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DataFrame, TargetColumnName -> Tuple<FeatureMatrix, TargetVector>
Extract a designated target column from a tabular dataset to return separated feature matrices and target arrays compatible with common ML estimators.
Problem it solves
Tabular data is typically stored unified, while machine learning model APIs require features and targets to be pre-split into separate arrays.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.