AutoNeuro
AutoNeuro is an automated machine learning application built using python 3.7. It allows users to build production ready ML models with ease and efficiency.See the About us page for more information.
website: https://nabeelfahmi12.github.io/AutoNeuro-Documentation/
Installation
Dependencies
AutoNeuro requires:
- Python 3
- Numpy
- Pandas
- scikit-learn
User Installation
If you already have a working installation of numpy and Pandas, the easiest way to install autoNeuro is using Pip
pip install pneuro
The documentation includes more detailed installation instructions
Change log
See the change log for a history of notable changes to AutoNeuro.
Development
We welcome new contributors of all experience levels. The Development Guide has detaled information about contributing code, documentation, tests, and more. We have included some basic information in README.
Important links
- Official source code repo: https://github.com/viratsagar/Autoneuro
- Download releases:
- Issue Tracker:
Source code
You can check the latest sources with the command:
git clone https://github.com/nabeelfahmi12/AutoNeuro-Documentaion.git
Contributing
To learn more about making a contribution to scikit-learn, please see our Contributing guide
Testing
After installation, you can launch the test suite from outside the source directory (you will need to have pytest >= 5.0.1 installed):
pytest AutoNeuro
Submitting a Pull Request
Before opening a Pull Request, have a look at the full Contributing page to make sure your code complies with our guidelines: https://nabeelfahmi12.github.io/AutoNeuro-Documentation/Contributingtoautoneuro/Contributingtoautoneuro/
Help and Support
Documentation
- HTML documentation (stable release):
- HTML documentation (development version):
- FAQ:
Communication
- Mailing list:
- Twitter: https://twitter.com/Sudhans74624324
- Stack Overflow:
- Website: https://nabeelfahmi12.github.io/AutoNeuro-Documentation/
Citation
If you use autoneuro in a scientific publication, we would appreciate citations:
1 maintainer
Metadata
1 maintainer
Release files for pneuro 1.3.7.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pneuro-1.3.7.0.0.tar.gz | 1.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pneuro-1.3.7.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.1 MB
Release files / pneuro-1.3.7.0.0.tar.gz
| Download URL | pneuro-1.3.7.0.0.tar.gz |
|---|---|
| Size | 1.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / pneuro-1.3.7.0.0-py3-none-any.whl
| Download URL | pneuro-1.3.7.0.0-py3-none-any.whl |
|---|---|
| Size | 1.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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