nnogada

This is the nnogada documentation, a Python package for the hyperparameter tuning for feedforward neural networks implemented by keras or torch.

There are some options to install, or use, nnogada:

1. We recommend to install nnogada without clonning in the following way:

   pip3 install -e git+https://github.com/igomezv/Nnogada#egg=nnogada
   

2. On the other hand, you can visit the GitHub code repository, download the source code here or clone it as follows:

   git clone https://github.com/igomezv/Nnogada.git
   

Then, you can install it:

cd Nnogada

pip3 install -e .

3. You can use nnogada in Google Colab, please see the Section Using Google Colab in Requirements.
4. pip3 install nnogada sometimes fails.

Please read the introduction section where you can see the requirements and a simple quick start.

For nnogada citation, please go to the citation section.

Flow:

Output:

Extended index

• Requirements
• Examples
• Citation
• API

Changelog

• 0.9.0.0 (13/04/2023) First release.

TO DO

• Add classification for torch models.