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Added the new MLPP implementation to the tests.

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Relintai 2023-02-05 01:10:15 +01:00
parent b2e99c2ef4
commit 0e48edfbaf
1 changed files with 15 additions and 0 deletions
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15
test/mlpp_tests.cpp
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@ -397,6 +397,21 @@ void MLPPTests::test_mlp(bool ui) {
model.gradientDescent(0.1, 10000, ui); model.gradientDescent(0.1, 10000, ui);
alg.printVector(model.modelSetTest(inputSet)); alg.printVector(model.modelSetTest(inputSet));
std::cout << "ACCURACY: " << 100 * model.score() << "%" << std::endl; std::cout << "ACCURACY: " << 100 * model.score() << "%" << std::endl;
Ref<MLPPMatrix> input_set;
input_set.instance();
input_set->set_from_std_vectors(inputSet);
Ref<MLPPVector> output_set;
output_set.instance();
output_set->set_from_std_vector(outputSet);
MLPPMLP model_new(input_set, output_set, 2);
model_new.gradient_descent(0.1, 10000, ui);
String res = model_new.model_set_test(input_set)->to_string();
res += "\nACCURACY: " + String::num(100 * model_new.score()) + "%";
PLOG_MSG(res);
} }
void MLPPTests::test_soft_max_network(bool ui) { void MLPPTests::test_soft_max_network(bool ui) {
MLPPLinAlg alg; MLPPLinAlg alg;