Examples with GradientBoostingLearnerConfiguration org.knime.base.node.mine.treeensemble2.node.gradientboosting.learner.GradientBoostingLearnerConfiguration used on opensource projects

Example 1 with GradientBoostingLearnerConfiguration

use of org.knime.base.node.mine.treeensemble2.node.gradientboosting.learner.GradientBoostingLearnerConfiguration in project knime-core by knime.

the class GradientBoostingRegressionLearnerNodeModel method loadValidatedSettingsFrom.

/**
 * {@inheritDoc}
 */
@Override
protected void loadValidatedSettingsFrom(final NodeSettingsRO settings) throws InvalidSettingsException {
    GradientBoostingLearnerConfiguration config = new GradientBoostingLearnerConfiguration(true);
    config.loadInModel(settings);
    m_configuration = config;
}

Example 2 with GradientBoostingLearnerConfiguration

use of org.knime.base.node.mine.treeensemble2.node.gradientboosting.learner.GradientBoostingLearnerConfiguration in project knime-core by knime.

the class GradientBoostingClassificationLearnerNodeDialogPane method saveSettingsTo.

/**
 * {@inheritDoc}
 */
@Override
protected void saveSettingsTo(final NodeSettingsWO settings) throws InvalidSettingsException {
    GradientBoostingLearnerConfiguration cfg = new GradientBoostingLearnerConfiguration(false);
    m_optionsPanel.saveSettings(cfg);
    m_advancedOptionsPanel.saveSettings(cfg);
    cfg.save(settings);
}

Example 3 with GradientBoostingLearnerConfiguration

use of org.knime.base.node.mine.treeensemble2.node.gradientboosting.learner.GradientBoostingLearnerConfiguration in project knime-core by knime.

the class GradientBoostingClassificationLearnerNodeDialogPane method loadSettingsFrom.

/**
 * {@inheritDoc}
 */
@Override
protected void loadSettingsFrom(final NodeSettingsRO settings, final DataTableSpec[] specs) throws NotConfigurableException {
    final DataTableSpec inSpec = specs[0];
    GradientBoostingLearnerConfiguration cfg = new GradientBoostingLearnerConfiguration(false);
    cfg.loadInDialog(settings, inSpec);
    m_optionsPanel.loadSettingsFrom(inSpec, cfg);
    m_advancedOptionsPanel.loadSettings(cfg);
}

Example 4 with GradientBoostingLearnerConfiguration

use of org.knime.base.node.mine.treeensemble2.node.gradientboosting.learner.GradientBoostingLearnerConfiguration in project knime-core by knime.

the class GradientBoostingClassificationLearnerNodeModel method loadValidatedSettingsFrom.

/**
 * {@inheritDoc}
 */
@Override
protected void loadValidatedSettingsFrom(final NodeSettingsRO settings) throws InvalidSettingsException {
    GradientBoostingLearnerConfiguration config = new GradientBoostingLearnerConfiguration(false);
    config.loadInModel(settings);
    m_configuration = config;
}

Example 5 with GradientBoostingLearnerConfiguration

use of org.knime.base.node.mine.treeensemble2.node.gradientboosting.learner.GradientBoostingLearnerConfiguration in project knime-core by knime.

the class TreeLearnerRegression method learnSingleTree.

/**
 * {@inheritDoc}
 */
@Override
public TreeModelRegression learnSingleTree(final ExecutionMonitor exec, final RandomData rd) throws CanceledExecutionException {
    final TreeTargetNumericColumnData targetColumn = getTargetData();
    final TreeData data = getData();
    final RowSample rowSampling = getRowSampling();
    final TreeEnsembleLearnerConfiguration config = getConfig();
    final IDataIndexManager indexManager = getIndexManager();
    DataMemberships rootDataMemberships = new RootDataMemberships(rowSampling, data, indexManager);
    RegressionPriors targetPriors = targetColumn.getPriors(rootDataMemberships, config);
    BitSet forbiddenColumnSet = new BitSet(data.getNrAttributes());
    boolean isGradientBoosting = config instanceof GradientBoostingLearnerConfiguration;
    if (isGradientBoosting) {
        m_leafs = new ArrayList<TreeNodeRegression>();
    }
    final TreeNodeSignature rootSignature = TreeNodeSignature.ROOT_SIGNATURE;
    final ColumnSample rootColumnSample = getColSamplingStrategy().getColumnSampleForTreeNode(rootSignature);
    TreeNodeRegression rootNode = buildTreeNode(exec, 0, rootDataMemberships, rootColumnSample, getSignatureFactory().getRootSignature(), targetPriors, forbiddenColumnSet);
    assert forbiddenColumnSet.cardinality() == 0;
    rootNode.setTreeNodeCondition(TreeNodeTrueCondition.INSTANCE);
    if (isGradientBoosting) {
        return new TreeModelRegression(rootNode, m_leafs);
    }
    return new TreeModelRegression(rootNode);
}