ros_dt_feature2 fastai

dt_feature2.py

# Step 6
# The following extracts particular date fields from a complete datetime for the purpose of constructing categoricals.
# You should *always* consider this feature extraction step when working with date-time. 
# Without expanding your date-time into these additional fields, you can't capture any trend/cyclical behavior as a function of 
# time at any of these granularities.
# We'll add to every table with a date field.

add_datepart(weather, "Date", drop=False)
add_datepart(googletrend, "Date", drop=False)
add_datepart(train, "Date", drop=False)
add_datepart(test, "Date", drop=False)

# Note - drop: If true then the original date column will be removed. If false it will not be dropped.