
  • 570 Views
  • 2 replies
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AutoML forecast only supports integers as predicate target ?

Hi Community,I've playing around with AutoML and started with a simple forecast for Databricks samples.I used a copy of table samples.tpch.orders.To my supprise only integer types were available as Predicat Target. The field I was interested in forec...

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  • 570 Views
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james598henry
New Contributor II
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 @jkibiki wrote:Hi Community,I've playing around with AutoML and started with a simple forecast for Databricks samples.I used a copy of table samples.tpch.orders.To my supprise only integer types were available as Predicat Target. The field I was int...

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sharpbetty
by New Contributor II
  • 849 Views
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Custom AutoML pipeline: Beyond StandardScaler().

The automated notebook pipeline in an AutoML experiment applies StandardScaler to all numerical features in the training dataset as part of the PreProcessor. See below.But I want a more nuanced and varied treatment of my numeric values (e.g. I have l...

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  • 849 Views
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TSchmidt
by New Contributor
  • 796 Views
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large scale yolo inference

I have 50 Million Images sitting on s3 I have a Yolov8 model trained with ultralytics and want to run inference on those images. I suspect I should be running inference using ML flow, but I am confused on how. I don't need to track experiments/traini...

  • 796 Views
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