Representational Similarity Analysis (RSA) in Python
Project description
# Representational Similarity Analysis 3.0
[![Documentation Status](https://readthedocs.org/projects/rsatoolbox/badge/?version=latest)](https://rsatoolbox.readthedocs.io/en/latest/?badge=latest) [![PyPI version](https://badge.fury.io/py/rsatoolbox.svg)](https://badge.fury.io/py/rsatoolbox) [![Codacy Badge](https://app.codacy.com/project/badge/Grade/626ca9ec9f75485a9f73783c02710b1f)](https://www.codacy.com/gh/rsagroup/rsatoolbox?utm_source=github.com&utm_medium=referral&utm_content=rsagroup/rsatoolbox&utm_campaign=Badge_Grade) [![CodeFactor](https://www.codefactor.io/repository/github/rsagroup/rsatoolbox/badge)](https://www.codefactor.io/repository/github/rsagroup/rsatoolbox) [![codecov](https://codecov.io/gh/rsagroup/rsatoolbox/branch/master/graph/badge.svg)](https://codecov.io/gh/rsagroup/rsatoolbox)
Conceived during the RSA retreat 2019 in Blue Mountains.
[Documentation](https://rsatoolbox.readthedocs.io/)
#### Getting Started
To install the latest stable version of rsatoolbox with pip:
`sh pip install rsatoolbox `
or with conda:
`sh conda install -c conda-forge rsatoolbox `
here is a simple code sample:
`python import numpy, rsatoolbox data = rsatoolbox.data.Dataset(numpy.random.rand(10, 5)) rdms = rsatoolbox.rdm.calc_rdm(data) rsatoolbox.vis.show_rdm(rdms) `
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MD5 | b65e4c98d9c269af7a95f34f5a22e9f9 |
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