#group=[["A-E","A-P"],["I-E","I-P","A-X","I-X","UK"]]
#group=[["A-E","A-P","A-X"],["I-E","I-P","I-X","UK"]]
group=[["A-E"],["A-P"],["I-E","I-P","A-X","I-X","UK"]]
#group=[["A-E"],["A-P"],["A-X"],["I-E","I-P","I-X","UK"]]
#group=[["A-E"],["I-E"]]
#group=[["A-P"],["I-P"]]
#group=[["A-E"],["A-P"]]
#group=[["A-E"],["A-X"]]
#group=[["A-P"],["A-X"]]
#group=[["A-E"],["A-P"],["A-X"]]
#group=[["A-E","I-E"],["A-P","I-P"]]
#group=[["A-E","A-P"],["I-E","I-P"]]
#group=[["A-E","I-E"],["A-P","I-P"],["A-X","I-X"]]
#group=[["A-E","A-P","A-X"],["I-E","I-P","I-X"]]
#group=[["I-E"],["I-P"]]
classes=cl.merge_class_labels(classes,group)
print numpy.unique(classes)
classes_unique,classes=cl.change_class_labels(classes)
print numpy.unique(classes)
# set random state
#numpy.random.seed(1000)
rng=numpy.random.RandomState(2000)
data,classes,others=cl.balance_sample_size(data,classes,others=None,min_size_given=None,rng=rng)
print data.shape
print numpy.unique(classes)
#group=[["A-E","A-P"],["I-E","I-P","A-X","I-X","UK"]]
#group=[["A-E","A-P","A-X"],["I-E","I-P","I-X","UK"]]
group = [["A-E"], ["A-P"], ["I-E", "I-P", "A-X", "I-X", "UK"]]
#group=[["A-E"],["A-P"],["A-X"],["I-E","I-P","I-X","UK"]]
#group=[["A-E"],["I-E"]]
#group=[["A-P"],["I-P"]]
#group=[["A-E"],["A-P"]]
#group=[["A-E"],["A-X"]]
#group=[["A-P"],["A-X"]]
#group=[["A-E"],["A-P"],["A-X"]]
#group=[["A-E","I-E"],["A-P","I-P"]]
#group=[["A-E","A-P"],["I-E","I-P"]]
#group=[["A-E","I-E"],["A-P","I-P"],["A-X","I-X"]]
#group=[["A-E","A-P","A-X"],["I-E","I-P","I-X"]]
#group=[["I-E"],["I-P"]]
classes = cl.merge_class_labels(classes, group)
print numpy.unique(classes)
classes_unique, classes = cl.change_class_labels(classes)
print numpy.unique(classes)
# set random state
rng = numpy.random.RandomState(2000)
data, classes, others = cl.balance_sample_size(data,
classes,
others=None,
min_size_given=None,
rng=rng)
