INNER CODE UNIT · Python

time_of_death

CamDavidsonPilon/lifetimes · lifetimes/generate_data.py:182

        time_of_death = random.exponential(scale=1.0 / mu)

        # hacky until I can find something better
        times = []
        next_purchase_in = random.exponential(scale=1.0 / l)
        while np.sum(times) + next_purchase_in < min(time_of_death, T[i]):
            times.append(next_purchase_in)
            next_purchase_in = random.exponential(scale=1.0 / l)

        times = np.array(times).cumsum()
        df.iloc[i] = (
            np.unique(np.array(times).astype(int)).shape[0],
            np.max(times if times.shape[0] > 0 else 0),
            T[i],
            l,
            mu,
            time_of_death > T[i],
            i,

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