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Scikit-learn provides FunctionTransformer to allow users to quickly write transformers without subclassing components and such.
I believe this would be a great addition to the Snowflake ML library to have the same option to allow composing custom pre-processing transforms in the Snowflake ML Pipeline in a consistent fashion instead of having to do some pre-processing against the dataframe pre-pipeline and more in the pipeline.
The text was updated successfully, but these errors were encountered:
Scikit-learn provides
FunctionTransformer
to allow users to quickly write transformers without subclassing components and such.I believe this would be a great addition to the Snowflake ML library to have the same option to allow composing custom pre-processing transforms in the Snowflake ML Pipeline in a consistent fashion instead of having to do some pre-processing against the dataframe pre-pipeline and more in the pipeline.
The text was updated successfully, but these errors were encountered: