Examples with DataColumnDomainCreator org.knime.core.data.DataColumnDomainCreator used on opensource projects

Example 16 with DataColumnDomainCreator

use of org.knime.core.data.DataColumnDomainCreator in project knime-core by knime.

the class DefaultDataArray method setMaxValue.

/**
 * Sets a new max value for the specified column.
 *
 * @param colIdx the index of the column to set the new max value for
 * @param newMaxValue the new max value for the specified column. Must not
 *            be <code>null</code> and must fit the type of the column.
 */
public void setMaxValue(final int colIdx, final DataCell newMaxValue) {
    if (newMaxValue == null) {
        throw new IllegalArgumentException("The new maximum value must not be null");
    }
    if (!m_tSpec.getColumnSpec(colIdx).getType().isASuperTypeOf(newMaxValue.getType())) {
        throw new IllegalArgumentException("new maximum value is of wrong type");
    }
    DataColumnSpec[] colSpecs = new DataColumnSpec[m_tSpec.getNumColumns()];
    for (int i = 0; i < colSpecs.length; i++) {
        colSpecs[i] = m_tSpec.getColumnSpec(i);
    }
    DataColumnSpecCreator sCrea = new DataColumnSpecCreator(colSpecs[colIdx]);
    DataColumnDomainCreator dCrea = new DataColumnDomainCreator(colSpecs[colIdx].getDomain());
    dCrea.setUpperBound(newMaxValue);
    sCrea.setDomain(dCrea.createDomain());
    colSpecs[colIdx] = sCrea.createSpec();
    m_tSpec = new DataTableSpec(m_tSpec.getName(), colSpecs);
}

Example 17 with DataColumnDomainCreator

use of org.knime.core.data.DataColumnDomainCreator in project knime-core by knime.

the class DefaultDataArray method setMinValue.

/**
 * Sets a new min value for the specified column.
 *
 * @param colIdx the index of the column to set the new min value for. Must
 *            be between zero and the size of this container.
 * @param newMinValue the new min value for the specified column. Must not
 *            be <code>null</code> and must fit the type of the column.
 */
public void setMinValue(final int colIdx, final DataCell newMinValue) {
    if (newMinValue == null) {
        throw new IllegalArgumentException("The new minimum value must not be null");
    }
    if (!m_tSpec.getColumnSpec(colIdx).getType().isASuperTypeOf(newMinValue.getType())) {
        throw new IllegalArgumentException("new minimum value is of wrong type");
    }
    DataColumnSpec[] colSpecs = new DataColumnSpec[m_tSpec.getNumColumns()];
    for (int i = 0; i < colSpecs.length; i++) {
        colSpecs[i] = m_tSpec.getColumnSpec(i);
    }
    DataColumnSpecCreator sCrea = new DataColumnSpecCreator(colSpecs[colIdx]);
    DataColumnDomainCreator dCrea = new DataColumnDomainCreator(colSpecs[colIdx].getDomain());
    dCrea.setLowerBound(newMinValue);
    sCrea.setDomain(dCrea.createDomain());
    colSpecs[colIdx] = sCrea.createSpec();
    m_tSpec = new DataTableSpec(m_tSpec.getName(), colSpecs);
}

Example 18 with DataColumnDomainCreator

use of org.knime.core.data.DataColumnDomainCreator in project knime-core by knime.

the class SVMPredictor method getColumnSpecs.

/**
 * {@inheritDoc}
 */
@Override
public DataColumnSpec[] getColumnSpecs() {
    DataColumnSpecCreator colspeccreator = new DataColumnSpecCreator(m_predictionColumnName, StringCell.TYPE);
    if (m_appendProbabilities) {
        final DataColumnSpec[] ret = new DataColumnSpec[m_svms.length + 1];
        PredictorHelper ph = PredictorHelper.getInstance();
        final DataColumnSpecCreator creator = new DataColumnSpecCreator("Dummy", DoubleCell.TYPE);
        creator.setDomain(new DataColumnDomainCreator(new DoubleCell(0), new DoubleCell(1)).createDomain());
        for (int i = m_svms.length; i-- > 0; ) {
            String name = ph.probabilityColumnName(m_trainingColumn, m_svms[i].getPositive(), m_suffix);
            creator.setName(name);
            ret[i] = creator.createSpec();
        }
        ret[m_svms.length] = colspeccreator.createSpec();
        return ret;
    }
    return new DataColumnSpec[] { colspeccreator.createSpec() };
}

Example 19 with DataColumnDomainCreator

use of org.knime.core.data.DataColumnDomainCreator in project knime-core by knime.

the class PredictorHelper method createOutTableSpec.

/**
 * Computes the output table's specifaction based on common node settings.
 *
 * @param dataSpec The input table {@link DataColumnSpec}.
 * @param modelSpec The model {@link PMMLPortObjectSpec}.
 * @param addProbs Add the probability columns?
 * @param predictionCol Custom name of the prediction column.
 * @param shouldOverride Should we use that name?
 * @param suffix Suffix for probability columns.
 * @return The output table {@link DataTableSpec}.
 * @throws InvalidSettingsException Invalid settings for the prediction column name.
 */
public DataTableSpec createOutTableSpec(final PortObjectSpec dataSpec, final PortObjectSpec modelSpec, final boolean addProbs, final String predictionCol, final boolean shouldOverride, final String suffix) throws InvalidSettingsException {
    CheckUtils.checkSettingNotNull(predictionCol, "Prediction column name cannot be null");
    CheckUtils.checkSetting(!predictionCol.trim().isEmpty(), "Prediction column name cannot be empty");
    List<DataCell> predValues = null;
    if (addProbs) {
        predValues = getPredictionValues((PMMLPortObjectSpec) modelSpec);
        if (predValues == null) {
            // no out spec can be determined
            return null;
        }
    }
    int numCols = (predValues == null ? 0 : predValues.size()) + 1;
    DataTableSpec inSpec = (DataTableSpec) dataSpec;
    DataColumnSpec[] newCols = new DataColumnSpec[numCols];
    /* Set bar renderer and domain [0,1] as default for the double cells
         * containing the distribution */
    // DataColumnProperties propsRendering = new DataColumnProperties(
    // Collections.singletonMap(
    // DataValueRenderer.PROPERTY_PREFERRED_RENDERER,
    // DoubleBarRenderer.DESCRIPTION));
    DataColumnDomain domain = new DataColumnDomainCreator(new DoubleCell(0.0), new DoubleCell(1.0)).createDomain();
    String trainingColumnName = ((PMMLPortObjectSpec) modelSpec).getTargetFields().iterator().next();
    // add all distribution columns
    for (int i = 0; i < numCols - 1; i++) {
        assert predValues != null;
        DataColumnSpecCreator colSpecCreator = new DataColumnSpecCreator(probabilityColumnName(trainingColumnName, predValues.get(i).toString(), suffix), DoubleCell.TYPE);
        // colSpecCreator.setProperties(propsRendering);
        colSpecCreator.setDomain(domain);
        newCols[i] = colSpecCreator.createSpec();
    }
    // add the prediction column
    String predictionColumnName = computePredictionColumnName(predictionCol, shouldOverride, trainingColumnName);
    newCols[numCols - 1] = new DataColumnSpecCreator(predictionColumnName, StringCell.TYPE).createSpec();
    DataTableSpec newColSpec = new DataTableSpec(newCols);
    return new DataTableSpec(inSpec, newColSpec);
}

Example 20 with DataColumnDomainCreator

use of org.knime.core.data.DataColumnDomainCreator in project knime-core by knime.

the class OneMissingValueReplacementFunction method getDataTableSpec.

/**
 * {@inheritDoc}
 */
@Override
public DataTableSpec getDataTableSpec() {
    DataTableSpec spec = getFactory().getModelSpec();
    final int idx = spec.getNumColumns() - 5;
    final DataColumnSpec cspec = spec.getColumnSpec(idx);
    DataColumnSpecCreator cr = new DataColumnSpecCreator(cspec);
    TreeSet<DataCell> domValues = new TreeSet<DataCell>(cspec.getType().getComparator());
    domValues.addAll(m_bfs.keySet());
    if (cspec.getDomain().hasValues()) {
        domValues.addAll(cspec.getDomain().getValues());
    }
    cr.setDomain(new DataColumnDomainCreator(domValues).createDomain());
    ColumnRearranger colre = new ColumnRearranger(spec);
    colre.replace(new SingleCellFactory(cr.createSpec()) {

        @Override
        public DataCell getCell(final DataRow row) {
            return row.getCell(idx);
        }
    }, idx);
    return colre.createSpec();
}