Examples with Pair org.knime.core.util.Pair used on opensource projects

Example 41 with Pair

use of org.knime.core.util.Pair in project knime-core by knime.

the class TypeSelectionConfiguration method configure.

@Override
public List<Pair<String, PaneConfigurationDialog>> configure(final DataTableSpec spec) {
    List<Pair<String, PaneConfigurationDialog>> r = new ArrayList<Pair<String, PaneConfigurationDialog>>();
    for (DropPaneConfig dpc : m_panelList.values()) {
        String type = dpc.getSelection().get(0);
        DataType t = StringCell.TYPE;
        if (type.equals("IntCell")) {
            t = IntCell.TYPE;
        } else if (type.equals("DoubleCell")) {
            t = DoubleCell.TYPE;
        } else if (type.equals("LongCell")) {
            t = LongCell.TYPE;
        } else if (type.equals("DateAndTimeCell")) {
            t = DateAndTimeCell.TYPE;
        } else if (type.equals("XMLCell")) {
            t = XMLCell.TYPE;
        } else if (type.equals("PMMLCell")) {
            t = PMMLCell.TYPE;
        }
        for (DataColumnSpec dcs : spec) {
            if (dcs.getType().equals(t)) {
                r.add(new Pair<String, PaneConfigurationDialog>(dcs.getName(), dpc.getDialog()));
            }
        }
    }
    return r;
}

Example 42 with Pair

use of org.knime.core.util.Pair in project knime-core by knime.

the class AbstractGBTModelImporter method readTreeModel.

private Pair<TreeModelRegression, Map<TreeNodeSignature, Double>> readTreeModel(final Segment segment) {
    GBTRegressionContentParser contentParser = new GBTRegressionContentParser();
    TreeModelImporter<TreeNodeRegression, TreeModelRegression, TreeTargetNumericColumnMetaData> treeImporter = new TreeModelImporter<TreeNodeRegression, TreeModelRegression, TreeTargetNumericColumnMetaData>(m_metaDataMapper, m_conditionParser, m_signatureFactory, contentParser, m_treeFactory);
    TreeModel treeModel = segment.getTreeModel();
    TreeModelRegression tree = treeImporter.importFromPMML(treeModel);
    Map<TreeNodeSignature, Double> coefficientMap = contentParser.getCoefficientMap();
    return new Pair<>(tree, coefficientMap);
}

Example 43 with Pair

use of org.knime.core.util.Pair in project knime-core by knime.

the class AbstractGBTModelImporter method readSumSegmentation.

protected Pair<List<TreeModelRegression>, List<Map<TreeNodeSignature, Double>>> readSumSegmentation(final Segmentation segmentation) {
    List<Segment> segments = segmentation.getSegmentList();
    List<TreeModelRegression> trees = new ArrayList<>(segments.size());
    List<Map<TreeNodeSignature, Double>> coefficientMaps = new ArrayList<>(segments.size());
    for (Segment segment : segments) {
        Pair<TreeModelRegression, Map<TreeNodeSignature, Double>> treeCoeffientMapPair = readTreeModel(segment);
        trees.add(treeCoeffientMapPair.getFirst());
        coefficientMaps.add(treeCoeffientMapPair.getSecond());
    }
    return new Pair<>(trees, coefficientMaps);
}

Example 44 with Pair

use of org.knime.core.util.Pair in project knime-core by knime.

the class AppendVariableToTableNodeModel method getAllVariables.

private List<Pair<String, FlowVariable.Type>> getAllVariables() {
    Map<String, FlowVariable> currentVars = getAvailableFlowVariables();
    List<Pair<String, FlowVariable.Type>> variables;
    variables = new ArrayList<Pair<String, FlowVariable.Type>>();
    for (FlowVariable v : currentVars.values()) {
        variables.add(new Pair<String, FlowVariable.Type>(v.getName(), v.getType()));
    }
    return variables;
}

Example 45 with Pair

use of org.knime.core.util.Pair in project knime-core by knime.

the class VariableToTableNodeModel method getAllVariables.

private List<Pair<String, FlowVariable.Type>> getAllVariables() {
    Map<String, FlowVariable> currentVars = getAvailableFlowVariables();
    List<Pair<String, FlowVariable.Type>> variables;
    variables = new ArrayList<Pair<String, FlowVariable.Type>>();
    for (FlowVariable v : currentVars.values()) {
        variables.add(new Pair<String, FlowVariable.Type>(v.getName(), v.getType()));
    }
    return variables;
}