Belle II Software
release-08-01-10
|
Public Member Functions | |
def | create_dedx_bins (self, data) |
def | create_p_bins (self, data) |
def | use_only_the_highest_values (self, data, number_of_values=None) |
def | create_fit_data (self, dedx_bin) |
def | fit_p_to_dedx_bin (self, dedx_bin) |
def | train (self, data) |
def | test (self, data) |
Public Attributes | |
dedx_estimator_function | |
by default, the dE/dx-particle-identification trainer has not run yet | |
dedx_column | |
the default data column is 'dedx' | |
Static Public Attributes | |
int | number_of_bins_in_dedx = 20 |
number of dE/dx bins | |
int | number_of_bins_in_p = 29 |
number of track-momentum bins | |
int | number_of_head_values_used_to_fit = 20 |
number of head values in fit | |
Train a neural network for dE/dx-based particle identification
def create_dedx_bins | ( | self, | |
data | |||
) |
def create_fit_data | ( | self, | |
dedx_bin | |||
) |
def create_p_bins | ( | self, | |
data | |||
) |
def fit_p_to_dedx_bin | ( | self, | |
dedx_bin | |||
) |
|
inherited |
Get the trained neural-network output value for test data
Reimplemented in MVADEDXEstimationTrainer.
|
inherited |
Train on the input data
Reimplemented in MVADEDXEstimationTrainer, and FittedGroupedDEDXEstimatorTrainer.
def use_only_the_highest_values | ( | self, | |
data, | |||
number_of_values = None |
|||
) |