ParticleClassifier

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

Bases: ctapipe.reco.sklearn.SKLearnClassificationReconstructor

Predict dl2 particle classification

Attributes Summary

positive_class	Particle id (in simtel system) of the positive class.
property	property predicted, overridden in baseclass
target	Name of the target table column for training

Methods Summary

__call__(event)	Event-wise prediction for the EventSource-Loop.
predict_table(key, table)	Predict on a table of events

Attributes Documentation

positive_class

Particle id (in simtel system) of the positive class. Default is 0 for gammas.

property = 'classification'

property predicted, overridden in baseclass

target: str = 'true_shower_primary_id'

Name of the target table column for training

Methods Documentation

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

Event-wise prediction for the EventSource-Loop.

Fills the event.dl2.<your-feature>[name] container.

Parameters

event: ArrayEventContainer

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

Predict on a table of events