/** Test of setParameters method, of class MultivariatePolyaDistribution. */
public void testSetParameters() {
System.out.println("setParameters");
MultivariatePolyaDistribution instance = this.createInstance();
Vector p = instance.getParameters().scale(2.0);
instance.setParameters(p);
assertEquals(p, instance.getParameters());
p.setElement(0, 0.0);
try {
instance.setParameters(p);
fail("Parameters must be > 0.0");
} catch (Exception e) {
System.out.println("Good: " + e);
}
try {
instance.setParameters(null);
fail("Cannot have null parameters");
} catch (Exception e) {
System.out.println("Good: " + e);
}
try {
instance.setParameters(VectorFactory.getDefault().copyValues(1.0));
fail("Must have dimensionality >= 2");
} catch (Exception e) {
System.out.println("Good: " + e);
}
}
public static ArrayList<Vector> readDataAsVector(final String fileName, final int dimensionality)
throws IOException {
final ArrayList<Vector> result = new ArrayList<Vector>();
final BufferedReader in = new BufferedReader(new FileReader(fileName));
try {
String line;
while ((line = in.readLine()) != null) {
final String[] parts = line.split("\\s");
final int elements = Integer.parseInt(parts[0]);
final Vector v =
VectorFactory.getSparseDefault().createVectorCapacity(dimensionality, elements);
for (int i = 1; i < parts.length; i++) {
final String part = parts[i];
final int split = part.indexOf(':');
final int index = Integer.parseInt(part.substring(0, split));
final int value = Integer.parseInt(part.substring(split + 1));
v.setElement(index, value);
}
result.add(v);
}
} finally {
in.close();
}
return result;
}
public static Vector diag(Matrix mat) {
Vector ret;
if (mat.getNumColumns() > mat.getNumRows()) {
ret = mat.getRow(0);
} else {
ret = mat.getColumn(0);
}
int rowcol = ret.getDimensionality();
for (int rc = 0; rc < rowcol; rc++) {
ret.setElement(rc, mat.getElement(rc, rc));
}
return ret;
}
