fmin code doesn't work

[ghost]

The code in the tutorial for black box function optimization doesn't work ( https://automl.github.io/RoBO/tutorials.html#blackbox-function-optimization-with-robo ). Additionally test_fmin/test_fmin_interface.py throws the same errors:

test_fmin $ python test_fmin_interface.py Traceback (most recent call last): File "test_fmin_interface.py", line 4, in <module> from robo.fmin import random_search, bayesian_optimization, bohamiann File "/usr/local/lib/python2.7/dist-packages/RoBO-0.2.1-py2.7.egg/robo/fmin/__init__.py", line 2, in <module> from .bayesian_optimization import bayesian_optimization File "/usr/local/lib/python2.7/dist-packages/RoBO-0.2.1-py2.7.egg/robo/fmin/bayesian_optimization.py", line 6, in <module> from robo.models.gaussian_process import GaussianProcess File "/usr/local/lib/python2.7/dist-packages/RoBO-0.2.1-py2.7.egg/robo/models/gaussian_process.py", line 14, in <module> class GaussianProcess(BaseModel): File "/usr/local/lib/python2.7/dist-packages/RoBO-0.2.1-py2.7.egg/robo/models/gaussian_process.py", line 70, in GaussianProcess def train(self, X, y, do_optimize=True): TypeError: unbound method _check_shapes_train() must be called with BaseModel instance as first argument (got function instance instead)

[aaronkl]

The problem is that you use python2.7. RoBO only supports python3.4 and python3.5. See also here https://github.com/automl/RoBO/issues/62