org.dmg.pmml.tree.BranchNode Java Examples
The following examples show how to use
org.dmg.pmml.tree.BranchNode.
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Example #1
Source File: NodeResolverTest.java From jpmml-evaluator with GNU Affero General Public License v3.0 | 5 votes |
@Test public void resolve(){ Node leftChild = new LeafNode() .setId("1"); Node rightChild = new LeafNode() .setId("2"); Node root = new BranchNode(null, True.INSTANCE) .setId("0") .setDefaultChild(rightChild.getId()) .addNodes(leftChild, rightChild); TreeModel treeModel = new TreeModel(MiningFunction.REGRESSION, new MiningSchema(), null) .setNode(root); PMML pmml = new PMML(Version.PMML_4_3.getVersion(), new Header(), new DataDictionary()) .addModels(treeModel); NodeResolver resolver = new NodeResolver(); resolver.applyTo(pmml); assertEquals(rightChild.getId(), root.getDefaultChild()); treeModel.setMissingValueStrategy(TreeModel.MissingValueStrategy.DEFAULT_CHILD); resolver.applyTo(pmml); assertSame(rightChild, root.getDefaultChild()); }
Example #2
Source File: PredicateInternerTest.java From jpmml-evaluator with GNU Affero General Public License v3.0 | 5 votes |
static private void checkTree(Node leftChild, Node rightChild){ Node root = new BranchNode(null, True.INSTANCE) .addNodes(leftChild, rightChild); TreeModel treeModel = new TreeModel() .setNode(root); assertNotSame(leftChild.getPredicate(), rightChild.getPredicate()); PredicateInterner interner = new PredicateInterner(); interner.applyTo(treeModel); assertSame(leftChild.getPredicate(), rightChild.getPredicate()); }
Example #3
Source File: GolfingTreeModelExample.java From jpmml-model with BSD 3-Clause "New" or "Revised" License | 4 votes |
@Override public PMML produce(){ FieldName temperature = FieldName.create("temperature"); FieldName humidity = FieldName.create("humidity"); FieldName windy = FieldName.create("windy"); FieldName outlook = FieldName.create("outlook"); FieldName whatIdo = FieldName.create("whatIDo"); Header header = new Header() .setCopyright("www.dmg.org") .setDescription("A very small binary tree model to show structure."); DataDictionary dataDictionary = new DataDictionary() .addDataFields( new DataField(temperature, OpType.CONTINUOUS, DataType.DOUBLE), new DataField(humidity, OpType.CONTINUOUS, DataType.DOUBLE), new DataField(windy, OpType.CATEGORICAL, DataType.STRING) .addValues(createValues("true", "false")), new DataField(outlook, OpType.CATEGORICAL, DataType.STRING) .addValues(createValues("sunny", "overcast", "rain")), new DataField(whatIdo, OpType.CATEGORICAL, DataType.STRING) .addValues(createValues("will play", "may play", "no play")) ); dataDictionary.setNumberOfFields((dataDictionary.getDataFields()).size()); MiningSchema miningSchema = new MiningSchema() .addMiningFields( new MiningField(temperature), new MiningField(humidity), new MiningField(windy), new MiningField(outlook), new MiningField(whatIdo) .setUsageType(MiningField.UsageType.TARGET) ); Node root = new BranchNode("will play", True.INSTANCE); // Upper half of the tree root.addNodes( new BranchNode("will play", new SimplePredicate(outlook, Operator.EQUAL, "sunny")) .addNodes( new BranchNode("will play", createCompoundPredicate(BooleanOperator.AND, new SimplePredicate(temperature, Operator.LESS_THAN, "90"), new SimplePredicate(temperature, Operator.GREATER_THAN, "50")) ) .addNodes( new LeafNode("will play", new SimplePredicate(humidity, Operator.LESS_THAN, "80")), new LeafNode("no play", new SimplePredicate(humidity, Operator.GREATER_OR_EQUAL, "80")) ), new LeafNode("no play", createCompoundPredicate(BooleanOperator.OR, new SimplePredicate(temperature, Operator.GREATER_OR_EQUAL, "90"), new SimplePredicate(temperature, Operator.LESS_OR_EQUAL, "50")) ) ) ); // Lower half of the tree root.addNodes( new BranchNode("may play", createCompoundPredicate(BooleanOperator.OR, new SimplePredicate(outlook, Operator.EQUAL, "overcast"), new SimplePredicate(outlook, Operator.EQUAL, "rain")) ) .addNodes( new LeafNode("may play", createCompoundPredicate(BooleanOperator.AND, new SimplePredicate(temperature, Operator.GREATER_THAN, "60"), new SimplePredicate(temperature, Operator.LESS_THAN, "100"), new SimplePredicate(outlook, Operator.EQUAL, "overcast"), new SimplePredicate(humidity, Operator.LESS_THAN, "70"), new SimplePredicate(windy, Operator.EQUAL, "false")) ), new LeafNode("no play", createCompoundPredicate(BooleanOperator.AND, new SimplePredicate(outlook, Operator.EQUAL, "rain"), new SimplePredicate(humidity, Operator.LESS_THAN, "70")) ) ) ); TreeModel treeModel = new TreeModel(MiningFunction.CLASSIFICATION, miningSchema, root) .setModelName("golfing"); PMML pmml = new PMML(Version.PMML_4_4.getVersion(), header, dataDictionary) .addModels(treeModel); return pmml; }
Example #4
Source File: HasNodeRegistryTest.java From jpmml-evaluator with GNU Affero General Public License v3.0 | 4 votes |
@Test public void getPath(){ Node node1a = new BranchNode(); Node node2a = new BranchNode(); Node node2b = new BranchNode(); node1a.addNodes(node2a, node2b); Node node3a = new BranchNode(); Node node3b = new BranchNode(); node2a.addNodes(node3a, node3b); Node node3c = new LeafNode(); Node node3d = new LeafNode(); node2b.addNodes(node3c, node3d); PMML pmml = new PMML(Version.PMML_4_3.getVersion(), new Header(), new DataDictionary()) .addModels(new TreeModel(MiningFunction.REGRESSION, new MiningSchema(), node1a)); HasNodeRegistry hasNodeRegistry = new TreeModelEvaluator(pmml); BiMap<Node, String> nodeRegistry = (hasNodeRegistry.getEntityRegistry()).inverse(); String id1a = nodeRegistry.get(node1a); String id2a = nodeRegistry.get(node2a); String id2b = nodeRegistry.get(node2b); String id3a = nodeRegistry.get(node3a); String id3b = nodeRegistry.get(node3b); String id3c = nodeRegistry.get(node3c); String id3d = nodeRegistry.get(node3d); assertEquals(Arrays.asList(node1a), hasNodeRegistry.getPath(id1a)); assertEquals(Arrays.asList(node1a, node2a), hasNodeRegistry.getPath(id2a)); assertEquals(Arrays.asList(node1a, node2a, node3a), hasNodeRegistry.getPath(id3a)); assertEquals(Arrays.asList(node1a), hasNodeRegistry.getPathBetween(id1a, id1a)); assertEquals(Arrays.asList(node1a, node2a), hasNodeRegistry.getPathBetween(id1a, id2a)); assertNull(hasNodeRegistry.getPathBetween(id2a, id1a)); assertEquals(Arrays.asList(node2a, node3a), hasNodeRegistry.getPathBetween(id2a, id3a)); assertEquals(Arrays.asList(node2a, node3b), hasNodeRegistry.getPathBetween(id2a, id3b)); assertNull(hasNodeRegistry.getPathBetween(id2a, id2b)); assertNull(hasNodeRegistry.getPathBetween(id2a, id3c)); assertNull(hasNodeRegistry.getPathBetween(id2a, id3d)); }
Example #5
Source File: TreePathFinderTest.java From jpmml-model with BSD 3-Clause "New" or "Revised" License | 3 votes |
@Test public void find(){ Node node1a = new BranchNode(); Node node2a = new LeafNode(); Node node2b = new BranchNode(); Node node2c = new BranchNode(); node1a.addNodes(node2a, node2b, node2c); Node node3a = new BranchNode(); Node node3b = new LeafNode(); node2b.addNodes(node3a); node2c.addNodes(node3b); Node node4a = new LeafNode(); node3a.addNodes(node4a); TreeModel treeModel = new TreeModel(MiningFunction.CLASSIFICATION, new MiningSchema(), node1a); TreePathFinder finder = new TreePathFinder(); finder.applyTo(treeModel); Map<Node, List<Node>> paths = finder.getPaths(); assertEquals(3, paths.size()); assertEquals(Arrays.asList(node1a, node2a), paths.get(node2a)); assertEquals(Arrays.asList(node1a, node2b, node3a, node4a), paths.get(node4a)); assertEquals(Arrays.asList(node1a, node2c, node3b), paths.get(node3b)); }
Example #6
Source File: ArrayListTransformerTest.java From jpmml-model with BSD 3-Clause "New" or "Revised" License | 3 votes |
@Test public void transform(){ Node node1a = new BranchNode(); Node node2a = new BranchNode(); Node node2b = new LeafNode(); node1a.addNodes(node2a, node2b); Array array = new ComplexArray() .setType(Array.Type.INT) .setValue(Arrays.asList(-1, 1)); Predicate predicate = new SimpleSetPredicate(FieldName.create("x"), SimpleSetPredicate.BooleanOperator.IS_IN, array); Node node3a = new LeafNode(null, predicate); node2a.addNodes(node3a); assertTrue(node1a.getNodes() instanceof ArrayList); assertTrue(node2a.getNodes() instanceof ArrayList); Object value = array.getValue(); assertTrue(value instanceof ArrayList); assertTrue(value instanceof ComplexValue); TreeModel treeModel = new TreeModel(MiningFunction.CLASSIFICATION, new MiningSchema(), node1a); ArrayListTransformer transformer = new ArrayListTransformer(); transformer.applyTo(treeModel); assertTrue(node1a.getNodes() instanceof DoubletonList); assertTrue(node2a.getNodes() instanceof SingletonList); value = array.getValue(); assertTrue(value instanceof ArrayList); assertTrue(value instanceof ComplexValue); }
Example #7
Source File: ValueParserTest.java From jpmml-evaluator with GNU Affero General Public License v3.0 | 2 votes |
@Test public void parseTreeModel(){ DataField dataField = new DataField(FieldName.create("x1"), OpType.CATEGORICAL, DataType.STRING); DataDictionary dataDictionary = new DataDictionary() .addDataFields(dataField); NormDiscrete normDiscrete = new NormDiscrete(dataField.getName(), "1"); DerivedField derivedField = new DerivedField(FieldName.create("global(" + dataField.getName() + ")"), OpType.CATEGORICAL, DataType.STRING, normDiscrete); TransformationDictionary transformationDictionary = new TransformationDictionary() .addDerivedFields(derivedField); SimplePredicate simplePredicate = new SimplePredicate(derivedField.getName(), SimplePredicate.Operator.EQUAL, "1"); Node child = new LeafNode("1", simplePredicate); SimpleSetPredicate simpleSetPredicate = new SimpleSetPredicate(dataField.getName(), SimpleSetPredicate.BooleanOperator.IS_IN, new Array(Array.Type.STRING, "0 1")); Node root = new BranchNode("0", simpleSetPredicate) .addNodes(child); MiningField miningField = new MiningField(dataField.getName()); MiningSchema miningSchema = new MiningSchema() .addMiningFields(miningField); TreeModel treeModel = new TreeModel(MiningFunction.REGRESSION, miningSchema, null) .setNode(root); PMML pmml = new PMML(Version.PMML_4_3.getVersion(), new Header(), dataDictionary) .setTransformationDictionary(transformationDictionary) .addModels(treeModel); List<DataField> dataFields = dataDictionary.getDataFields(); ValueParser parser = new ValueParser(ValueParser.Mode.STRICT); parser.applyTo(pmml); dataField = dataFields.get(0); assertEquals("1", normDiscrete.getValue()); assertEquals("1", simplePredicate.getValue()); Array array = simpleSetPredicate.getArray(); assertEquals(ImmutableSet.of("0", "1"), array.getValue()); dataField.setDataType(DataType.INTEGER); parser.applyTo(pmml); dataField = dataFields.get(0); assertEquals(1, normDiscrete.getValue()); assertEquals("1", simplePredicate.getValue()); array = simpleSetPredicate.getArray(); assertTrue(array instanceof RichComplexArray); assertEquals(ImmutableSet.of(0, 1), array.getValue()); dataField.setDataType(DataType.DOUBLE); derivedField.setDataType(DataType.INTEGER); parser.applyTo(pmml); dataField = dataFields.get(0); assertEquals(1.0d, normDiscrete.getValue()); assertEquals(1, simplePredicate.getValue()); array = simpleSetPredicate.getArray(); assertEquals(ImmutableSet.of(0.0d, 1.0d), array.getValue()); dataField.setDataType(DataType.BOOLEAN); derivedField.setDataType(DataType.DOUBLE); parser.applyTo(pmml); dataField = dataFields.get(0); assertEquals(true, normDiscrete.getValue()); assertEquals(1.0d, simplePredicate.getValue()); array = simpleSetPredicate.getArray(); assertEquals(ImmutableSet.of(false, true), array.getValue()); derivedField.setDataType(DataType.BOOLEAN); parser.applyTo(pmml); dataField = dataFields.get(0); assertEquals(true, normDiscrete.getValue()); assertEquals(true, simplePredicate.getValue()); }
Example #8
Source File: NodeScoreParserTest.java From jpmml-evaluator with GNU Affero General Public License v3.0 | 2 votes |
@Test public void parseAndIntern(){ Node node1a = new BranchNode("1", True.INSTANCE); Node node2a = new LeafNode("2", False.INSTANCE); Node node2b = new BranchNode("2.0", False.INSTANCE); Node node2c = new LeafNode(2.0f, True.INSTANCE); node1a.addNodes(node2a, node2b, node2c); Node node3a = new LeafNode("error", False.INSTANCE); node2b.addNodes(node3a); TreeModel treeModel = new TreeModel(MiningFunction.CLASSIFICATION, new MiningSchema(), node1a) .setMathContext(MathContext.FLOAT); VisitorBattery visitorBattery = new VisitorBattery(); visitorBattery.add(NodeScoreParser.class); visitorBattery.add(FloatInterner.class); visitorBattery.applyTo(treeModel); assertEquals("1", node1a.getScore()); assertEquals("2", node2a.getScore()); assertEquals("2.0", node2b.getScore()); assertEquals(2.0f, node2c.getScore()); assertEquals("error", node3a.getScore()); treeModel.setMiningFunction(MiningFunction.REGRESSION); visitorBattery.applyTo(treeModel); assertEquals(1.0f, node1a.getScore()); assertEquals(2.0f, node2a.getScore()); assertEquals(2.0f, node2b.getScore()); assertEquals(2.0f, node2c.getScore()); assertSame(node2a.getScore(), node2b.getScore()); assertSame(node2a.getScore(), node2c.getScore()); assertEquals("error", node3a.getScore()); }