pervect 0.0.2

How to use PerVect

The pervect library inheritis from sklearn classes and can be used as an sklearn transformer.

import pervect
vects = pervect.PersistenceVectorizer().fit_transform(diagrams)

It can also be used in standard sklearn pipelines along with other machine learning tools including clustering and classifiers.

Installation

Requirements:

• Python >= 3.6

• scikit-learn

• umap-learn

• numba

• joblib

• pot

You can install pervect from PyPI with pip:

pip install pervect

For a manual install get this package:

wget https://github.com/scikit-tda/pervect/archive/master.zip
unzip master.zip
rm master.zip
cd pervect-master

Install the requirements

sudo pip install -r requirements.txt

Install the package

pip install .

License

The pervect package is 3-clause BSD licensed.

We would like to note that the pervect package makes heavy use of NumFOCUS sponsored projects, and would not be possible without their support of those projects, so please consider contributing to NumFOCUS.

Contributing

Contributions are more than welcome! There are lots of opportunities for potential projects, so please get in touch if you would like to help out. Everything from code to notebooks to examples and documentation are all equally valuable so please don’t feel you can’t contribute. To contribute please fork the project make your changes and submit a pull request. We will do our best to work through any issues with you and get your code merged into the main branch.