Examples with FilterResult org.knime.core.node.util.filter.NameFilterConfiguration.FilterResult used on opensource projects

Example 1 with FilterResult

use of org.knime.core.node.util.filter.NameFilterConfiguration.FilterResult in project knime-core by knime.

the class RankCorrelationComputeNodeModel method configure.

/**
 * {@inheritDoc}
 */
@Override
protected PortObjectSpec[] configure(final PortObjectSpec[] inSpecs) throws InvalidSettingsException {
    DataTableSpec in = (DataTableSpec) inSpecs[0];
    final String[] includes;
    if (m_columnFilterModel == null) {
        m_columnFilterModel = createColumnFilterModel();
        // auto-configure, no previous configuration
        m_columnFilterModel.loadDefaults(in);
        includes = m_columnFilterModel.applyTo(in).getIncludes();
        setWarningMessage("Auto configuration: Using all suitable columns (in total " + includes.length + ")");
    } else {
        FilterResult applyTo = m_columnFilterModel.applyTo(in);
        includes = applyTo.getIncludes();
    }
    if (includes.length == 0) {
        throw new InvalidSettingsException("No columns selected");
    }
    return new PortObjectSpec[] { PMCCPortObjectAndSpec.createOutSpec(includes), new PMCCPortObjectAndSpec(includes), null };
}

Example 2 with FilterResult

use of org.knime.core.node.util.filter.NameFilterConfiguration.FilterResult in project knime-core by knime.

the class CronbachNodeModel method configure.

/**
 * {@inheritDoc}
 */
@Override
protected PortObjectSpec[] configure(final PortObjectSpec[] inSpecs) throws InvalidSettingsException {
    DataTableSpec in = (DataTableSpec) inSpecs[0];
    if (!in.containsCompatibleType(DoubleValue.class)) {
        throw new InvalidSettingsException("No double compatible columns in input");
    }
    final String[] includes;
    if (m_columnFilterModel == null) {
        m_columnFilterModel = createColumnFilterModel();
        // auto-configure, no previous configuration
        m_columnFilterModel.loadDefaults(in);
        includes = m_columnFilterModel.applyTo(in).getIncludes();
        setWarningMessage("Auto configuration: Using all suitable columns (in total " + includes.length + ")");
    } else {
        FilterResult applyTo = m_columnFilterModel.applyTo(in);
        includes = applyTo.getIncludes();
    }
    if (includes.length == 0) {
        throw new InvalidSettingsException("Please include at least two numerical columns!");
    }
    return new PortObjectSpec[] { getDataTableSpec() };
}

Example 3 with FilterResult

use of org.knime.core.node.util.filter.NameFilterConfiguration.FilterResult in project knime-core by knime.

the class OneWayANOVANodeModel method configure.

/**
 * {@inheritDoc}
 */
@Override
protected DataTableSpec[] configure(final DataTableSpec[] inSpecs) throws InvalidSettingsException {
    DataTableSpec spec = inSpecs[0];
    if (m_settings.getGroupingColumn() == null || !spec.containsName(m_settings.getGroupingColumn())) {
        throw new InvalidSettingsException("Please define a grouping column.");
    }
    FilterResult filterResult = m_settings.getTestColumns().applyTo(spec);
    if (filterResult.getIncludes().length == 0) {
        if (filterResult.getExcludes().length > 0) {
            throw new InvalidSettingsException("Please select at least " + "one test column.");
        } else {
            throw new InvalidSettingsException("There are no numeric columns " + "in the input table. At least one numeric column " + "is needed to perform the test.");
        }
    }
    if (m_settings.getConfidenceIntervalProb() > 0.99 || m_settings.getConfidenceIntervalProb() < 0.01) {
        throw new InvalidSettingsException("The property " + "\"Confidence Interval (in %)\" must be in the range " + "[1, 99].");
    }
    return new DataTableSpec[] { OneWayANOVAStatistics.getTableSpec(), LeveneTestStatistics.getTableSpec(), OneWayANOVAStatistics.getGroupStatisticsSpec() };
}

Example 4 with FilterResult

use of org.knime.core.node.util.filter.NameFilterConfiguration.FilterResult in project knime-core by knime.

the class OneSampleTTestNodeModel method configure.

/**
 * {@inheritDoc}
 */
@Override
protected DataTableSpec[] configure(final DataTableSpec[] inSpecs) throws InvalidSettingsException {
    DataTableSpec spec = inSpecs[0];
    FilterResult filterResult = m_settings.getTestColumns().applyTo(spec);
    if (filterResult.getIncludes().length == 0) {
        if (filterResult.getExcludes().length > 0) {
            throw new InvalidSettingsException("Please select at least " + "one test column.");
        } else {
            throw new InvalidSettingsException("There are no numeric columns " + "in the input table. At least one numeric column " + "is needed to perform the test.");
        }
    }
    if (m_settings.getConfidenceIntervalProb() > 0.99 || m_settings.getConfidenceIntervalProb() < 0.01) {
        throw new InvalidSettingsException("The property " + "\"Confidence Interval (in %)\" must be in the range " + "[1, 99].");
    }
    return new DataTableSpec[] { OneSampleTTestStatistics.getTableSpec(), OneSampleTTestStatistics.getDescStatsSpec() };
}

Example 5 with FilterResult

use of org.knime.core.node.util.filter.NameFilterConfiguration.FilterResult in project knime-core by knime.

the class OneSampleTTestNodeModel method execute.

/**
 * {@inheritDoc}
 */
@Override
protected BufferedDataTable[] execute(final BufferedDataTable[] inData, final ExecutionContext exec) throws Exception {
    DataTableSpec spec = inData[0].getSpec();
    FilterResult filter = m_settings.getTestColumns().applyTo(spec);
    OneSampleTTest test = new OneSampleTTest(filter.getIncludes(), m_settings.getTestValue(), m_settings.getConfidenceIntervalProb());
    OneSampleTTestStatistics[] result = test.execute(inData[0], exec);
    m_descStats = getDescriptiveStatisticsTable(result, exec);
    m_stats = getTestStatisticsTable(result, exec);
    return new BufferedDataTable[] { m_stats, m_descStats };
}