summary.citodnn {cito}R Documentation

Summarize Neural Network of class citodnn

Description

Performs a Feature Importance calculation based on Permutations

Usage

## S3 method for class 'citodnn'
summary(object, n_permute = 256, ...)

Arguments

object

a model of class citodnn created by dnn

n_permute

number of permutations performed, higher equals more accurate importance results

...

additional arguments

Details

Performs the feature importance calculation as suggested by Fisher, Rudin, and Dominici (2018). For each feature n permutation get done and original and permuted predictive mean squared error (e_{perm} & e_{orig}) get evaluated with FI_j= e_{perm}/e_{orig}. Based on Mean Squared Error.

Value

summary.glm returns an object of class "summary.citodnn", a list with components


[Package cito version 1.0.0 Index]