Java Code Examples for weka.core.DenseInstance#setDataset()
The following examples show how to use
weka.core.DenseInstance#setDataset() .
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Example 1
| Source File: MergeInfrequentNominalValues.java From tsml with GNU General Public License v3.0 | 6 votes |
|
/**
* Processes the given data.
*
* @param instances the data to process
* @return the modified data
* @throws Exception in case the processing goes wrong
*/
public Instances process(Instances instances) throws Exception {
// Generate the output and return it
Instances result = new Instances(getOutputFormat(), instances.numInstances());
for (int i = 0; i < instances.numInstances(); i++) {
Instance inst = instances.instance(i);
double[] newData = new double[instances.numAttributes()];
for (int j = 0; j < instances.numAttributes(); j++) {
if (m_AttToBeModified[j] && !inst.isMissing(j)) {
newData[j] = m_NewValues[j][(int)inst.value(j)];
} else {
newData[j] = inst.value(j);
}
}
DenseInstance instNew = new DenseInstance(1.0, newData);
instNew.setDataset(result);
// copy possible strings, relational values...
copyValues(instNew, false, inst.dataset(), getOutputFormat());
// Add instance to output
result.add(instNew);
}
return result;
}
Example 2
| Source File: DataSetUtilsTest.java From AILibs with GNU Affero General Public License v3.0 | 6 votes |
|
public void cifar10InstancesAttributesTest() {
ArrayList<Attribute> atts = new ArrayList<>();
for (int i = 0; i < 32 * 32 * 3 + 1; i++) {
atts.add(new Attribute("blub" + i));
}
Instances instances = new Instances("test", atts, 1);
DenseInstance inst = new DenseInstance(atts.size());
for (int i = 0; i < inst.numAttributes(); i++) {
inst.setValue(i, 1d);
}
inst.setDataset(instances);
instances.add(inst);
INDArray result = DataSetUtils.cifar10InstanceToMatrix(inst);
Assert.assertArrayEquals(new long[]{32, 32, 3}, result.shape());
}
Example 3
| Source File: WekaInstancesUtil.java From AILibs with GNU Affero General Public License v3.0 | 6 votes |
|
public static Instances datasetToWekaInstances(final ILabeledDataset<? extends ILabeledInstance> dataset) throws UnsupportedAttributeTypeException {
Instances wekaInstances = createDatasetFromSchema(dataset.getInstanceSchema());
int expectedAttributes = dataset.getInstanceSchema().getNumAttributes();
for (ILabeledInstance inst : dataset) {
if (inst.getNumAttributes() != expectedAttributes) {
throw new IllegalStateException("Dataset scheme defines a number of " + expectedAttributes + " attributes, but instance has " + inst.getNumAttributes() + ". Attributes in scheme: " + dataset.getInstanceSchema().getAttributeList().stream().map(a -> "\n\t" + a.getName() + " (" + a.toString() + ")").collect(Collectors.joining()) + ". Attributes in instance: " + Arrays.stream(inst.getAttributes()).map(a -> "\n\t" + a.toString()).collect(Collectors.joining()));
}
double[] point = inst.getPoint();
double[] pointWithLabel = Arrays.copyOf(point, point.length + 1);
DenseInstance iNew = new DenseInstance(1, pointWithLabel);
iNew.setDataset(wekaInstances);
if (dataset.getLabelAttribute() instanceof ICategoricalAttribute) {
iNew.setClassValue(((ICategoricalAttribute) dataset.getLabelAttribute()).getLabelOfCategory((int)inst.getLabel()));
} else {
iNew.setClassValue(Double.parseDouble(inst.getLabel().toString()));
}
wekaInstances.add(iNew); // this MUST come here AFTER having set the class value; otherwise, the class is not registered correctly in the Instances object!!
}
return wekaInstances;
}
Example 4
| Source File: MekaInstancesUtil.java From AILibs with GNU Affero General Public License v3.0 | 6 votes |
|
public static Instances datasetToWekaInstances(final ILabeledDataset<? extends ILabeledInstance> dataset) throws UnsupportedAttributeTypeException {
Instances wekaInstances = createDatasetFromSchema(dataset.getInstanceSchema());
for (ILabeledInstance inst : dataset) {
double[] point = inst.getPoint();
double[] pointWithLabel = Arrays.copyOf(point, point.length + 1);
DenseInstance iNew = new DenseInstance(1, pointWithLabel);
iNew.setDataset(wekaInstances);
if (dataset.getLabelAttribute() instanceof ICategoricalAttribute) {
iNew.setClassValue(((ICategoricalAttribute) dataset.getLabelAttribute()).getLabelOfCategory((int) inst.getLabel()));
} else {
iNew.setClassValue((Double) inst.getLabel());
}
wekaInstances.add(iNew); // this MUST come here AFTER having set the class value; otherwise, the class is not registered correctly in the Instances object!!
}
return wekaInstances;
}
Example 5
| Source File: DecisionTree.java From chuidiang-ejemplos with GNU Lesser General Public License v3.0 | 6 votes |
|
public static void main(String[] args) throws Exception {
Classifier j48 = new J48();
Instances trainingData = GenerateTestVessels.getData();
j48.buildClassifier(trainingData);
System.out.println(j48);
double[] vesselUnderTest = GenerateTestVessels.getBarco(5);
DenseInstance inst = new DenseInstance(1.0,vesselUnderTest);
inst.setDataset(trainingData);
inst.setClassMissing();
System.out.println(inst);
double result = j48.classifyInstance(inst);
System.out.println(GenerateTestVessels.types[(int)result]);
SerializationHelper.write(new FileOutputStream("tmp"), j48);
J48 j48Read = (J48)SerializationHelper.read(new FileInputStream("tmp"));
}
Example 6
| Source File: MergeNominalValues.java From tsml with GNU General Public License v3.0 | 5 votes |
|
/**
* Processes the given data.
*
* @param instances the data to process
* @return the modified data
* @throws Exception in case the processing goes wrong
*/
@Override
public Instances process(Instances instances) throws Exception {
// Generate the output and return it
Instances result = new Instances(getOutputFormat(),
instances.numInstances());
for (int i = 0; i < instances.numInstances(); i++) {
Instance inst = instances.instance(i);
double[] newData = new double[instances.numAttributes()];
for (int j = 0; j < instances.numAttributes(); j++) {
if (m_AttToBeModified[j] && !inst.isMissing(j)) {
newData[j] = m_Indicators[j][(int) inst.value(j)];
} else {
newData[j] = inst.value(j);
}
}
DenseInstance instNew = new DenseInstance(1.0, newData);
instNew.setDataset(result);
// copy possible strings, relational values...
copyValues(instNew, false, inst.dataset(), getOutputFormat());
// Add instance to output
result.add(instNew);
}
return result;
}
Example 7
| Source File: CSVLoader.java From tsml with GNU General Public License v3.0 | 4 votes |
|
protected Instance makeInstance() throws IOException {
if (m_current == null) {
return null;
}
double[] vals = new double[m_structure.numAttributes()];
for (int i = 0; i < m_structure.numAttributes(); i++) {
Object val = m_current.get(i);
if (val.toString().equals("?")) {
vals[i] = Utils.missingValue();
} else if (m_structure.attribute(i).isString()) {
vals[i] = 0;
m_structure.attribute(i).setStringValue(Utils.unquote(val.toString()));
} else if (m_structure.attribute(i).isDate()) {
String format = m_structure.attribute(i).getDateFormat();
SimpleDateFormat sdf = new SimpleDateFormat(format);
try {
vals[i] = sdf.parse(val.toString()).getTime();
} catch (ParseException e) {
throw new IOException("Unable to parse date value " + val.toString()
+ " using date format " + format + " for date attribute "
+ m_structure.attribute(i));
}
} else if (m_structure.attribute(i).isNumeric()) {
try {
Double v = Double.parseDouble(val.toString());
vals[i] = v.doubleValue();
} catch (NumberFormatException ex) {
throw new IOException("Was expecting a number for attribute "
+ m_structure.attribute(i).name() + " but read " + val.toString()
+ " instead.");
}
} else {
// nominal
double index = m_structure.attribute(i).indexOfValue(
Utils.unquote(val.toString()));
if (index < 0) {
throw new IOException("Read unknown nominal value " + val.toString()
+ "for attribute " + m_structure.attribute(i).name());
}
vals[i] = index;
}
}
DenseInstance inst = new DenseInstance(1.0, vals);
inst.setDataset(m_structure);
return inst;
}
