PyCTM
PyCTM is a Correlated Topic Modeling package, please download the latest version from our GitHub repository.
Please send any bugs of problems to Ke Zhai (kzhai@umd.edu).
Install and Build
This package depends on many external python libraries, such as numpy and scipy. Download and install the package with
git clone https://github.com/kzhai/PyCTM.git
cd PyCTM
python setup.py install
This will install the library pyctm
on your system.
Launch and Execute
Assume the PyCTM package is downloaded under directory $PROJECT_SPACE/src/
, i.e.,
$PROJECT_SPACE/src/PyCTM
To prepare the example dataset,
tar zxvf pnas-abstract.tar.gz
To launch PyCTM, first redirect to the directory of PyCTM source code,
cd $PROJECT_SPACE/src/PyCTM
and run the following command on example dataset,
python bin/launch_train.py --input_directory=./pnas-abstract --output_directory=./ --number_of_topics=10 --training_iterations=50
The generic argument to run PyCTM is
python bin/launch_train.py --input_directory=$INPUT_DIRECTORY/$CORPUS_NAME --output_directory=$OUTPUT_DIRECTORY --number_of_topics=$NUMBER_OF_TOPICS --training_iterations=$NUMBER_OF_ITERATIONS
You should be able to find the output at directory $OUTPUT_DIRECTORY/$CORPUS_NAME
.
Under any circumstances, you may also get help information and usage hints by running the following command
python bin/launch_train.py --help