Examples with PortObject org.knime.core.node.port.PortObject used on opensource projects

Example 6 with PortObject

use of org.knime.core.node.port.PortObject in project knime-core by knime.

the class FromDecisionTreeNodeModel method execute.

/**
 * {@inheritDoc}
 * @throws CanceledExecutionException Execution cancelled.
 * @throws InvalidSettingsException No or more than one RuleSet model is in the PMML input.
 */
@Override
protected PortObject[] execute(final PortObject[] inData, final ExecutionContext exec) throws CanceledExecutionException, InvalidSettingsException {
    PMMLPortObject decTreeModel = (PMMLPortObject) inData[0];
    PMMLDecisionTreeTranslator treeTranslator = new PMMLDecisionTreeTranslator();
    decTreeModel.initializeModelTranslator(treeTranslator);
    DecisionTree decisionTree = treeTranslator.getDecisionTree();
    decisionTree.getRootNode();
    PMMLPortObject ruleSetModel = new PMMLPortObject(decTreeModel.getSpec());
    PMMLDocument document = PMMLDocument.Factory.newInstance();
    PMML pmml = document.addNewPMML();
    PMMLPortObjectSpec.writeHeader(pmml);
    pmml.setVersion(PMMLPortObject.PMML_V4_2);
    new PMMLDataDictionaryTranslator().exportTo(document, decTreeModel.getSpec());
    RuleSetModel newRuleSetModel = pmml.addNewRuleSetModel();
    PMMLMiningSchemaTranslator.writeMiningSchema(decTreeModel.getSpec(), newRuleSetModel);
    newRuleSetModel.setFunctionName(MININGFUNCTION.CLASSIFICATION);
    newRuleSetModel.setAlgorithmName("RuleSet");
    RuleSet ruleSet = newRuleSetModel.addNewRuleSet();
    ruleSet.addNewRuleSelectionMethod().setCriterion(Criterion.FIRST_HIT);
    addRules(ruleSet, new ArrayList<DecisionTreeNode>(), decisionTree.getRootNode());
    // TODO: Return a BufferedDataTable for each output port
    PMMLPortObject pmmlPortObject = new PMMLPortObject(ruleSetModel.getSpec(), document);
    return new PortObject[] { pmmlPortObject, new RuleSetToTable(m_rulesToTable).execute(exec, pmmlPortObject) };
}

Example 7 with PortObject

use of org.knime.core.node.port.PortObject in project knime-core by knime.

the class PMMLRuleEditorNodeModel method execute.

/**
 * {@inheritDoc}
 */
@Override
protected PortObject[] execute(final PortObject[] inData, final ExecutionContext exec) throws Exception {
    final BufferedDataTable table = (BufferedDataTable) inData[0];
    RearrangerAndPMMLModel m = createRearrangerAndPMMLModel(table.getDataTableSpec());
    return new PortObject[] { exec.createColumnRearrangeTable(table, m.getRearranger(), exec), m.getPMMLPortObject() };
}

Example 8 with PortObject

use of org.knime.core.node.port.PortObject in project knime-core by knime.

the class DBGroupByNodeModel method execute.

/**
 * {@inheritDoc}
 */
@Override
protected final PortObject[] execute(final PortObject[] inData, final ExecutionContext exec) throws CanceledExecutionException, Exception {
    exec.setMessage("Retrieving metadata from database");
    DatabasePortObject dbObject = (DatabasePortObject) inData[0];
    DatabasePortObject outObject = new DatabasePortObject(createDbOutSpec(dbObject.getSpec(), false));
    return new PortObject[] { outObject };
}

Example 9 with PortObject

use of org.knime.core.node.port.PortObject in project knime-core by knime.

the class NaiveBayesPredictorNodeModel method execute.

/**
 * {@inheritDoc}
 */
@Override
protected PortObject[] execute(final PortObject[] inData, final ExecutionContext exec) throws Exception {
    LOGGER.debug("Entering execute(inData, exec) of class " + "NaiveBayesPredictorNodeModel.");
    // check input data
    assert (inData != null && inData.length == 2 && inData[DATA_IN_PORT] != null && inData[MODEL_IN_PORT] != null);
    final PortObject dataObject = inData[DATA_IN_PORT];
    if (!(dataObject instanceof BufferedDataTable)) {
        throw new IllegalArgumentException("Invalid input data");
    }
    final BufferedDataTable data = (BufferedDataTable) dataObject;
    final PortObject modelObject = inData[MODEL_IN_PORT];
    if (!(modelObject instanceof NaiveBayesPortObject)) {
        throw new IllegalArgumentException("Invalid input data");
    }
    final NaiveBayesModel model = ((NaiveBayesPortObject) modelObject).getModel();
    exec.setMessage("Classifying rows...");
    if (model == null) {
        throw new Exception("Node not properly configured. " + "No Naive Bayes Model available.");
    }
    final double laplaceCorrector = m_laplaceCorrector.getDoubleValue();
    final NaiveBayesCellFactory appender = new NaiveBayesCellFactory(model, data.getDataTableSpec(), m_inclProbVals.getBooleanValue(), laplaceCorrector);
    final ColumnRearranger rearranger = new ColumnRearranger(data.getDataTableSpec());
    rearranger.append(appender);
    final BufferedDataTable returnVal = exec.createColumnRearrangeTable(data, rearranger, exec);
    LOGGER.debug("Exiting execute(inData, exec) of class " + "NaiveBayesPredictorNodeModel.");
    return new PortObject[] { returnVal };
}

Example 10 with PortObject

use of org.knime.core.node.port.PortObject in project knime-core by knime.

the class RegressionPredictorNodeModel method execute.

/**
 * {@inheritDoc}
 */
@Override
public PortObject[] execute(final PortObject[] inData, final ExecutionContext exec) throws Exception {
    PMMLPortObject port = (PMMLPortObject) inData[0];
    List<Node> models = port.getPMMLValue().getModels(PMMLModelType.GeneralRegressionModel);
    if (models.isEmpty()) {
        LOGGER.warn("No regression models in the input PMML.");
        @SuppressWarnings("deprecation") org.knime.base.node.mine.regression.predict.RegressionPredictorNodeModel regrPredictor = new org.knime.base.node.mine.regression.predict.RegressionPredictorNodeModel();
        @SuppressWarnings("deprecation") PortObject[] regrPredOut = regrPredictor.execute(inData, exec);
        if (regrPredOut.length > 0 && regrPredOut[0] instanceof BufferedDataTable) {
            BufferedDataTable regrPredOutTable = (BufferedDataTable) regrPredOut[0];
            // replace name of prediction column (the last column of regrPredOutTable)
            return new PortObject[] { adjustSpecOfRegressionPredictorTable(regrPredOutTable, inData, exec) };
        } else {
            return regrPredOut;
        }
    }
    PMMLGeneralRegressionTranslator trans = new PMMLGeneralRegressionTranslator();
    port.initializeModelTranslator(trans);
    BufferedDataTable data = (BufferedDataTable) inData[1];
    DataTableSpec spec = data.getDataTableSpec();
    ColumnRearranger c = createRearranger(trans.getContent(), port.getSpec(), spec);
    BufferedDataTable out = exec.createColumnRearrangeTable(data, c, exec);
    return new BufferedDataTable[] { out };
}