def setUp(self):
self.ev = Evaluator()
sys.exit(1)
##############################
# Online document clustering #
##############################
# Reduce dimension for visualization
logging.info("Initializing incremental PCA...")
ipca = IncrementalPCA(n_components=2)
# Init visualizers
graph_visualizer = GraphVisualizer()
# Init evaluator
logging.info("Initializing evaluator...")
evaluator = Evaluator(ground_truth_file, language=language)
# Iterate over heldout/test corpora
for t, docs_metadata in enumerate(corpora):
logging.info("Testing corpus at time #%d." % t)
docs, metadata = zip(*docs_metadata)
# Update model
model.update(docs)
# Get vector representation
docs = model[docs]
# Cluster new data
clustering.add_documents(docs, metadata)