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package liblinear;
import static liblinear.Linear.NL;
import static org.fest.assertions.Assertions.assertThat;
import java.io.BufferedWriter;
import java.io.File;
import java.io.FileWriter;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collection;
import org.junit.Before;
import org.junit.Test;
public class TrainTest {
private Train train;
@Before
public void setUp() {
train = new Train();
}
@Test
public void testParseCommandLine() {
Train train = new Train();
for (SolverType solver : SolverType.values()) {
train.parse_command_line(new String[] {"-B", "5.3", "-s", "" + solver.ordinal(), "model-filename"});
Parameter param = train.getParameter();
assertThat(param.solverType).isEqualTo(solver);
// check default eps
if (solver.ordinal() == 0 || solver.ordinal() == 2 //
|| solver.ordinal() == 5 || solver.ordinal() == 6) {
assertThat(param.eps).isEqualTo(0.01);
} else {
assertThat(param.eps).isEqualTo(0.1);
}
// check if bias is set
assertThat(train.getBias()).isEqualTo(5.3);
}
}
@Test
public void testReadProblem() throws Exception {
File file = tempFile();
Collection<String> lines = new ArrayList<String>();
lines.add("1 1:1 3:1 4:1 6:1");
lines.add("2 2:1 3:1 5:1 7:1");
lines.add("1 3:1 5:1");
lines.add("1 1:1 4:1 7:1");
lines.add("2 4:1 5:1 7:1");
writeLines(file, lines);
train.readProblem(file.getAbsolutePath());
Problem prob = train.getProblem();
assertThat(prob.bias).isEqualTo(1);
assertThat(prob.y).hasSize(lines.size());
assertThat(prob.y).isEqualTo(new int[] {1, 2, 1, 1, 2});
assertThat(prob.n).isEqualTo(8);
assertThat(prob.l).isEqualTo(prob.y.length);
assertThat(prob.x).hasSize(prob.y.length);
for (FeatureNode[] nodes : prob.x) {
assertThat(nodes.length).isLessThanOrEqualTo(prob.n);
for (FeatureNode node : nodes) {
// bias term
if (prob.bias >= 0 && nodes[nodes.length - 1] == node) {
assertThat(node.index).isEqualTo(prob.n);
assertThat(node.value).isEqualTo(prob.bias);
} else {
assertThat(node.index).isLessThan(prob.n);
}
}
}
}
/**
* unit-test for Issue #1 (http://github.com/bwaldvogel/liblinear-java/issues#issue/1)
*/
@Test
public void testReadProblemEmptyLine() throws Exception {
File file = File.createTempFile("svm", "test");
file.deleteOnExit();
Collection<String> lines = new ArrayList<String>();
lines.add("1 1:1 3:1 4:1 6:1");
lines.add("2 ");
BufferedWriter writer = new BufferedWriter(new FileWriter(file));
try {
for (String line : lines)
writer.append(line).append(NL);
}
finally {
writer.close();
}
Problem prob = Train.readProblem(file, -1.0);
assertThat(prob.bias).isEqualTo(-1);
assertThat(prob.y).hasSize(lines.size());
assertThat(prob.y).isEqualTo(new int[] {1, 2});
assertThat(prob.n).isEqualTo(6);
assertThat(prob.l).isEqualTo(prob.y.length);
assertThat(prob.x).hasSize(prob.y.length);
assertThat(prob.x[0]).hasSize(4);
assertThat(prob.x[1]).hasSize(0);
}
@Test(expected = InvalidInputDataException.class)
public void testReadUnsortedProblem() throws Exception {
File file = tempFile();
Collection<String> lines = new ArrayList<String>();
lines.add("1 1:1 3:1 4:1 6:1");
lines.add("2 2:1 3:1 5:1 7:1");
lines.add("1 3:1 5:1 4:1"); // here's the mistake: not correctly sorted
writeLines(file, lines);
train.readProblem(file.getAbsolutePath());
}
@Test
public void testReadProblemValidWeights() throws Exception {
File file = tempFile();
File weightsFile = tempFile();
Collection<String> lines = new ArrayList<String>();
lines.add("1 1:1 3:1 4:1 6:1");
lines.add("2 2:1 3:1 5:1 7:1");
lines.add("3 2:1 3:1 5:1 7:1");
writeLines(file, lines);
lines.clear();
lines.add("1");
lines.add(" 2.0 ");
lines.add("0.5");
writeLines(weightsFile, lines);
train.readProblem(file.getAbsolutePath(), weightsFile.getAbsolutePath());
}
@Test
public void testReadProblemInvalidWeights() throws Exception {
File file = tempFile();
File weightsFile = tempFile();
Collection<String> lines = new ArrayList<String>();
lines.add("1 1:1 3:1 4:1 6:1");
lines.add("2 2:1 3:1 5:1 7:1");
writeLines(file, lines);
lines.clear();
lines.add("1");
lines.add("-2");
writeLines(weightsFile, lines);
try {
train.readProblem(file.getAbsolutePath(), weightsFile.getAbsolutePath());
} catch (InvalidInputDataException e) {
assertThat(e.getMessage()).contains("invalid weight: -2");
}
}
@Test
public void testReadProblemNotEnoughWeights() throws Exception {
File file = tempFile();
File weightsFile = tempFile();
Collection<String> lines = new ArrayList<String>();
lines.add("1 1:1 3:1 4:1 6:1");
lines.add("2 2:1 3:1 5:1 7:1");
writeLines(file, lines);
lines.clear();
lines.add("1");
writeLines(weightsFile, lines);
try {
train.readProblem(file.getAbsolutePath(), weightsFile.getAbsolutePath());
} catch (InvalidInputDataException e) {
assertThat(e.getMessage()).contains("invalid number of weights");
}
}
@Test
public void testReadProblemTooManyWeights() throws Exception {
File file = tempFile();
File weightsFile = tempFile();
Collection<String> lines = new ArrayList<String>();
lines.add("1 1:1 3:1 4:1 6:1");
lines.add("2 2:1 3:1 5:1 7:1");
writeLines(file, lines);
lines.clear();
lines.add("1");
lines.add("1");
lines.add("1");
writeLines(weightsFile, lines);
try {
train.readProblem(file.getAbsolutePath(), weightsFile.getAbsolutePath());
} catch (InvalidInputDataException e) {
assertThat(e.getMessage()).contains("too many weights");
}
}
private File tempFile() throws IOException {
File file = File.createTempFile("svm", "test");
file.deleteOnExit();
return file;
}
private void writeLines(File file, Collection<String> lines) throws IOException {
BufferedWriter writer = new BufferedWriter(new FileWriter(file));
try {
for (String line : lines)
writer.append(line).append(NL);
}
finally {
writer.close();
}
}
@Test(expected = InvalidInputDataException.class)
public void testReadProblemWithInvalidIndex() throws Exception {
File file = tempFile();
Collection<String> lines = new ArrayList<String>();
lines.add("1 1:1 3:1 4:1 6:1");
lines.add("2 2:1 3:1 5:1 -4:1");
writeLines(file, lines);
try {
train.readProblem(file.getAbsolutePath());
} catch (InvalidInputDataException e) {
throw e;
}
}
@Test(expected = InvalidInputDataException.class)
public void testReadWrongProblem() throws Exception {
File file = tempFile();
Collection<String> lines = new ArrayList<String>();
lines.add("1 1:1 3:1 4:1 6:1");
lines.add("2 2:1 3:1 5:1 7:1");
lines.add("1 3:1 5:a"); // here's the mistake: incomplete line
writeLines(file, lines);
try {
train.readProblem(file.getAbsolutePath());
} catch (InvalidInputDataException e) {
throw e;
}
}
}