Metadata-Version: 2.1
Name: PyMVPA
Version: 3.0.4
Summary: Multivariate Pattern Analysis in Python
Home-page: https://github.com/MVPA-Solutions/PyMVPA
Author: PyMVPA Developers
Author-email: developers@pymvpa.org
Project-URL: Source, https://github.com/MVPA-Solutions/PyMVPA
Project-URL: Bug Reports, https://github.com/MVPA-Solutions/PyMVPA/issues
Project-URL: Original Project, https://github.com/PyMVPA/PyMVPA
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: COPYING
Requires-Dist: scipy
Requires-Dist: nibabel
Requires-Dist: h5py
Requires-Dist: joblib
Requires-Dist: scikit-learn

PyMVPA is a Python module for multivariate pattern analysis (MVPA) of fMRI datasets with a high-level interface that is easy to learn and use, building on numpy, scipy, matplotlib, nibabel, h5py, scikit-learn, joblib, and, optionally, other packages for neuroimaging, machine learning, and psychophysics.PyMVPA (Python MultiVariate Pattern Analysis) is used for multivariate pattern analysis of neuroimaging data.It supports data preparation, loading, and visualization,making it suitable for machine learning applications in neuroscience
