assign_scores_and_categories-methods: Assign Scores and Confidence Categories

In cdeterman/HGTools: HG Tools

Description

Wrapper to quickly report the confidence categories and scaled scores for each sample from a neural net model. This assigns scores based on the raw quantile level.

Usage

assign_scores_and_categories(object, raw_x, ...)

Arguments

object	An 'nn_model' object
raw_x	The raw data initially submitted to neuralnet
breaks	Optional parameter to alter default quantile breaks
cutoffs	Optional parameter to alter default category breaks
allowParallel	Optional parameter to allow parallel processing

Value

A 'model_scores' object which contains:

Matrix containing the four original category columns, raw activation values, calculated scores, and confidence categories

See Also

assign_payor_scores_and_categories

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