def testcategorialHistogramm(self):
k = histogramm()
for i in xrange(100000):
dict = {"c1" : random.uniform(0,1.1), "c2" : random.uniform(0,1), "c3" : random.uniform(0,1), "c4" : random.uniform(0,1) }
k.binify_categorial(dict)
catHistogram = k.get_histogramm(sorted = False)
print catHistogram
def testNominalHistogramm(self):
h = histogramm()
r = []
for i in xrange(20000):
r_ = random.gauss(1,0.1)
while ( h.maxx < r_ or h.minx > r_ ):
r_ = random.gauss(1,1)
# r.append( random.uniform(0,1) )
r.append( r_ )
h.binify_real(r)
print h.get_histogramm()
def test_random_prefer_older(self):
random_prefer_older_recommender = random_prefer_base(1)
ignores = []
h = histogramm.histogramm()
for i in xrange(10000):
recs = random_prefer_older_recommender.get_recommendation(4, 123, ignores)
h.binify_categorial( recs )
recs = h.get_histogramm()
print "histogram of recommended items. an older item should have a much higher score then an older one \n"
print recs
