def setUp(self):
from vsm.corpus.util.corpusbuilders import random_corpus
from vsm.model.tf import TfSeq
c = random_corpus(1000, 50, 0, 20, context_type='document', metadata=True)
m = TfSeq(c, 'document')
m.train()
self.v = TfViewer(c, m)
def setUp(self):
from vsm.corpus.util.corpusbuilders import random_corpus
from vsm.model.tf import TfSeq
from vsm.model.tfidf import TfIdf
c = random_corpus(1000, 50, 0, 10, context_type='document', metadata=True)
tf = TfSeq(c, 'document')
tf.train()
m = TfIdf.from_tf(tf)
m.train()
self.v = TfIdfViewer(c, m)
def setUp(self):
from vsm.corpus.util.corpusbuilders import random_corpus
from vsm.model.tf import TfSeq
c = random_corpus(1000,
50,
0,
20,
context_type='document',
metadata=True)
m = TfSeq(c, 'document')
m.train()
self.v = TfViewer(c, m)