deep_feature_synthesis.py

import featuretools as ft

# Primitives for deep feature synthesis
trans_primitives = ['weekend', 'cum_sum', 'day', 'month', 'diff', 'time_since_previous']
agg_primitives = ['sum', 'time_since_last', 'avg_time_between', 'all', 'mode', 
                  'num_unique', 'min', 'last', 'mean', 'percent_true', 
                  'max', 'std', 'count']

# Perform deep feature synthesis 
feature_matrix, feature_names = ft.dfs(entityset=es, 
                                       trans_primitives = trans_primitives,
                                       agg_primitives = agg_primitives,
                                       target_entity='customers',
                                       cutoff_times=cutoff_times)