front-end

read column names from input data and prompt user to select ts id columns and date-stamp column.

display pandas df.info() as text (double checking input data, as read function) # done but needs line break

add functionality to set model parameters or accept default parameters or tune parameters



back-end

calculate out of sample mse and incorporate it in model comparison.

add more models

return input data and train/test/forecast split flag in result table

prophet frequency set real number to string
 
pre-processing!!!

