Belle II Software  release-05-02-19
CDCQETeacherTask Class Reference
Inheritance diagram for CDCQETeacherTask:
Collaboration diagram for CDCQETeacherTask:

Public Member Functions

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 requires (self)
 
def output (self)
 
def process (self)
 

Static Public Attributes

string weightfile_identifier_basename = "cdc_mva_qe"
 Name of the weightfile that is created.
 
string tree_name = "records"
 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_cdc"
 Random basf2 seed used to create the training data set.
 
 data_collection_task = CDCQEDataCollectionTask
 Defines DataCollectionTask to require by tha base class to collect features for the MVA training.
 
 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 CDC track quality estimator

Definition at line 1179 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)
inherited
Generate list of luigi Tasks that this Task depends on.

Reimplemented in RecoTrackQETeacherTask.

Definition at line 1096 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.


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