activation_scores_table-methods: Activation Scores Matrix

Description Usage Arguments Value

Description

This function is designed to return a matrix containing the activation levels and associated scores (i.e. p-values) for a trained model.

Usage

1
activation_scores_table(object, raw_x, ...)

Arguments

object

An "nn_model" object returned from compute

raw_x

The raw data initially submitted to neuralnet

d_var

A character vector of the dependent variable column name(s).

step

A fraction denoting the steps for the quantiles (e.g. 0.01 = 100 steps)

breaks

Optional parameter to alter default quantile breaks

allowParallel

Optional parameter to allow parallel processing

Value

A matrix containing the activation levels from the "nn_model" and the calculated scores (i.e. p-values).


cdeterman/HGTools documentation built on May 13, 2019, 2:34 p.m.