NeuralSens-package

NeuralSens

Visualization and analysis tools to aid in the interpretation of
neural network models.

Analysis functions to quantify inputs importance in neural network models.
Functions are available for calculating and plotting the inputs importance and obtaining
the activation function of each neuron layer and its derivatives. The importance of a given
input is defined as the distribution of the derivatives of the output with respect to that
input in each training data point <doi:10.18637/jss.v102.i07>.

Jaime Pizarroso Gonzalo

Sensitivity Analysis of Neural Networks

José Portela González

Antonio Muñoz San Roque

NeuralSens function

Maintainer: Jaime Pizarroso Gonzalo <a href="/link/jpizarroso%40comillas.edu?package=NeuralSens&version=1.1.3" data-mini-rdoc="NeuralSens::jpizarroso@comillas.edu">jpizarroso@comillas.edu</a> [contributor]
Authors:<ul>
<li>José Portela González <a href="/link/Jose.Portela%40iit.comillas.edu?package=NeuralSens&version=1.1.3" data-mini-rdoc="NeuralSens::Jose.Portela@iit.comillas.edu">Jose.Portela@iit.comillas.edu</a></li>
<li>Antonio Muñoz San Roque <a href="/link/antonio.munoz%40iit.comillas.edu?package=NeuralSens&version=1.1.3" data-mini-rdoc="NeuralSens::antonio.munoz@iit.comillas.edu">antonio.munoz@iit.comillas.edu</a></li>
</ul>

Author

NeuralSens: Sensitivity Analysis of Neural Networks — NeuralSens

Maintainer: Jaime Pizarroso Gonzalo <a href='mailto:jpizarroso@comillas.edu'>jpizarroso@comillas.edu</a> [contributor]
Authors:<ul>
<li>José Portela González <a href='mailto:Jose.Portela@iit.comillas.edu'>Jose.Portela@iit.comillas.edu</a></li>
<li>Antonio Muñoz San Roque <a href='mailto:antonio.munoz@iit.comillas.edu'>antonio.munoz@iit.comillas.edu</a></li>
</ul>

NeuralSens: NeuralSens: Sensitivity Analysis of Neural Networks

Description

Arguments

Author

See Also