Metadata-Version: 2.1
Name: mne-features
Version: 0.2.1
Summary: MNE-Features software for extracting features from multivariate time series
Download-URL: https://github.com/mne-tools/mne-features.git
Maintainer: Jean-Baptiste Schiratti
Maintainer-email: jean.baptiste.schiratti@gmail.com
License: BSD (3-clause)
Platform: any
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
License-File: LICENSE

MNE-Features
=========================================

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This repository provides code for feature extraction with M/EEG data.
The documentation of the MNE-Features module is available at: `documentation <https://mne-tools.github.io/mne-features/index.html>`_.

Installation
------------

To install the package, the simplest way is to use pip to get the latest release::

  $ pip install mne-features

or to get the latest version of the code::

  $ pip install git+https://github.com/mne-tools/mne-features.git#egg=mne_features


Dependencies
------------

These are the dependencies to use MNE-Features:

* numpy (>=1.17)
* matplotlib (>=1.5)
* scipy (>=1.0)
* numba (>=0.46.0)
* llvmlite (>=0.30)
* scikit-learn (>=0.21)
* mne (>=0.18.2)
* PyWavelets (>=0.5.2)
* pandas (>=0.25)


Cite
----

If you use this code in your project, please cite::

    Jean-Baptiste SCHIRATTI, Jean-Eudes LE DOUGET, Michel LE VAN QUYEN, Slim ESSID, Alexandre GRAMFORT,
    "An ensemble learning approach to detect epileptic seizures from long intracranial EEG recordings"
    Proc. IEEE ICASSP Conf. 2018
