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Example 1 with AbstractGradientBoostingLearner

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

the class GradientBoostingClassificationLearnerNodeModel method execute.

/**
 * {@inheritDoc}
 */
@Override
protected PortObject[] execute(final PortObject[] inData, final ExecutionContext exec) throws Exception {
    BufferedDataTable t = (BufferedDataTable) inData[0];
    DataTableSpec spec = t.getDataTableSpec();
    final FilterLearnColumnRearranger learnRearranger = m_configuration.filterLearnColumns(spec);
    String warn = learnRearranger.getWarning();
    BufferedDataTable learnTable = exec.createColumnRearrangeTable(t, learnRearranger, exec.createSubProgress(0.0));
    DataTableSpec learnSpec = learnTable.getDataTableSpec();
    TreeEnsembleModelPortObjectSpec ensembleSpec = m_configuration.createPortObjectSpec(learnSpec);
    ExecutionMonitor readInExec = exec.createSubProgress(0.1);
    ExecutionMonitor learnExec = exec.createSubProgress(0.8);
    TreeDataCreator dataCreator = new TreeDataCreator(m_configuration, learnSpec, learnTable.getRowCount());
    exec.setProgress("Reading data into memory");
    TreeData data = dataCreator.readData(learnTable, m_configuration, readInExec);
    // m_hiliteRowSample = dataCreator.getDataRowsForHilite();
    // m_viewMessage = dataCreator.getViewMessage();
    String dataCreationWarning = dataCreator.getAndClearWarningMessage();
    if (dataCreationWarning != null) {
        if (warn == null) {
            warn = dataCreationWarning;
        } else {
            warn = warn + "\n" + dataCreationWarning;
        }
    }
    readInExec.setProgress(1.0);
    exec.setMessage("Learning trees");
    AbstractGradientBoostingLearner learner = new LKGradientBoostedTreesLearner(m_configuration, data);
    AbstractGradientBoostingModel model;
    // m_configuration.setMissingValueHandling(MissingValueHandling.XGBoost);
    // try {
    model = learner.learn(learnExec);
    // } catch (ExecutionException e) {
    // Throwable cause = e.getCause();
    // if (cause instanceof Exception) {
    // throw (Exception)cause;
    // }
    // throw e;
    // }
    GradientBoostingModelPortObject modelPortObject = new GradientBoostingModelPortObject(ensembleSpec, model);
    learnExec.setProgress(1.0);
    if (warn != null) {
        setWarningMessage(warn);
    }
    return new PortObject[] { modelPortObject };
}
Also used : DataTableSpec(org.knime.core.data.DataTableSpec) GradientBoostingModelPortObject(org.knime.base.node.mine.treeensemble2.model.GradientBoostingModelPortObject) TreeEnsembleModelPortObjectSpec(org.knime.base.node.mine.treeensemble2.model.TreeEnsembleModelPortObjectSpec) LKGradientBoostedTreesLearner(org.knime.base.node.mine.treeensemble2.learner.gradientboosting.LKGradientBoostedTreesLearner) AbstractGradientBoostingModel(org.knime.base.node.mine.treeensemble2.model.AbstractGradientBoostingModel) BufferedDataTable(org.knime.core.node.BufferedDataTable) FilterLearnColumnRearranger(org.knime.base.node.mine.treeensemble2.node.learner.TreeEnsembleLearnerConfiguration.FilterLearnColumnRearranger) TreeData(org.knime.base.node.mine.treeensemble2.data.TreeData) ExecutionMonitor(org.knime.core.node.ExecutionMonitor) TreeDataCreator(org.knime.base.node.mine.treeensemble2.data.TreeDataCreator) PortObject(org.knime.core.node.port.PortObject) GradientBoostingModelPortObject(org.knime.base.node.mine.treeensemble2.model.GradientBoostingModelPortObject) AbstractGradientBoostingLearner(org.knime.base.node.mine.treeensemble2.learner.gradientboosting.AbstractGradientBoostingLearner)

Example 2 with AbstractGradientBoostingLearner

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

the class GradientBoostingRegressionLearnerNodeModel method execute.

/**
 * {@inheritDoc}
 */
@Override
protected PortObject[] execute(final PortObject[] inData, final ExecutionContext exec) throws Exception {
    BufferedDataTable t = (BufferedDataTable) inData[0];
    DataTableSpec spec = t.getDataTableSpec();
    final FilterLearnColumnRearranger learnRearranger = m_configuration.filterLearnColumns(spec);
    String warn = learnRearranger.getWarning();
    BufferedDataTable learnTable = exec.createColumnRearrangeTable(t, learnRearranger, exec.createSubProgress(0.0));
    DataTableSpec learnSpec = learnTable.getDataTableSpec();
    TreeEnsembleModelPortObjectSpec ensembleSpec = m_configuration.createPortObjectSpec(learnSpec);
    ExecutionMonitor readInExec = exec.createSubProgress(0.1);
    ExecutionMonitor learnExec = exec.createSubProgress(0.8);
    ExecutionMonitor outOfBagExec = exec.createSubProgress(0.1);
    TreeDataCreator dataCreator = new TreeDataCreator(m_configuration, learnSpec, learnTable.getRowCount());
    exec.setProgress("Reading data into memory");
    TreeData data = dataCreator.readData(learnTable, m_configuration, readInExec);
    // m_hiliteRowSample = dataCreator.getDataRowsForHilite();
    // m_viewMessage = dataCreator.getViewMessage();
    String dataCreationWarning = dataCreator.getAndClearWarningMessage();
    if (dataCreationWarning != null) {
        if (warn == null) {
            warn = dataCreationWarning;
        } else {
            warn = warn + "\n" + dataCreationWarning;
        }
    }
    readInExec.setProgress(1.0);
    exec.setMessage("Learning trees");
    AbstractGradientBoostingLearner learner = new MGradientBoostedTreesLearner(m_configuration, data);
    AbstractGradientBoostingModel model;
    // try {
    model = learner.learn(learnExec);
    // } catch (ExecutionException e) {
    // Throwable cause = e.getCause();
    // if (cause instanceof Exception) {
    // throw (Exception)cause;
    // }
    // throw e;
    // }
    GradientBoostingModelPortObject modelPortObject = new GradientBoostingModelPortObject(ensembleSpec, model);
    learnExec.setProgress(1.0);
    if (warn != null) {
        setWarningMessage(warn);
    }
    return new PortObject[] { modelPortObject };
}
Also used : DataTableSpec(org.knime.core.data.DataTableSpec) GradientBoostingModelPortObject(org.knime.base.node.mine.treeensemble2.model.GradientBoostingModelPortObject) TreeEnsembleModelPortObjectSpec(org.knime.base.node.mine.treeensemble2.model.TreeEnsembleModelPortObjectSpec) MGradientBoostedTreesLearner(org.knime.base.node.mine.treeensemble2.learner.gradientboosting.MGradientBoostedTreesLearner) AbstractGradientBoostingModel(org.knime.base.node.mine.treeensemble2.model.AbstractGradientBoostingModel) BufferedDataTable(org.knime.core.node.BufferedDataTable) FilterLearnColumnRearranger(org.knime.base.node.mine.treeensemble2.node.learner.TreeEnsembleLearnerConfiguration.FilterLearnColumnRearranger) TreeData(org.knime.base.node.mine.treeensemble2.data.TreeData) ExecutionMonitor(org.knime.core.node.ExecutionMonitor) TreeDataCreator(org.knime.base.node.mine.treeensemble2.data.TreeDataCreator) PortObject(org.knime.core.node.port.PortObject) GradientBoostingModelPortObject(org.knime.base.node.mine.treeensemble2.model.GradientBoostingModelPortObject) AbstractGradientBoostingLearner(org.knime.base.node.mine.treeensemble2.learner.gradientboosting.AbstractGradientBoostingLearner)

Aggregations

TreeData (org.knime.base.node.mine.treeensemble2.data.TreeData)2 TreeDataCreator (org.knime.base.node.mine.treeensemble2.data.TreeDataCreator)2 AbstractGradientBoostingLearner (org.knime.base.node.mine.treeensemble2.learner.gradientboosting.AbstractGradientBoostingLearner)2 AbstractGradientBoostingModel (org.knime.base.node.mine.treeensemble2.model.AbstractGradientBoostingModel)2 GradientBoostingModelPortObject (org.knime.base.node.mine.treeensemble2.model.GradientBoostingModelPortObject)2 TreeEnsembleModelPortObjectSpec (org.knime.base.node.mine.treeensemble2.model.TreeEnsembleModelPortObjectSpec)2 FilterLearnColumnRearranger (org.knime.base.node.mine.treeensemble2.node.learner.TreeEnsembleLearnerConfiguration.FilterLearnColumnRearranger)2 DataTableSpec (org.knime.core.data.DataTableSpec)2 BufferedDataTable (org.knime.core.node.BufferedDataTable)2 ExecutionMonitor (org.knime.core.node.ExecutionMonitor)2 PortObject (org.knime.core.node.port.PortObject)2 LKGradientBoostedTreesLearner (org.knime.base.node.mine.treeensemble2.learner.gradientboosting.LKGradientBoostedTreesLearner)1 MGradientBoostedTreesLearner (org.knime.base.node.mine.treeensemble2.learner.gradientboosting.MGradientBoostedTreesLearner)1