hpipy.price_model.RepeatTransactionModel.fit#

RepeatTransactionModel.fit(estimator='base', log_dep=True, **kwargs)[source]#

Fit the repeat transaction model and generate index coefficients.

Parameters:
  • estimator (str, optional) – Estimator type. One of “base”, “robust”, or “weighted”. Defaults to “base”.

  • log_dep (bool, optional) – Log transform the dependent variable. Defaults to True.

  • kwargs (Any)

Returns:

The repeat transaction house price model.

Return type:

Self