We all know that pre-processing data is often a crucial step to having models perform well. Flow-Forecast therefore has built in capabilities to:
Scale the data
Create new features from existing columns.
Make features from the specific date-time stamp.
Impute missing values and check for improperly entered values.
Augment the data (TS-AUG transformations)
The preprocessed data is now saved automatically in a
temp_df.csv file so you can view it and make sure it is correct.
Preliminary Data Visualizations