def test_train_and_topics_categorical():
model = MetaBowEstimator(vocabulary, batch_size=32)
model.fit(X_scipy, y_numpy)
model.get_topic_vectors()
assert (True)
def test_train_and_npmi_categorical():
model = MetaBowEstimator(vocabulary, batch_size=32)
model.fit(X_scipy, y_numpy)
assert (model._npmi_per_covariate(X_scipy, y_numpy, 10) == 0)
def test_train_and_transform_categorical():
model = MetaBowEstimator(vocabulary, batch_size=32)
model.fit(X_scipy, y_numpy)
trans = model.transform(X_scipy, y_numpy)
assert (np.all(trans == trans[0]))
def test_train_and_perplexity_categorical():
model = MetaBowEstimator(vocabulary, batch_size=32)
model.fit(X_scipy, y_numpy)
model.perplexity(X_scipy, y_numpy)
assert (True)