vectorlab 1.0.3

A lab for vectors.

VectorLab is a library to help solve scientific and engineering problems of mathematics and machine learning. It is built upon various fabulous softwares and tries to fill the gap when playing around with those softwares.

VectorLab consists of many modules including data generation, graph processing, series processing, statistics, optimization, ensemble mechanism and more.

VectorLab is distributed under the 3-Clause BSD license.

Installation

Dependencies

VectorLab supports Python 3.8+ only.

PyPI Installation

The lastest version of VectorLab could be installed from PyPI.

pip install -U vectorlab

VectorLab also needs PyTorch and PyG support. It is highly recommended to handle these two package installations manually. If you only care for the CPU version of PyTorch and PyG, you can also install vectorlab from PyPI with extensions.

pip install -U -e vectorlab[.full]

Development

We welcome contributions from all sources.

Source code

You can check the latest commit with git:

git clone https://github.com/Kr4t0n/vectorlab.git

Testing

After the regular installation, you will need pytest to test VectorLab. You can install corresponding dependencies with:

pip install -U -e vectorlab[.test]

You can launch the test suite with:

pytest vectorlab