(1) Does anyone create missing data when constructing models? Examples - searchjng for stronger relationships between data set and first and second derivatives of time series data, compairsons to same day of week last N periods, same holiday last N periods; examining distance to an urban center for geodata
(2) Does anyone use a model that falls back on functions when a match is not 100%? For example, "apple" may mean fruit, music, machines, music companies or machine companies -- instead of a number 0 to 1 of the probable meaning, does anyone use models where the code "performs a test" to better disambiguate?
james_mclellan t1_je5ru4r wrote
Reply to [D] Simple Questions Thread by AutoModerator
Two questions :
(1) Does anyone create missing data when constructing models? Examples - searchjng for stronger relationships between data set and first and second derivatives of time series data, compairsons to same day of week last N periods, same holiday last N periods; examining distance to an urban center for geodata
(2) Does anyone use a model that falls back on functions when a match is not 100%? For example, "apple" may mean fruit, music, machines, music companies or machine companies -- instead of a number 0 to 1 of the probable meaning, does anyone use models where the code "performs a test" to better disambiguate?