def setUp(self):
from vsm.corpus.util.corpusbuilders import random_corpus
from vsm.model.tf import TfSeq
from vsm.model.tfidf import TfIdf
from vsm.model.lsa import Lsa
c = random_corpus(10000, 1000, 0, 30, context_type='document', metadata=True)
tf = TfSeq(c, 'document')
tf.train()
tfidf = TfIdf.from_tf(tf)
tfidf.train()
m = Lsa.from_tfidf(tfidf)
m.train()
self.v = LsaViewer(c, m)
class TestLsaViewer(unittest.TestCase):
def setUp(self):
from vsm.corpus.util.corpusbuilders import random_corpus
from vsm.model.tf import TfSeq
from vsm.model.tfidf import TfIdf
from vsm.model.lsa import Lsa
c = random_corpus(10000, 1000, 0, 30, context_type='document', metadata=True)
tf = TfSeq(c, 'document')
tf.train()
tfidf = TfIdf.from_tf(tf)
tfidf.train()
m = Lsa.from_tfidf(tfidf)
m.train()
self.v = LsaViewer(c, m)
def test_Lsaviewer(self):
from vsm.viewer.labeleddata import LabeledColumn, IndexedSymmArray
sww = self.v.dist_word_word('1')
swwl = self.v.dist_word_word(['1', '0'])
sdd = self.v.dist_doc_doc(1)
sddl = self.v.dist_doc_doc([1, 0])
self.assertTrue(type(sww) == LabeledColumn)
self.assertTrue(type(swwl) == LabeledColumn)
self.assertTrue(type(sdd) == LabeledColumn)
self.assertTrue(type(sddl) == LabeledColumn)
sw = self.v.dismat_word(['2','4','5'])
sd = self.v.dismat_doc([1, 0])
self.assertTrue(type(sw) == IndexedSymmArray)
self.assertTrue(type(sd) == IndexedSymmArray)
