An implementation of the greedy algorithm for SVD, using the power method for the 1-dimensional case.
And the first (motivational) post in the series: Singular Value Decomposition Part 1: Perspectives on Linear Algebra
Run the following to set up all the requirements needed to run the code in this repository.
$ virtualenv venv $ source venv/bin/activate $ pip install -r requirements.txt $ bash setup.sh # downloads relevant NLP corpora from nltk
python3 topicmodel.py for the main topic-model routine,
svd.py for the core svd algorithm, and
demo.py for the numpy examples from the post.
When finished, run
$ deactivate to exit the virtual environment.