I want to implement HTM algorithm to impute missing data in a data set. I have read the “NuPIC 1.0.5 API Documentation” of HTM algorithm, as it is stated in the document there are two types of classification to predict data categories, but I need to predict actual values of missing data in the desired data set.
Is it possible to implement HTM algorithm to do so?
Would you please introduce a resource to me to know how to do that?
Does the data set need to include “timestamp” the same as “gymdata.csv”?