TBNN#

#include <TBNN.h>
Brief description

How to reference this class#

Copy the following pieces of RST/Markdown code to cite this element in other parts of the sphinx documentation (there is a copy button on the top-right when hovering the code block):

:ref:`TBNN <class-tbnn>`
[TBNN](#class-tbnn)

Detailed description#

List of Public Methods#

List of Private Methods#

Complete Member Function Documentation#

predict#

Definition
vector<double> TBNN::predict(vector< double > lambda, vector< vector< double > > T)
Brief description
Detailed description
How to reference this method:

Copy the following pieces of RST/Markdown code to cite this element in other parts of the sphinx documentation (there is a copy button on the top-right when hovering the code block):

:ref:`vector<double> TBNN::predict(vector< double > lambda, vector< vector< double > > T) <tbnn-public-vector-double-tbnn-predict-vector-double-lambda-vector-vector-double-t>`
[vector<double> TBNN::predict(vector< double > lambda, vector< vector< double > > T)](#tbnn-public-vector-double-tbnn-predict-vector-double-lambda-vector-vector-double-t)

TBNN#

Definition
TBNN::TBNN(string keras_model_file, string preproc_file)
Brief description
Detailed description
References
How to reference this method:

Copy the following pieces of RST/Markdown code to cite this element in other parts of the sphinx documentation (there is a copy button on the top-right when hovering the code block):

:ref:`TBNN::TBNN(string keras_model_file, string preproc_file) <tbnn-public-tbnn-tbnn-string-keras-model-file-string-preproc-file>`
[TBNN::TBNN(string keras_model_file, string preproc_file)](#tbnn-public-tbnn-tbnn-string-keras-model-file-string-preproc-file)

~TBNN#

Definition
TBNN::~TBNN()
Brief description
Detailed description
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:ref:`TBNN::~TBNN() <tbnn-public-tbnn-dtor-tbnn>`
[TBNN::~TBNN()](#tbnn-public-tbnn-dtor-tbnn)

applyNN#

Definition
void TBNN::applyNN()
Brief description
Detailed description
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:ref:`void TBNN::applyNN() <tbnn-private-void-tbnn-applynn>`
[void TBNN::applyNN()](#tbnn-private-void-tbnn-applynn)

process_b#

Definition
void TBNN::process_b()
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Detailed description
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:ref:`void TBNN::process_b() <tbnn-private-void-tbnn-process-b>`
[void TBNN::process_b()](#tbnn-private-void-tbnn-process-b)

process_lambda#

Definition
void TBNN::process_lambda(vector< double > lambda)
Brief description
Detailed description
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:ref:`void TBNN::process_lambda(vector< double > lambda) <tbnn-private-void-tbnn-process-lambda-vector-double-lambda>`
[void TBNN::process_lambda(vector< double > lambda)](#tbnn-private-void-tbnn-process-lambda-vector-double-lambda)

process_T#

Definition
void TBNN::process_T(vector< vector< double > > T)
Brief description
Detailed description
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:ref:`void TBNN::process_T(vector< vector< double > > T) <tbnn-private-void-tbnn-process-t-vector-vector-double-t>`
[void TBNN::process_T(vector< vector< double > > T)](#tbnn-private-void-tbnn-process-t-vector-vector-double-t)

Attributes Documentation#

_b (private)
vector<double> TBNN::_b
_g (private)
vector<double> TBNN::_g
_model (private)
KerasModel TBNN::_model
_pb (private)
vector<double> TBNN::_pb
_plambda (private)
vector<double> TBNN::_plambda
_ppNN (private)
PrePostNN* TBNN::_ppNN
_pT (private)
vector<vector<double>> TBNN::_pT