[INFO ] Method: LMNN
[INFO ] Options: {'seed': 42, 'passes': 10, 'range': 25}
[INFO ] Library: mlpack
[INFO ] Dataset: iris

         mlpack
iris   0.005056

[INFO ] Options: {'seed': 42, 'passes': 5, 'optimizer': 'sgd', 'step_size': '1e-07'}
[INFO ] Library: mlpack
[INFO ] Dataset: iris

         mlpack
iris   0.007356

[INFO ] Options: {'num_targets': 5, 'wolfe': 0.5, 'max_iterations': 2000, 'optimizer':
'lbfgs', 'seed': 42}
[INFO ] Library: mlpack
[INFO ] Dataset: iris

         mlpack
iris   0.038874

[INFO ] Options: {'seed': 42, 'passes': 5, 'optimizer': 'bbsgd'}
[INFO ] Library: mlpack
[INFO ] Dataset: iris

         mlpack
iris   0.079819

[INFO ] Options: None
[INFO ] Library: shogun
[INFO ] Dataset: iris
methods/shogun/lmnn.py:92: RuntimeWarning: [WARN] In file /home/manish/benchmarks/libraries/shogun/src/shogun/metric/LMNNImpl.cpp line 286: Maximum number of iterations
 reached before convergence.
  prep.train()

         shogun
iris   6.229207