refactor: make names of wrapper functions more generic#37
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docs: update license to MIT
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Make more generic wrapper function names:
state_fn_from_estimatorstate_fn_from_x_to_y_fn_dfstate_fn_from_x_to_xy_fn_dfThe
experiment_runnerfunctions are at present only designed to work on dataframes which include column names – for numpy array support, we'd need new wrappers which also take into account thevariablesto validate the shape of the arrays returned.Relevant issues:
wrapperfunctions more generic #23Todos:
Doctests:
state_fn_from_estimatorstate_fn_from_x_to_y_fn_dfstate_fn_from_x_to_xy_fn_dfDeleted:
state_fn_from_pipeline(no longer compatible with StandardState, not clear that we need this or how exactly it should look)