EnergyRegressor

class ctapipe.reco.EnergyRegressor(**kwargs: Any)

Bases: ctapipe.reco.sklearn.SKLearnRegressionReconstructor

Use a scikit-learn regression model per telescope type to predict primary energy

Attributes Summary

property	property predicted, overridden in baseclass
target	Name of the target table column for training

Methods Summary

__call__(event)	Apply model for a single event and fill result into the event container
predict_table(key, table)	Predict on a table of events

Attributes Documentation

property = 'energy'

property predicted, overridden in baseclass

target: str = 'true_energy'

Name of the target table column for training

Methods Documentation

__call__(event: ctapipe.containers.ArrayEventContainer) → None

Apply model for a single event and fill result into the event container

predict_table(key, table: astropy.table.table.Table) → Dict[ctapipe.reco.reconstructor.ReconstructionProperty, astropy.table.table.Table]

Predict on a table of events