package tv.floe.metronome.classification.neuralnetworks.iterativereduce.iris;
import static org.junit.Assert.*;
import org.junit.Test;
import tv.floe.metronome.classification.neuralnetworks.iterativereduce.MasterNode;
import tv.floe.metronome.classification.neuralnetworks.iterativereduce.WorkerNode;
import tv.floe.metronome.classification.neuralnetworks.iterativereduce.xor.TestTwoWorkersXOR_IR_NN;
import tv.floe.metronome.classification.neuralnetworks.utils.Utils;
import tv.floe.metronome.irunit.IRUnitDriver;
public class Test_IrisDataset_IR_NN {
@Test
public void testLearnIrisFunctionViaIRNN_MLP() throws Exception {
IRUnitDriver polr_ir = new IRUnitDriver("src/test/resources/run_profiles/unit_tests/nn/iris/app.unit_test.nn.iris.properties");
polr_ir.Setup();
polr_ir.SimulateRun();
}
}