Removed unused function.

.travis.yml

@@ -24,7 +24,7 @@ before_install:
 - if [ -n "${NUMPYSPEC}" ]; then sudo apt-get install -qq libatlas-dev libatlas-base-dev liblapack-dev gfortran; fi
 - if [ -n "${NUMPYSPEC}" ]; then pip install --upgrade pip setuptools; fi
 - if [ -n "${NUMPYSPEC}" ]; then pip install --find-links http://wheels.astropy.org/ --find-links http://wheels2.astropy.org/ --use-wheel numpy$NUMPYSPEC; fi
-- pip install --find-links http://wheels.astropy.org/ --find-links http://wheels2.astropy.org/ --use-wheel scipy$SCIPYSPEC matplotlib==1.3.0 sphinx nose==1.3.0
+- pip install --find-links http://wheels.astropy.org/ --find-links http://wheels2.astropy.org/ --use-wheel scipy$SCIPYSPEC matplotlib==1.3.0 sphinx nose==1.3.0 jinja2==2.6
 - pip install cpp-coveralls
 install:
 - python bootstrap.py

bob/learn/boosting/cpp/LossFunction.cpp

 #include <bob.learn.boosting/LossFunction.h>
 #include <math.h>
 
-static inline double sqr(const double x){
-  return x*x;
-}
-
 void bob::learn::boosting::LossFunction::lossSum(const blitz::Array<double,1>& alpha, const blitz::Array<double,2>& targets, const blitz::Array<double,2>& previous_scores, const blitz::Array<double,2>& current_scores, blitz::Array<double,1>& loss_sum) const{
   // compute the scores and loss for the current alpha
   scores.resize(targets.shape());