README.md

In cvazquezlos/NNEvol: A Simple Method to Obtain the Best Neural Network that Fixes a given Problem

NNEvol

The goal of NNEvol is to solve one of the open problems in Machine and Deep Learning that is about "which does the best neural network architecture that fixes a given problem is?". NNEvol uses Grammar-Guided Genetic Programming for solving it.

Installation

You can install the released version of NNEvol from CRAN with:

install.packages("NNEvol")

Not working actually...

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("cvazquezlos/NNEvol")

Introduction

This library just has an unique function: get_best_nn. It receives some parameters:

• data. Is the element that individuals (neural networks) use in the evolution process. The received dataset will be a Dataframe whose inputs are displayed before the outputs, in any order.
• input. Number of inputs.
• output. Number of outputs.
• train. Proportion of the instances within the dataset that are used in the training process (default 0.70).
• validation. Proportion of the instances within the dataset that are used in the validation process (default 0.20).
• test. Proportion of the instances within the dataset that are used in the test process (default 0.10). This data is only used when train_final_nn is selected. In addition, the three above values (including this) would add 1.
• train_mode. Mode of the training process. 0 means multi-class, while 1 means regression. Binary classification could be expressed as a multi-class with n = 2 classes (default 0).
• train_final_nn. If the user wants NNEvol to train the final individual totally. If checked, this options allows you to know which are the metrics of the best neural network selected (default FALSE).
• seed. Seed that is used in the random processes of the package (default 123).
• population_size. Size of the population that participates in the evolution process (default 30). The bigger the number is, the longer the library takes to find a solution.
• genetation_number. Number of generations within the evolution process (default 30). The bigger the number is, the longer the library takes to find a solution.

cvazquezlos/NNEvol documentation built on Nov. 4, 2019, 9:20 a.m.