NNLSEnsemble#

class NNLSEnsemble(n_estimators=10, loss_func=None)[source]#

Ensemble forecasts with Non-negative least squares based weighting.

Ensemble class that performs a non-negative least squares to fit to the estimators. Keeps track of all observations seen so far and fits to it.

Parameters
n_estimators: int

number of estimators

loss_funcfunction

loss function which follows sklearn.metrics API, for updating weights

Methods

update(y_pred, y_true)

Update the online ensemble with new data.

update(y_pred, y_true)[source]#

Update the online ensemble with new data.

Parameters
y_prednp.array(), shape=(time_axis,estimator_axis)

array with predictions from the estimators

y_truenp.array(), shape=(time_axis)

array with actual values for predicted quantity