#0  0x00007ffff614e428 in __GI_raise (sig=sig@entry=6)
    at ../sysdeps/unix/sysv/linux/raise.c:54
#1  0x00007ffff615002a in __GI_abort () at abort.c:89
#2  0x00007ffff6a9184d in __gnu_cxx::__verbose_terminate_handler() ()
   from /usr/lib/x86_64-linux-gnu/libstdc++.so.6
#3  0x00007ffff6a8f6b6 in ?? () from /usr/lib/x86_64-linux-gnu/libstdc++.so.6
#4  0x00007ffff6a8f701 in std::terminate() ()
   from /usr/lib/x86_64-linux-gnu/libstdc++.so.6
#5  0x00007ffff6a8f919 in __cxa_throw ()
   from /usr/lib/x86_64-linux-gnu/libstdc++.so.6
#6  0x00000000004b5481 in arma::arma_stop<char const*> (
    x=@0x7fffffffaf60: 0x538a70 "Mat::cols(): indices out of bounds or incorrectly used") at /usr/include/armadillo_bits/debug.hpp:104
#7  0x00000000004d6a4b in arma::arma_check<char [55]> (state=true, x=...)
    at /usr/include/armadillo_bits/debug.hpp:346
#8  0x00000000004afd7b in arma::Mat<double>::cols (in_col2=153, in_col1=60,
    this=0x7fffffffb9c0) at /usr/include/armadillo_bits/Mat_meat.hpp:3050
#9  mlpack::lmnn::Constraints::Impostors (this=0x7fffffffb9c0,
    outputMatrix=..., begin=60, batchSize=94)
    at /home/manish/mlpack/src/mlpack/methods/lmnn/constraints_impl.hpp:152
#10 0x00000000004fc715 in mlpack::lmnn::LMNNFunction<mlpack::metric::LMetric<2, true> >::Evaluate (this=0x7fffffffd850, coordinates=..., begin=60,
    batchSize=94)
---Type <return> to continue, or q <return> to quit---
   mpl.hpp:132
#11 0x00000000004ec1c3 in mlpack::optimization::AddDecomposableEvaluate<mlpack::lmnn::LMNNFunction<mlpack::metric::LMetric<2, true> >, true, true>::Evaluate (
    this=0x7fffffffd850, coordinates=..., begin=60, batchSize=94) at /home/manish/mlpack/src/mlpack/core/optimizers/function/add_decomposable_evaluate.hpp:55
#12 0x00000000004fbf99 in mlpack::optimization::AdaptiveStepsize::Backtracking<mlpack::optimization::Function<mlpack::lmnn::LMNNFunction<mlpack::metric::LMetric<2, true> > > > (this=0x7fffffffd840, function=..., stepSize=@0x7fffffffd818: 6.581727412108832e-22, iterate=..., gradient=..., gradientNorm=0.33325479810306569, offset=60,
    backtrackingBatchSize=94) at /home/manish/mlpack/src/mlpack/core/optimizers/bigbatch_sgd/adaptive_stepsize.hpp:147


#13 0x00000000004ebdf4 in mlpack::optimization::AdaptiveStepsize::Update<mlpack::optimization::Function<mlpack::lmnn::LMNNFunction<mlpack::metric::LMetric<2, true> > > > (this=0x7fffffffd840, function=..., stepSize=@0x7fffffffd818: 6.581727412108832e-22, iterate=..., gradient=..., gradientNorm=0.33325479810306569,
    sampleVariance=2749.6197644796785, offset=60, batchSize=94, backtrackingBatchSize=94) <-----"Here is the problem, batchSize has increased to 94, so giving last element at index 60 + 94 -1 = 153, while as iris have just 150 points"
 at /home/manish/mlpack/src/mlpack/core/optimizers/bigbatch_sgd/adaptive_stepsize.hpp:86



#14 0x00000000004ddf7c in mlpack::optimization::BigBatchSGD<mlpack::optimization::AdaptiveStepsize>::Optimize<mlpack::lmnn::LMNNFunction<mlpack::metric::LMetric<2, true> > > (this=0x7fffffffd810, function=..., iterate=...) at /home/manish/mlpack/src/mlpack/core/optimizers/bigbatch_sgd/bigbatch_sgd_impl.hpp:175
#15 0x00000000004cb3fc in mlpack::lmnn::LMNN<mlpack::metric::LMetric<2, true>, mlpack::optimization::BigBatchSGD<mlpack::optimization::AdaptiveStepsize> >::LearnDistance (this=0x7fffffffd7f0, outputMatrix=...) at /home/manish/mlpack/src/mlpack/methods/lmnn/lmnn_impl.hpp:49
#16 0x00000000004b4195 in mlpackMain () at /home/manish/mlpack/src/mlpack/methods/lmnn/lmnn_main.cpp:250
#17 0x00000000004ae349 in main (argc=15, argv=0x7fffffffde58) at /home/manish/mlpack/src/mlpack/core/util/mlpack_main.hpp:68