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
1 maintainer
Release files for nearby-python 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nearby_python-0.1.0.tar.gz | 17.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nearby_python-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 42.0 kB
Release files / nearby_python-0.1.0.tar.gz
| Download URL | nearby_python-0.1.0.tar.gz |
|---|---|
| Size | 17.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
|
Release files / nearby_python-0.1.0-py3-none-any.whl
| Download URL | nearby_python-0.1.0-py3-none-any.whl |
|---|---|
| Size | 24.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
|
