#-------------------------------------------------------------
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# to you under the Apache License, Version 2.0 (the
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#-------------------------------------------------------------

# The lmPredict-function predicts the class of a feature vector
#
# INPUT:
# --------------------------------------------------------------------------------------
# X        Matrix of feature vectors
# B        1-column matrix of weights.
# ytest    test labels, used only for verbose output. can be set to matrix(0,1,1)
#          if verbose output is not wanted
# icpt     Intercept presence, shifting and rescaling the columns of X
# verbose  If TRUE print messages are activated
# --------------------------------------------------------------------------------------
#
# OUTPUT:
# -----------------------------------------------------------------------------------
# yhat  1-column matrix of classes
# -----------------------------------------------------------------------------------

m_lmPredict = function(Matrix[Double] X, Matrix[Double] B, 
  Matrix[Double] ytest = matrix(0,1,1), Integer icpt = 0, Boolean verbose = FALSE) 
  return (Matrix[Double] yhat)
{
  intercept = ifelse(icpt>0 | ncol(X)+1==nrow(B), as.scalar(B[nrow(B),]), 0);
  yhat = X %*% B[1:ncol(X),] + intercept;

  if( verbose )
    lmPredictStats(yhat, ytest, TRUE);
}
