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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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Anonymous
by Not applicable
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Train machine learning models: How can I take my ML lifecycle from experimentation to production?

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...

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Priyag1
Honored Contributor II
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I got good knowledge by your post . It is very clear . Thank you . Keep sharing like this posts .It will be helpful

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elgeo
by Valued Contributor II
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Resolved! Insert into delta table fails

Hello experts. We are trying to execute an insert command with less columns than the target table:Insert into table_name( col1, col2, col10)Select col1, col2, col10from table_name2However the above fails with:Error in SQL statement: DeltaAnalysisExce...

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UmaMahesh1
Honored Contributor III
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Hi @ELENI GEORGOUSI​ Yes. When you are doing an insert, your provided schema should match with the target schema else it would throw an error.But you can still insert the data using another approach. Create a dataframe with your data having less colu...

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ajeet1080
by New Contributor III
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Resolved! Unable to create feature table using databricks API .FeatureStoreClient()

I am following example steps from databricks documentation https://docs.databricks.com/_static/notebooks/machine-learning/feature-store-taxi-example.htmlI am using Feature Store client v0.3.6 and above.However on trying to create feature table with f...

Screenshot 2022-11-29 at 2.10.43 PM pickup_features dataframe screenshot dropoff_features dataframe screenshot
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ajeet1080
New Contributor III
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After much digging, observed i was using standard runtime. Once i switched to ML runtime of databricks, issue was resolved. To use Feature Store capability, ensure that you select a Databricks Runtime ML version from the Databricks Runtime Version dr...

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Jack_Watson
by Contributor
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Resolved! I am saving a new feature table to the Databricks feature store, and it won't write the data sources of the tables used to create the feature table, because they are Hive tables that point to Azure Data Lake Storage Gen1 Delta tables

My notebook is pulling in Hive tables from DBFS, that point to ADLS Gen1 file locations for their data (Delta tables), creating the feature table as a data frame within the notebook, then calling on the feature store client to save down the feature t...

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Atanu
Esteemed Contributor
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@Jack Watson​  Could you please confirm the write is succeeding ? If yes, as per my understanding This is a warning for some validation that we will be removing shortly. We’ll likely remove the validation which save the data source.Thanks.

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