tigercontrol.models.boosting.SimpleBoost

class tigercontrol.models.boosting.SimpleBoost

Description: Implements the equivalent of an AR(p) model - predicts a linear combination of the previous p observed values in a time-series

__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__()	Initialize self.
help()	Description: Prints information about this class and its methods.
initialize(model_id, model_params[, N, …])	Description: Initializes autoregressive model parameters :param model_id: id of weak learner model :type model_id: string :param model_params: dict of params to pass model :type model_params: dict :param N: default 3.
predict(x)
to_ndarray(x)	Description: If x is a scalar, transform it to a (1, 1) numpy.ndarray; otherwise, leave it unchanged.
update(y)

Attributes

compatibles