def get_sample_source(prob_label):
"""Return a (SampleSource, n) representing the problem"""
if prob_label not in label2fname:
raise ValueError('Unknown problem label. Need to be one of %s'%str(label2fname.keys()) )
fname = label2fname[prob_label]
tst_data, n = load_nips_TSTData(fname)
ss = data.SSResample(tst_data)
return ss, n
def get_sample_source(prob_label):
"""Return a (SampleSource, n) representing the problem"""
if prob_label not in label2fname:
raise ValueError('Unknown problem label. Need to be one of %s' %
str(label2fname.keys()))
if prob_label == 'crop48_h0':
one_sample = glo.load_data_file(label2fname[prob_label])
n_max = one_sample.shape[0] / 2
return data.SSNullResample(one_sample), n_max
fname = label2fname[prob_label]
tst_data = glo.load_data_file(fname)
n = tst_data.X.shape[0]
ss = data.SSResample(tst_data)
return ss, n