dmarx / dmarx/make_for_datascience
add data profiling to features and raw data
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Description
This is part of the "common" pipeline which is more bespoke than the main pipeline. The question is: should this be treated as an automated feature, or a custom add on?
New idea for turning features like this on or off: collect these rules into a separate footer which is conditionally included based on the value of a variable in the task-specific makefile. So here, we could have something like:
PROFILE_RAW_DATA := FALSE
PROFILE_FEAUTRES := TRUE
Downstream, we could have stuff like:
REGRESSION_TASK := FALSE
CLASSIFICATION_TASK := TRUE
PERMUTATION_OK := TRUE
to switch groups of evaluation metrics on or off. This is a whole other thing, need to create a new issue.
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