This is package of tools to help with basic functions such as finding a good autoencoder. The package provides:
predict.kmeans a predict method for K means
reOrderDataFrameFactors re orders data frame factors according to frequeby
multiColSearch search a data frame for values
usableColumns finds columns in a df that are usable for Machine Learning
uniformNoiseAdd add noise to a matrix
findClusters finds the optimum number of clusters for a cluster model
getZiop takes a zipcode and returns 2014 demographics
codeMSDRG takes an msdrg and returns glos and other info
codeAPRDRG takes an aprdrg and returns mean los and other info
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