RecoTrackQETeacherTask Class Reference

Inheritance diagram for RecoTrackQETeacherTask:

Collaboration diagram for RecoTrackQETeacherTask:

Public Member Functions
def	requires (self)
def	weightfile_identifier_basename (self)
def	get_weightfile_xml_identifier (self, fast_bdt_option=None, recotrack_option=None)
def	tree_name (self)
def	random_seed (self)
Basf2PathTask	data_collection_task (self)
def	output (self)
def	process (self)

Static Public Attributes
	recotrack_option = b2luigi.Parameter(default='deleteCDCQI080')
	RecoTrack option, use string that is additive: deleteCDCQI0XY (= deletes CDCTracks with CDC-QI below 0.XY), useCDC (= uses trained CDC stored in datafiles/), useVXD (uses trained VXD stored in datafiles/), noVXD (= doesn't use the VXD MVA at all)
string	weightfile_identifier_basename = "recotrack_mva_qe"
	Name of the weightfile that is created.
string	tree_name = "tree"
	Name of the TTree in the ROOT file from the data_collection_task that contains the training data for the MVA teacher.
string	random_seed = "train_rec"
	Random basf2 seed used to create the training data set.
	data_collection_task = RecoTrackQEDataCollectionTask
	Defines DataCollectionTask to require by tha base class to collect features for the MVA training.
	cdc_training_target = b2luigi.Parameter()
	Feature/variable to use as truth label for the CDC track quality estimator.
	n_events_training = b2luigi.IntParameter()
	Number of events to generate for the training data set.
	experiment_number = b2luigi.IntParameter()
	Experiment number of the conditions database, e.g. More...
	process_type = b2luigi.Parameter(default="BBBAR")
	Define which kind of process shall be used. More...
	training_target = b2luigi.Parameter(default="truth")
	Feature/variable to use as truth label in the quality estimator MVA classifier.
	exclude_variables = b2luigi.ListParameter(hashed=True, default=[])
	List of collected variables to not use in the training of the QE MVA classifier. More...
	fast_bdt_option = b2luigi.ListParameter(hashed=True, default=[200, 8, 3, 0.1])
	Hyperparameter option of the FastBDT algorithm. More...

Detailed Description

Task to run basf2 mva teacher on collected data for the final, combined
track quality estimator

Definition at line 1195 of file combined_quality_estimator_teacher.py.

Member Function Documentation

data_collection_task()

Basf2PathTask data_collection_task (   self )

inherited

Property defining the specific ``DataCollectionTask`` to require.  Must
implemented by the inheriting specific teacher task class.

Definition at line 1087 of file combined_quality_estimator_teacher.py.

get_weightfile_xml_identifier()

def get_weightfile_xml_identifier (   self,   fast_bdt_option = None,   recotrack_option = None  )

inherited

Name of the xml weightfile that is created by the teacher task.
It is subsequently used as a local weightfile in the following validation tasks.

Definition at line 1051 of file combined_quality_estimator_teacher.py.

output()

def output (   self )

inherited

Generate list of output files that the task should produce.
The task is considered finished if and only if the outputs all exist.

Definition at line 1116 of file combined_quality_estimator_teacher.py.

process()

def process (   self )

inherited

Use basf2_mva teacher to create MVA weightfile from collected training
data variables.

This is the main process that is dispatched by the ``run`` method that
is inherited from ``Basf2Task``.

Definition at line 1123 of file combined_quality_estimator_teacher.py.

random_seed()

def random_seed (   self )

inherited

Property defining random seed to be used by the ``GenerateSimTask``.
Should differ from the random seed in the test data samples.  Must
implemented by the inheriting specific teacher task class.

Definition at line 1078 of file combined_quality_estimator_teacher.py.

requires()

def requires

(

self

)

Generate list of luigi Tasks that this Task depends on.

Reimplemented from TrackQETeacherBaseTask.

Definition at line 1218 of file combined_quality_estimator_teacher.py.

tree_name()

def tree_name (   self )

inherited

Property defining the name of the tree in the ROOT file from the
``data_collection_task`` that contains the recorded training data.  Must
implemented by the inheriting specific teacher task class.

Definition at line 1069 of file combined_quality_estimator_teacher.py.

weightfile_identifier_basename()

def weightfile_identifier_basename (   self )

inherited

Property defining the basename for the .xml and .root weightfiles that are created.
Has to be implemented by the inheriting teacher task class.

Definition at line 1042 of file combined_quality_estimator_teacher.py.

Member Data Documentation

exclude_variables

exclude_variables = b2luigi.ListParameter(hashed=True, default=[])

staticinherited

List of collected variables to not use in the training of the QE MVA classifier.

In addition to variables containing the "truth" substring, which are excluded by default.

Definition at line 1037 of file combined_quality_estimator_teacher.py.

experiment_number

experiment_number = b2luigi.IntParameter()

staticinherited

Experiment number of the conditions database, e.g.

defines simulation geometry

Definition at line 1028 of file combined_quality_estimator_teacher.py.

fast_bdt_option

fast_bdt_option = b2luigi.ListParameter(hashed=True, default=[200, 8, 3, 0.1])

staticinherited

Hyperparameter option of the FastBDT algorithm.

default are the FastBDT default values.

Definition at line 1039 of file combined_quality_estimator_teacher.py.

process_type

process_type = b2luigi.Parameter(default="BBBAR")

staticinherited

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 1032 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