models

class AveragingVectorRegressionModel(models: Sequence[sensai.vector_model.VectorRegressionModel], weights: Optional[Sequence[float]] = None, num_processes=1)[source]

Bases: sensai.ensemble.ensemble_base.EnsembleRegressionVectorModel

__init__(models: Sequence[sensai.vector_model.VectorRegressionModel], weights: Optional[Sequence[float]] = None, num_processes=1)

Parameters

models –
num_processes –

aggregate_predictions(predictions_data_frames: List[pandas.core.frame.DataFrame]) → pandas.core.frame.DataFrame