#' @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
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