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.
Augment the data (TSAUG 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
Simple plots
Lag plots
Seasonal plots
Statistical Tests
Granger Causality
Stationarity tests