Hi @ostae911 , are you still facing this issue?
It looks like your usage of the timestamp column is correct. It can be used as a primary key on the time series feature table. Is it possible that there are other duplicate columns between the training ...
Hey guys,
@PiotrM AI Gateway does not currently enforce rate limiting on ai_query batch inference workloads, it only provides usage tracking, which is called out in the docs on limitations.
For cost control, you could control permissions on the endp...
If you didn't get this to work with Pandas API on Spark, you might also try importing and instantiating the SentenceTransformer model inside the pandas UDF for proper distributed execution.
Each executor runs code independently, and when Spark execut...
Hi @GiriSreerangam , can you share what you are trying to do with the custom tool?
You might be able to implement with a custom MCP server. Here are some other resources that may help:
https://github.com/JustTryAI/databricks-mcp-serverhttps://github...
Hi @fiverrpromotion,
As you mention, scaling XGBoost and LightGBM for massive datasets has its challenges, especially when trying to preserve critical training capabilities such as early stopping and handling of sparse features / high-cardinality cat...
