Sensitivity Analysis of Neural Networks

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.


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install.packages("NeuralSens")

0.0.7 by Jaime Pizarroso Gonzalo, 9 days ago


https://github.com/JaiPizGon/NeuralSens


Report a bug at https://github.com/JaiPizGon/NeuralSens/issues


Browse source code at https://github.com/cran/NeuralSens


Authors: José Portela González [aut] , Antonio Muñoz San Roque [aut] , Jaime Pizarroso Gonzalo [ctb, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ggplot2, gridExtra, NeuralNetTools, reshape2, caret, fastDummies, stringr, Hmisc

Suggests h2o, neural, RSNNS, nnet, neuralnet


See at CRAN