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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 ...
Could someone explain the practical advantages of using a feature store vs. Delta Lake. apparently they both work in the same manner and the feature store does not provide additional value. However, based on the documentation on the databricks page, ...
Hi @Saeid Hedayati 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 answer...
I am running the code for prediction which will take the model from mlflow deployment. Code I have copied from the example given by mlflow experiment tab.import mlflow
logged_model = 'runs:/id/model'
# Load model as a PyFuncModel.
loaded_model = ml...
Hi @Koushik Deb 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 y...
Databricks has introduced new functionality for serving machine learning models through a serverless REST API, enabling the consumption of models outside of Databricks. While serving the model via REST API is ideal for external use cases, it is recom...
Where to find the best practices on MLOps on DatabricksWe recommend checking out the Big Book of MLOps for detailed guidance on MLOps best practices on Databricks including reference architectures.For a deep dive on the Databricks Feature store, we r...
2021-09 webinar: Automating the ML Lifecycle With Databricks Machine Learning (post 1 of 2)Thank you to everyone who joined the Automating the ML Lifecycle With Databricks Machine Learning webinar! You can access the on-demand recording here and the ...
