#
# 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.
#
cycletests = function (solver, verbose) {
modelFile = tempfile()
myModelFile = tempfile()
predictionsFile = tempfile()
myPredictionsFile = tempfile()
trainObj = trainSVM(
method = solver,
trainDataFile = "../data/australian.train",
cost = 1,
gamma = 1,
rank = 32,
k = 32,
budget = 32,
subsamplingRate = 0.9,
readModelFile = FALSE,
modelFile = modelFile,
verbose = verbose
)
testObj = testSVM(
method = solver,
testDataFile = "../data/australian.test",
modelFile = modelFile,
predictionsFile = predictionsFile ,
verbose = verbose
)
# train again this time by writing and reading the model file
myTrainObj = trainSVM(
method = solver,
trainDataFile = "../data/australian.train",
cost = 1,
gamma = 1,
rank = 32,
k = 32,
budget = 32,
subsamplingRate = 0.9,
readModelFile = TRUE,
verbose = verbose
)
myTestObj = testSVM(
method = solver,
testDataFile = "../data/australian.test",
model = myTrainObj$model,
predictionsFile = myPredictionsFile,
verbose = verbose
)
testthat::expect_null (trainObj$model)
#expect_equal (myTrainObj$model$modelType, solver)
testthat::expect_equal (myTrainObj$model$gamma, 1)
testthat::expect_equal (myTestObj$error, testObj$error)
}
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