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# Copyright (C) 2012-2018 Mark Seligman
##
## This file is part of ArboristBridgeR.
##
## ArboristBridgeR is free software: you can redistribute it and/or modify it
## under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 2 of the License, or
## (at your option) any later version.
##
## ArboristBridgeR is distributed in the hope that it will be useful, but
## WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
## GNU General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with ArboristBridgeR. If not, see <http://www.gnu.org/licenses/>.
"Validate.default" <- function(preFormat, train, y, ctgCensus = "votes",
quantVec = NULL, quantiles = !is.null(quantVec),
nThread = 0, verbose = FALSE) {
if (is.null(preFormat$predFrame)) {
stop("Pre-formatted observations required for verification")
}
if (is.null(train$bag)) {
stop("Bag required for verification")
}
if (is.null(train$forest)) {
stop("Trained forest required for verification")
}
if (is.null(train$leaf)) {
stop("Leaf information required for verification")
}
if (nThread < 0)
stop("Thread count must be nonnegative")
ValidateDeep(preFormat$predFrame, train, y, ctgCensus, quantVec, quantiles, nThread, verbose)
}
ValidateDeep <- function(predFrame, objTrain, y, ctgCensus, quantVec, quantiles, nThread, verbose) {
if (is.factor(y)) {
if (ctgCensus == "votes") {
if (verbose)
print("Validation: census only");
validation <- tryCatch(.Call("ValidateVotes", predFrame, objTrain, y, nThread), error = function(e) { stop(e) })
}
else if (ctgCensus == "prob") {
if (verbose)
print("Validation: categorical probabilities");
validation <- tryCatch(.Call("ValidateProb", predFrame, objTrain, y, nThread), error = function(e) { stop(e) })
}
else {
stop(paste("Unrecognized ctgCensus type: ", ctgCensus))
}
}
else {
if (quantiles) {
if (verbose)
print("ValidatIon: quantiles");
if (is.null(quantVec)) {
quantVec <- DefaultQuantVec()
}
validation <- tryCatch(.Call("ValidateQuant", predFrame, objTrain, y, quantVec, nThread), error = function(e) { stop(e) })
}
else {
if (verbose)
print("Validation: ordinary regression");
validation <- tryCatch(.Call("ValidateReg", predFrame, objTrain, y, nThread), error = function(e) { stop(e) })
}
}
if (verbose)
print("Validation complete")
validation
}
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