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/**
* @file yogi_test.cpp
* @author Marcus Edel
*
* ensmallen is free software; you may redistribute it and/or modify it under
* the terms of the 3-clause BSD license. You should have received a copy of
* the 3-clause BSD license along with ensmallen. If not, see
* http://www.opensource.org/licenses/BSD-3-Clause for more information.
*/
#if defined(ENS_USE_COOT)
#include <armadillo>
#include <bandicoot>
#endif
#include <ensmallen.hpp>
#include "catch.hpp"
#include "test_function_tools.hpp"
#include "test_types.hpp"
using namespace ens;
using namespace ens::test;
TEMPLATE_TEST_CASE("Yogi_SphereFunction", "[Yogi]", ENS_ALL_TEST_TYPES)
{
Yogi optimizer(1.0, 2, 0.7, 0.999, 1e-8, 500000, 1e-3, false);
FunctionTest<SphereFunction, TestType>(
optimizer,
10 * Tolerances<TestType>::LargeObj,
10 * Tolerances<TestType>::LargeCoord);
}
TEMPLATE_TEST_CASE("Yogi_McCormickFunction", "[Yogi]", ENS_ALL_TEST_TYPES)
{
Yogi optimizer(0.5, 1, 0.7, 0.999, 1e-8, 500000, 1e-5, false);
FunctionTest<McCormickFunction, TestType>(
optimizer,
Tolerances<TestType>::LargeObj,
Tolerances<TestType>::LargeCoord);
}
TEMPLATE_TEST_CASE("Yogi_LogisticRegressionFunction", "[Yogi]",
ENS_ALL_TEST_TYPES)
{
Yogi optimizer(0.032);
// For low-precision, we need to use a very small step size and some other
// tuning to keep from diverging.
size_t trials = 1;
if (sizeof(typename TestType::elem_type) < 4)
{
optimizer.StepSize() = 5e-4;
optimizer.BatchSize() = 16;
optimizer.Tolerance() = -1.0; // Force maximum number of iterations.
optimizer.MaxIterations() = 1000000;
trials = 5;
}
LogisticRegressionFunctionTest<TestType>(
optimizer,
Tolerances<TestType>::LRTrainAcc,
Tolerances<TestType>::LRTestAcc,
trials);
}
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