Examples with DefaultDataArray org.knime.base.node.util.DefaultDataArray used on opensource projects

Example 16 with DefaultDataArray

use of org.knime.base.node.util.DefaultDataArray in project knime-core by knime.

the class DefaultVisualizationNodeModel method execute.

/**
 * Converts the input data at inport 0 into a
 * {@link org.knime.base.node.util.DataArray} with maximum number of rows as
 * defined in the {@link DefaultVisualizationNodeDialog}. Thereby nominal
 * columns are irgnored whose possible values are null or more than 60.
 *
 * {@inheritDoc}
 */
@Override
protected BufferedDataTable[] execute(final BufferedDataTable[] inData, final ExecutionContext exec) throws Exception {
    // generate list of excluded columns, suppressing warning
    findCompatibleColumns(inData[0].getDataTableSpec(), false);
    DataTable filter = new FilterColumnTable(inData[0], false, getExcludedColumns());
    m_input = new DefaultDataArray(filter, 1, m_maxRows.getIntValue(), exec);
    if (m_maxRows.getIntValue() < inData[0].size()) {
        setWarningMessage("Only the first " + m_maxRows.getIntValue() + " rows are displayed.");
    }
    return new BufferedDataTable[0];
}

Example 17 with DefaultDataArray

use of org.knime.base.node.util.DefaultDataArray in project knime-core by knime.

the class DefaultVisualizationNodeModel method loadInternals.

/**
 * Loads the converted {@link org.knime.base.node.util.DataArray}.
 *
 * {@inheritDoc}
 */
@Override
protected void loadInternals(final File nodeInternDir, final ExecutionMonitor exec) throws IOException, CanceledExecutionException {
    File f = new File(nodeInternDir, FILE_NAME);
    ContainerTable table = DataContainer.readFromZip(f);
    m_input = new DefaultDataArray(table, 1, m_maxRows.getIntValue(), exec);
}

Example 18 with DefaultDataArray

use of org.knime.base.node.util.DefaultDataArray in project knime-core by knime.

the class LiftChartNodeModel method loadInternals.

/**
 * {@inheritDoc}
 */
@Override
protected void loadInternals(final File nodeInternDir, final ExecutionMonitor exec) throws IOException, CanceledExecutionException {
    File dataFile1 = new File(nodeInternDir, DATA_FILE + "1");
    File dataFile2 = new File(nodeInternDir, DATA_FILE + "2");
    ContainerTable dataCont1 = DataContainer.readFromZip(dataFile1);
    ContainerTable dataCont2 = DataContainer.readFromZip(dataFile2);
    m_dataArray = new DataArray[2];
    m_dataArray[0] = new DefaultDataArray(dataCont1, 1, (int) dataCont1.size(), exec.createSubProgress(0.5));
    m_dataArray[1] = new DefaultDataArray(dataCont2, 1, (int) dataCont2.size(), exec.createSubProgress(0.5));
}

Example 19 with DefaultDataArray

use of org.knime.base.node.util.DefaultDataArray in project knime-core by knime.

the class LinReg2LearnerNodeModel method loadInternals.

/**
 * {@inheritDoc}
 */
@Override
protected void loadInternals(final File internDir, final ExecutionMonitor exec) throws IOException, CanceledExecutionException {
    File inFile = new File(internDir, FILE_SAVE);
    ModelContentRO c = ModelContent.loadFromXML(new BufferedInputStream(new GZIPInputStream(new FileInputStream(inFile))));
    try {
        ModelContentRO specContent = c.getModelContent(CFG_SPEC);
        DataTableSpec spec = DataTableSpec.load(specContent);
        ModelContentRO parContent = c.getModelContent(CFG_LinReg2_CONTENT);
        m_content = LinearRegressionContent.load(parContent, spec);
    } catch (InvalidSettingsException ise) {
        IOException ioe = new IOException("Unable to restore state: " + ise.getMessage());
        ioe.initCause(ise);
        throw ioe;
    }
    File dataFile = new File(internDir, FILE_DATA);
    ContainerTable t = DataContainer.readFromZip(dataFile);
    int rowCount = t.getRowCount();
    m_rowContainer = new DefaultDataArray(t, 1, rowCount, exec);
}

Example 20 with DefaultDataArray

use of org.knime.base.node.util.DefaultDataArray in project knime-core by knime.

the class MDSNodeModel method execute.

/**
 * {@inheritDoc}
 */
@Override
protected BufferedDataTable[] execute(final BufferedDataTable[] inData, final ExecutionContext exec) throws Exception {
    int rowsToUse = m_rowsModel.getIntValue();
    if (m_useRowsModel.getBooleanValue()) {
        rowsToUse = inData[0].getRowCount();
    }
    // Warn if number of rows is greater than chosen number of rows
    if (inData[0].getRowCount() > rowsToUse) {
        setWarningMessage("Maximal number of rows to report is less than number of rows in input data table !");
    }
    final DataTableSpec inSpec = inData[0].getSpec();
    final ColumnRearranger colFilter = new ColumnRearranger(inSpec);
    if (m_includeList != null) {
        colFilter.keepOnly(m_includeList.toArray(new String[m_includeList.size()]));
    }
    BufferedDataTable rowCutDataTable = exec.createColumnRearrangeTable(inData[0], colFilter, exec.createSilentSubProgress(0.0));
    // use only specified rows
    DataTable dataContainer = new DefaultDataArray(rowCutDataTable, 1, rowsToUse);
    // save BufferedDataTable with rows to use and ALL columns to generate
    // the output data table out of it.
    rowCutDataTable = exec.createBufferedDataTable(dataContainer, exec);
    // create MDS manager, init and train stuff
    m_manager = new MDSManager(m_outputDimModel.getIntValue(), m_distModel.getStringValue(), m_fuzzy, rowCutDataTable, exec);
    m_manager.init(m_seedModel.getIntValue());
    m_manager.train(m_epochsModel.getIntValue(), m_learnrateModel.getDoubleValue());
    // create BufferedDataTable out of mapped data.
    ColumnRearranger rearranger = createColumnRearranger(inSpec, new MDSCellFactory(m_manager.getDataPoints(), m_manager.getDimension()));
    return new BufferedDataTable[] { exec.createColumnRearrangeTable(inData[0], rearranger, exec.createSubProgress(0.1)) };
}