ShiftedBetaGeoModel.expected_probability_alive#

ShiftedBetaGeoModel.expected_probability_alive(data=None, *, future_t=None)[fuente]#

Compute expected probability of contract renewal for each customer.

El parámetro data solo es necesario para clientes fuera de muestra.

Adaptado de la ecuación (6) en [1].

Parameters:
future_tint, array_like

Número de períodos de tiempo en el futuro para predecir la probabilidad de estar activo.

dataDataFrame

Optional dataframe containing the following columns: * customer_id: Unique customer identifier * T: Number of time periods customer has been active * cohort: Customer cohort label * Covariate columns specified in dropout_covariate_cols (if using covariates)

References

[1]

Fader, P. S., & Hardie, B. G. (2007). «How to project customer retention.» Journal of Interactive Marketing, 21(1), 76-90. https://faculty.wharton.upenn.edu/wp-content/uploads/2012/04/Fader_hardie_jim_07.pdf