ensemble_base#

Source code: sensai/ensemble/ensemble_base.py

class EnsembleVectorModel(models: Sequence[VectorModel], num_processes=1)[source]#

Bases: VectorModel, ABC

Parameters:

  • models –

  • num_processes –

compute_all_predictions(x: DataFrame)[source]#
abstract aggregate_predictions(predictions_data_frames: List[DataFrame]) → DataFrame[source]#
class EnsembleRegressionVectorModel(models: Sequence[VectorModel], num_processes=1)[source]#

Bases: EnsembleVectorModel, ABC

Parameters:

  • models –

  • num_processes –

is_regression_model()[source]#
class EnsembleClassificationVectorModel(models: Sequence[VectorModel], num_processes=1)[source]#

Bases: EnsembleVectorModel, ABC

Parameters:

  • models –

  • num_processes –

is_regression_model()[source]#