MasterTask Class Reference

Inheritance diagram for MasterTask:

Collaboration diagram for MasterTask:

Static Public Attributes
	process_type
	Define which kind of process shall be used. More...
	n_events_training
	Number of events to generate for the training data set. More...
	n_events_testing
	Number of events to generate for the test data set. More...
	n_events_per_task
	Number of events per task. More...

Detailed Description

Wrapper task that needs to finish for b2luigi to finish running this steering file.

It is done if the outputs of all required subtasks exist.  It is thus at the
top of the luigi task graph.  Edit the ``requires`` method to steer which
tasks and with which parameters you want to run.

Definition at line 2470 of file combined_quality_estimator_teacher.py.

Member Data Documentation

n_events_per_task

n_events_per_task

static

Initial value:

=  b2luigi.get_setting(
        
 
    )

Number of events per task.

Used to split up the simulation tasks.

Definition at line 2496 of file combined_quality_estimator_teacher.py.

n_events_testing

n_events_testing

static

Initial value:

=  b2luigi.get_setting(
        
 
    )

Number of events to generate for the test data set.

Definition at line 2491 of file combined_quality_estimator_teacher.py.

n_events_training

n_events_training

static

Initial value:

=  b2luigi.get_setting(
        
 
    )

Number of events to generate for the training data set.

Definition at line 2486 of file combined_quality_estimator_teacher.py.

process_type

process_type

static

Initial value:

=  b2luigi.get_setting(
        
 
    )

Define which kind of process shall be used.

Decide between simulating BBBAR or BHABHA, MUMU, YY, DDBAR, UUBAR, SSBAR, CCBAR, reconstructing DATA or already simulated files (USESIMBB/EE) or running on existing reconstructed files (USERECBB/EE)

Definition at line 2481 of file combined_quality_estimator_teacher.py.

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The documentation for this class was generated from the following file:

• tracking/scripts/tracking/train/combined_quality_estimator_teacher.py