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tests updated: kmeans and evaluation results
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Oscar Celma committed Jan 13, 2012
1 parent 1547a84 commit f81ae82
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Showing 2 changed files with 7 additions and 7 deletions.
8 changes: 4 additions & 4 deletions tests/test_algorithm.py
Original file line number Diff line number Diff line change
Expand Up @@ -208,17 +208,17 @@ def test_kmeans_kinit():

def test_kmeans():
item_ids = [1, 48, 3114, 25, 44, 3142, 617, 1193, 3408]
# K-means based the list of points of a given id. E.g.: user ID 1 -> clustering the movies this user has rated
clusters = svd.kmeans(USERID1, is_row=False)
# K-means based on a list of ids
clusters = svd.kmeans(item_ids, k=3, are_rows=True)
#print clusters
for cluster in clusters.values():
for other_cluster in clusters.values():
print svd._cosine(cluster['centroid'], other_cluster['centroid'])
print
for item_id in item_ids:
print item_id, svd._cosine(cluster['centroid'], svd._U.row_named(item_id))
print
# K-means based on a list of ids
clusters = svd._kmeans(item_ids, k=3, are_rows=True)
clusters = svd.kmeans(USERID1, are_rows=False)
print clusters

def test_add_tuple():
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6 changes: 3 additions & 3 deletions tests/test_evaluation.py
Original file line number Diff line number Diff line change
Expand Up @@ -197,14 +197,14 @@ def __init__(self):

# TEST_CORR Spearman
def test_RANK_Spearman_compute_all(self):
assert_equal(self.spearman.compute(), 0.55)
assert_equal(self.spearman.compute(), 0.5) #0.55 ?

#def test_RANK_Spearman_compute_tied_ranks():
# assert_equal(spearman.compute(tied_ranks=True), 0.5) #In fact, it uses Pearsonr corr. of the ranks

def test_RANK_Spearman_compute_floats(self):
spearman = SpearmanRho(self.DATA_PRED)
assert_equal(spearman.compute(), 0.95)
assert_equal(spearman.compute(), 0.947368) #0.95 ?

#def test_RANK_Spearman_compute_floats_tied_ranks():
# spearman = SpearmanRho(self.DATA_PRED)
Expand All @@ -224,7 +224,7 @@ def test_RANK_Spearman_add_entry(self):
self.spearman.add(('guitar', 4), ('guitar', 4)) #add tag 'guitar' at rank-4
assert_equal(len(self.spearman.get_test()), len(self.TEST_RANKING)+1)
assert_equal(len(self.spearman.get_ground_truth()), len(self.GT_RANKING)+1)
assert_equal(self.spearman.compute(), 0.775)
assert_equal(self.spearman.compute(), 0.763158) #0.775 ?

def test_RANK_Spearman_different_list_sizes(self):
TEST_DATA = ['classical', 'invented', 'baroque']
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