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# to you under the Apache License, Version 2.0 (the
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# with the License.  You may obtain a copy of the License at
#
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findBetas = function(Matrix[double] X, Matrix[double] y)
             return (Matrix[double] all_betas)
{
  R = matrix(0, rows=10*(ncol(X)+1), cols=5);
  for (lamda in 20:39) {
    #betas = multiLogReg(X=X, Y=y, maxii=0, verbose=FALSE);
    betas = multiLogReg(X=X, Y=y, icpt=2, tol=0.000001,
                        reg=lamda, maxi=100, maxii=0, verbose=FALSE);
    R[1:ncol(X)+1,] = betas;
  }
  all_betas = R;
}

findIcpt = function(Matrix[double] X, Matrix[double] y)
           return (Matrix[double] all_betas)
{
  R = matrix(0, rows=12*(ncol(X)+2), cols=5);
  for (lamda in 20:29) {
    for (icpt in 1:2) {
      #Function level reuse of 3 out of 6 calls.
      betas = multiLogReg(X=X, Y=y, icpt=icpt, tol=0.000001,
                          reg=lamda, maxi=100, maxii=0, verbose=FALSE);
      #betas = multiLogReg(X=X, Y=y, icpt=icpt, maxii=0, verbose=FALSE);
      R[1:ncol(X)+1,] = betas;
    }
  }
  all_betas = R;
}


X = rand(rows=1000, cols=100, sparsity=1.0, seed=42);
y = rand(rows=1000, cols=1, min=0, max=6, sparsity=1.0, seed=42);
y = floor(y);

all_betas1 = findBetas(X, y);
all_betas2 = findIcpt(X, y);
while(FALSE){}
R = rbind(all_betas1, all_betas2);

write(R, $1, format="text");