def load_topics(self, dirname):
self.topics = []
for subdir in [x[0] for x in os.walk(dirname)][1:]:
for file in os.listdir(subdir):
if file.endswith('pkl'):
print("attempting... ", file)
lda = ScikitLda.load(subdir + "/" + file)
for topic in lda.topics:
self.topics.append(topic / topic.sum())
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from scipy.spatial.distance import cosine
from corpora.scikit import ScikitLda
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Calculate distance between topics")
parser.add_argument("-t", "--topic-model", default=None, required=True)
args = parser.parse_args()
lda = ScikitLda.load(args.topic_model)
topics = []
for topic in lda.topics:
topics.append(topic / topic.sum())
for i in range(len(topics)):
for j in range(i + 1, len(topics)):
print("Topic#{0} Topic#{1} {2}".format(i, j, cosine(topics[i], topics[j])))
