#
# SVMBridge
#
# (C) 2015, by Aydin Demircioglu
#
# SVMBridge is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# SVMBridge 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 Lesser General Public License for more details.
#
# Please do not use this software to destroy or spy on people, environment or things.
# All negative use is prohibited.
#
predicttests = function (solver, trainDataX, trainDataY, testDataX, testDataY, verbose) {
trainObj = trainSVM(
method = solver,
trainDataX = trainDataX,
trainDataY = trainDataY,
cost = 1,
gamma = 1,
epsilon = 0.01,
rank = 32,
k = 32,
budget = 32,
readModelFile = TRUE,
verbose = verbose
)
testObj = predictSVM(
method = solver,
testDataX = testDataX,
model = trainObj$model,
verbose = verbose,
readPredictions = TRUE
)
# print (testObj$predictions)
# expect beginning and end of predictions to be -1, -1...1, -1 (works for linux right now, hopefully everywhere)
# LASVM predict function is BROKEN, will not wirte predictions!
if ((solver != "LASVM")) {
testthat::expect_equal (sign(testObj$predictions[1]), -1)
testthat::expect_equal (sign(testObj$predictions[2]), -1)
testthat::expect_equal (sign(testObj$predictions[49]), 1)
testthat::expect_equal (sign(testObj$predictions[50]), -1)
}
if (verbose == TRUE) {
print (testObj)
}
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.