amount = config.amount
path = data.getDataDir(config.amount, config.cut, config.big)
# gets all files
fileList = os.listdir(path)
fileExt = ".png"
imgs = filter(lambda File: File[-4:] == fileExt, fileList)
imgs.sort()
print "Found %d %s images" % (len(imgs), fileExt)
ranks, names, histograms = data.getBinnedHistograms(amount, cut=True, big=False)
X = np.array([image.imgToArray(path+imgs[i]) for i in xrange(len(imgs))])
print X.shape, histograms.shape
website_names = imgs
BIN_HISTOGRAMS = {}
IMG_ARRAYS = {}
assert(len(names) == len(website_names))
for i in xrange(len(names)):
assert(website_names[i] == names[i])
IMG_ARRAYS[names[i]] = X[i]
BIN_HISTOGRAMS[names[i]] = histograms[i]
names = np.array(names)
def test(data, names, recommender, fractionTrain=.8, highFactor=.1, verbose=False):
"""
Parameters:
