modelling

cltv.py

# Models
bgf = BetaGeoFitter(penalizer_coef=0.001)
bgf.fit(cltv_df['frequency'],
        cltv_df['recency'],
        cltv_df['T'])

ggf = GammaGammaFitter(penalizer_coef=0.01)
ggf.fit(cltv_df['frequency'], cltv_df['monetary'])

cltv = ggf.customer_lifetime_value(bgf,
                                   cltv_df['frequency'],
                                   cltv_df['recency'],
                                   cltv_df['T'],
                                   cltv_df['monetary'],
                                   time=6,
                                   freq="W",
                                   discount_rate=0.01)

cltv = cltv.reset_index()
cltv_final = cltv_df.merge(cltv, on="Customer ID", how="left")

scaler = MinMaxScaler(feature_range=(0, 1))
scaler.fit(cltv_final[["clv"]])
cltv_final["scaled_clv"] = scaler.transform(cltv_final[["clv"]])