Examples with ColumnRearranger org.knime.core.data.container.ColumnRearranger used on opensource projects

Example 71 with ColumnRearranger

use of org.knime.core.data.container.ColumnRearranger in project knime-core by knime.

the class GradientBoostingClassificationPredictorNodeModel method createStreamableOperator.

/**
 * {@inheritDoc}
 */
@Override
public StreamableOperator createStreamableOperator(final PartitionInfo partitionInfo, final PortObjectSpec[] inSpecs) throws InvalidSettingsException {
    return new StreamableOperator() {

        @Override
        public void runFinal(final PortInput[] inputs, final PortOutput[] outputs, final ExecutionContext exec) throws Exception {
            GradientBoostingModelPortObject model = (GradientBoostingModelPortObject) ((PortObjectInput) inputs[0]).getPortObject();
            TreeEnsembleModelPortObjectSpec modelSpec = model.getSpec();
            DataTableSpec dataSpec = (DataTableSpec) inSpecs[1];
            final GradientBoostingPredictor<MultiClassGradientBoostedTreesModel> pred = new GradientBoostingPredictor<>((MultiClassGradientBoostedTreesModel) model.getEnsembleModel(), modelSpec, dataSpec, m_configuration);
            ColumnRearranger rearranger = pred.getPredictionRearranger();
            StreamableFunction func = rearranger.createStreamableFunction(1, 0);
            func.runFinal(inputs, outputs, exec);
        }
    };
}

Example 72 with ColumnRearranger

use of org.knime.core.data.container.ColumnRearranger in project knime-core by knime.

the class GradientBoostingClassificationPredictorNodeModel method execute.

/**
 * {@inheritDoc}
 */
@Override
protected PortObject[] execute(final PortObject[] inObjects, final ExecutionContext exec) throws Exception {
    GradientBoostingModelPortObject model = (GradientBoostingModelPortObject) inObjects[0];
    TreeEnsembleModelPortObjectSpec modelSpec = model.getSpec();
    BufferedDataTable data = (BufferedDataTable) inObjects[1];
    DataTableSpec dataSpec = data.getDataTableSpec();
    GradientBoostingPredictor<MultiClassGradientBoostedTreesModel> predictor = new GradientBoostingPredictor<>((MultiClassGradientBoostedTreesModel) model.getEnsembleModel(), modelSpec, dataSpec, m_configuration);
    ColumnRearranger rearranger = predictor.getPredictionRearranger();
    BufferedDataTable outTable = exec.createColumnRearrangeTable(data, rearranger, exec);
    return new BufferedDataTable[] { outTable };
}

Example 73 with ColumnRearranger

use of org.knime.core.data.container.ColumnRearranger in project knime-core by knime.

the class GradientBoostingPredictor method createPredictionRearranger.

/**
 * {@inheritDoc}
 */
@Override
protected ColumnRearranger createPredictionRearranger() throws InvalidSettingsException {
    TreeEnsembleModelPortObjectSpec modelSpec = getModelSpec();
    DataTableSpec dataSpec = getDataSpec();
    ColumnRearranger predictionRearranger;
    boolean hasPossibleValues = modelSpec.getTargetColumnPossibleValueMap() != null;
    if (modelSpec.getTargetColumn().getType().isCompatible(DoubleValue.class)) {
        predictionRearranger = new ColumnRearranger(dataSpec);
        @SuppressWarnings("unchecked") GradientBoostingPredictor<GradientBoostedTreesModel> pred = (GradientBoostingPredictor<GradientBoostedTreesModel>) this;
        predictionRearranger.append(GradientBoostingPredictorCellFactory.createFactory(pred));
    } else if (getConfiguration().isAppendClassConfidences() && !hasPossibleValues) {
        // can't add confidence columns (possible values unknown)
        predictionRearranger = null;
    } else {
        predictionRearranger = new ColumnRearranger(dataSpec);
        @SuppressWarnings("unchecked") GradientBoostingPredictor<MultiClassGradientBoostedTreesModel> pred = (GradientBoostingPredictor<MultiClassGradientBoostedTreesModel>) this;
        predictionRearranger.append(LKGradientBoostingPredictorCellFactory.createFactory(pred));
    }
    return predictionRearranger;
}

Example 74 with ColumnRearranger

use of org.knime.core.data.container.ColumnRearranger in project knime-core by knime.

the class GradientBoostingPMMLPredictorNodeModel method translateSpec.

private TreeEnsembleModelPortObjectSpec translateSpec(final PMMLPortObjectSpec pmmlSpec) {
    DataTableSpec pmmlDataSpec = pmmlSpec.getDataTableSpec();
    ColumnRearranger cr = new ColumnRearranger(pmmlDataSpec);
    List<DataColumnSpec> targets = pmmlSpec.getTargetCols();
    CheckUtils.checkArgument(!targets.isEmpty(), "The provided PMML does not declare a target field.");
    CheckUtils.checkArgument(targets.size() == 1, "The provided PMML declares multiple target. " + "This behavior is currently not supported.");
    cr.move(targets.get(0).getName(), pmmlDataSpec.getNumColumns());
    return new TreeEnsembleModelPortObjectSpec(cr.createSpec());
}

Example 75 with ColumnRearranger

use of org.knime.core.data.container.ColumnRearranger in project knime-core by knime.

the class GradientBoostingPMMLPredictorNodeModel method execute.

/**
 * {@inheritDoc}
 */
@Override
public PortObject[] execute(final PortObject[] inObjects, final ExecutionContext exec) throws Exception {
    PMMLPortObject pmmlPO = (PMMLPortObject) inObjects[0];
    GradientBoostingModelPortObject model = importModel(pmmlPO);
    BufferedDataTable data = (BufferedDataTable) inObjects[1];
    DataTableSpec dataSpec = data.getDataTableSpec();
    // only happens if configure was not called previously e.g. in the generic PMML predictor
    if (m_configuration == null) {
        m_configuration = TreeEnsemblePredictorConfiguration.createDefault(m_isRegression, translateSpec(pmmlPO.getSpec()).getTargetColumn().getName());
    }
    final GradientBoostingPredictor<?> pred = new GradientBoostingPredictor<>(model.getEnsembleModel(), model.getSpec(), dataSpec, m_configuration);
    ColumnRearranger rearranger = pred.getPredictionRearranger();
    BufferedDataTable outTable = exec.createColumnRearrangeTable(data, rearranger, exec);
    return new BufferedDataTable[] { outTable };
}