models

Source code: sensai/ensemble/models.py

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class AveragingVectorRegressionModel(models: Sequence[VectorRegressionModel], weights: Optional[Sequence[float]] = None, num_processes=1)

Bases: EnsembleRegressionVectorModel

Parameters:

• models –

• num_processes –

aggregate_predictions(predictions_data_frames: List[DataFrame]) → DataFrame