R/NULL.R

#' @title  modelToolKit
#' @name modelToolKit
#' @description This is package of tools to help with basic functions such as finding a good autoencoder. The package provides:
#'  \itemize{
#'    \item predict.kmeans a predict method for K means 
#'    \item reOrderDataFrameFactors re orders data frame factors according to frequeby
#'    \item multiColSearch search a data frame for values
#'    \item usableColumns finds columns in a df that are usable for Machine Learning
#'    \item uniformNoiseAdd  add noise to a matrix
#'    \item findClusters finds the optimum number of clusters for a cluster model
#'    \item getZiop takes a zipcode and returns 2014 demographics
#'    \item codeMSDRG takes an msdrg and returns glos and other info
#'    \item codeAPRDRG takes an aprdrg and returns  mean los and other info
#'   }
#' @docType package
NULL
mdavis29/modelToolKit documentation built on May 22, 2019, 3:22 p.m.