lifetimes

predict.py

# This function calculates the conditional expected number of transactions in the given time length
n_transactions_pred = bgf.predict(t=26, # we set it to 26 weeks (the length of the observation period)
                                  frequency=sample_customer['frequency_cal'], 
                                  recency=sample_customer['recency_cal'], 
                                  T=sample_customer['T_cal'])

n_transactions_pred # = 0.7647440846242359