front-end

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

create radio list for result type and get user input
    if result type is best model, prompt user to set holdout length for out of sample testing

get user input for time series frequency, forecast horizon, etc...

display result as dash dataTable

display pandas df.info() as text (double checking input data, as read function)



back-end

if best model output type is desired, create training-holdout set and wfa and mse calculations.
more models
 

