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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

Aarsh
by New Contributor II
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Failure in Databricks Serving endpoint <build log says Pip failed due to conflicting dependency.>

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...

  • 846 Views
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  • 1 kudos
notsure
by New Contributor
  • 1731 Views
  • 3 replies
  • 2 kudos

Error with calling a machine learning serving endpoint

Hi!I have registered a spark model and generated a serving endpoint based on that.I am calling the endpoint with the relevant dataframe, somehow I got below errors. Could anyone show me how to tackle it, please? "Exception: Request failed with status...

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  • 2 kudos
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Anonymous
Not applicable
  • 2 kudos

Hi @mavis chen​ Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answers yo...

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shane
by New Contributor II
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Not able to configure cluster settings instance type using mlflow api 2.0 to enable model serving.

I'm able to enable model serving by using the mlflow api 2.0 with the following code...instance = f'https://{workspace}.cloud.databricks.com' headers = {'Authorization': f'Bearer {api_workflow_access_token}'}   # Enable Model Serving import request...

Screen Shot 2023-02-02 at 3.53.16 PM
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Anonymous
Not applicable
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Hi @Shane Piesik​ Thank you for your question! To assist you better, please take a moment to review the answer and let me know if it best fits your needs.Please help us select the best solution by clicking on "Select As Best" if it does.Your feedback...

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Charley
by New Contributor II
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  • 1 replies
  • 1 kudos

error status 400 calling serving model endpoint invocation using personal access token on Azure Databricks

Hi all, I've deployed a model, moved it to production and served it (mlflow), but when testing it in the python notebook I get a 400 error. code/details below:import osimport requestsimport jsonimport pandas as pdimport numpy as np# Create two record...

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  • 1 replies
  • 1 kudos
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nakany
New Contributor II
  • 1 kudos

data_json in the score_model function should be defined as followsds_dict = {"dataframe_split": dataset.to_dict(orient='split')} if isinstance(dataset, pd.DataFrame) else create_tf_serving_json(dataset)

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User16752245767
by Contributor
  • 1050 Views
  • 3 replies
  • 10 kudos

I am Avi, a Solutions Architect at Databricks. We have built an application to demonstrate how AI-capabilities could be easily integrated to deliver n...

I am Avi, a Solutions Architect at Databricks. We have built an application to demonstrate how AI-capabilities could be easily integrated to deliver novel user experiences. The application allows users to submit images and text, and uses these inputs...

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  • 3 replies
  • 10 kudos
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Ajay-Pandey
Esteemed Contributor III
  • 10 kudos

Hi @Avinash Sooriyarachchi​ Thanks for sharing it.

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studentofml
by New Contributor
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  • 1 replies
  • 0 kudos

Is Model Serving REST API available?

This is mentioned in:https://learn.microsoft.com/en-us/azure/databricks/mlflow/create-manage-serverless-model-endpointswith api call example, while in:https://learn.microsoft.com/en-us/answers/questions/892678/how-to-enable-databricks-model-serving-w...

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  • 1 replies
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Kaniz
Community Manager
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Hi @Thou Mather​ , Did you get a chance to go through this doc?

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