dimensionality-reduction-jmsv


Namedimensionality-reduction-jmsv JSON
Version 0.1.0 PyPI version JSON
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home_pagehttps://pypi.org/project/dimensionality-reduction-jmsv/#history
SummaryPackage with the PCA, SVD and t-SNE methods for dimensionality reduction
upload_time2023-04-14 09:22:56
maintainerSend_Mail
docs_urlNone
authorMauricio Sierra
requires_python>=3.10,<4.0
licenseMIT
keywords svd pca t-sne
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ![PyPI Latest Release](https://img.shields.io/pypi/v/dimensionality-reduction-jmsv.svg)
![Package Status](https://img.shields.io/pypi/status/dimensionality-reduction-jmsv.svg)
![Python Versions](https://img.shields.io/pypi/pyversions/dimensionality-reduction-jmsv)

### What is it?

**dimensionality-reduction-jmsv** is a Python package that provides three methods (PCA, SVD, t-SNE) to apply dimensionality reduction to any dataset.

### Installing the package

Requests is available on PyPI:

```bash
pip install dimensionality-reduction-jmsv
```

### License
[MIT](https://mit-license.org/)

            

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