class LDATests(unittest.TestCase, BaseTests):
def setUp(self):
self.corpus = Corpus.from_file('deerwester')
self.model = LdaWrapper(num_topics=5)
def test_too_large_id(self):
self.model.fit(self.corpus)
with self.assertRaises(ValueError):
self.model.get_topics_table_by_id(6)
def test_fit_transform(self):
corpus = super().test_fit_transform()
self.assertEqual(len(corpus.domain.attributes), 5)
self.assertEqual(corpus.X.shape, (len(self.corpus), 5))
class LDATests(unittest.TestCase, BaseTests):
def setUp(self):
self.corpus = Corpus.from_file('deerwester')
self.model = LdaWrapper(num_topics=5)
def test_too_large_id(self):
self.model.fit(self.corpus)
with self.assertRaises(ValueError):
self.model.get_topics_table_by_id(6)
def test_fit_transform(self):
corpus = super().test_fit_transform()
self.assertEqual(len(corpus.domain.attributes), 5)
self.assertEqual(corpus.X.shape, (len(self.corpus), 5))
def setUp(self):
self.corpus = Corpus.from_file('deerwester')
self.model = LdaWrapper(num_topics=5)
def setUp(self):
self.corpus = Corpus.from_file('deerwester')
self.model = LdaWrapper(num_topics=5)
self.on_params_change()
def set_visual_settings(self, key: KeyType, value: ValueType):
self.graph.parameter_setter.set_parameter(key, value)
self.visual_settings[key] = value
def clear(self):
self.Error.clear()
self.graph.clear_all()
self.data = None
self.topic_list = []
self.term_topic_matrix = None
self.term_frequency = None
self.num_tokens = None
def send_report(self):
self.report_items((
("Relevance", self.relevance),
("Shown topic", self.topic_list[self.selected_topic]),
))
self.report_plot()
if __name__ == "__main__":
corpus = Corpus.from_file("deerwester")
lda = LdaWrapper(num_topics=5)
lda.fit_transform(corpus)
topics = lda.get_all_topics_table()
WidgetPreview(OWLDAvis).run(topics)
