Variability Analysis for EEG/BCI
Project description
nearby
Installation
- Requirements
- Python >= 3.11
- numpy
- scipy
- pandas
- mne
- tslearn
- autograd
- pymanopt[autograd]
You can install all the dependencies with the following pip command.
pip install numpy scipy pandas mne tslearn autograd pymanopt[autograd]
Installation from source
git clone https://github.com/simonkojima/nearby.git
cd ./nearby
pip install .
Usage
Check out the documentation here.
docs generation
Requirements for docs generation
Install nearby and dependencies
In the nearby root directory
pip install -e .
pip install moabb filelock sphinx pydata-sphinx-theme sphinx-multiversion sphinx-gallery numpydoc tslearn autograd pymanopt[autograd]
- Run following in docs
sphinx-apidoc -f -o ../docs/source ../nearby && make html
- Run following in nearby root
sphinx-build -b html docs/source ~/git/nearby-docs/latest
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nearby_python-0.1.0.tar.gz
(17.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file nearby_python-0.1.0.tar.gz.
File metadata
- Download URL: nearby_python-0.1.0.tar.gz
- Upload date:
- Size: 17.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
03b68975ff1f0b310180ba3e0dd5691ce9944fed9a5acb8ac936bcc8686b67e2
|
|
| MD5 |
89c8d092c69ab23df3fd1ac01c3500f7
|
|
| BLAKE2b-256 |
300aac36a431612e2be19545dfece4cf23dd3dc75ae4a16a63aa603baeaba9a5
|
File details
Details for the file nearby_python-0.1.0-py3-none-any.whl.
File metadata
- Download URL: nearby_python-0.1.0-py3-none-any.whl
- Upload date:
- Size: 24.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1d893579e111766237e9d2ce43f4a2323b4cf9b21ec729044ad1ed26200ddfe8
|
|
| MD5 |
35f3ba3193d16eb03929077206b5a21f
|
|
| BLAKE2b-256 |
47924ff7da34f652414ccfc786e0f4a8d623cc5be25966a1c204c7c73170c123
|
