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Belle II Software
release-08-02-04
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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 |
|||
| ) |