Examples with ModelContentRO org.knime.core.node.ModelContentRO used on opensource projects

Example 16 with ModelContentRO

use of org.knime.core.node.ModelContentRO in project knime-core by knime.

the class DecisionTreeLearnerNodeModel method loadInternals.

/**
 * {@inheritDoc}
 */
@Override
protected void loadInternals(final File nodeInternDir, final ExecutionMonitor exec) throws IOException, CanceledExecutionException {
    File internalsFile = new File(nodeInternDir, SAVE_INTERNALS_FILE_NAME);
    if (!internalsFile.exists()) {
        // file to load internals from not available
        return;
    }
    BufferedInputStream in = new BufferedInputStream(new GZIPInputStream(new FileInputStream(internalsFile)));
    ModelContentRO decisionTreeModel = ModelContent.loadFromXML(in);
    try {
        m_decisionTree = new DecisionTree(decisionTreeModel);
    } catch (Exception e) {
        // continue, but inform the user via a message
        setWarningMessage("Internal model could not be loaded: " + e.getMessage() + ". The view will not display properly.");
    }
}

Example 17 with ModelContentRO

use of org.knime.core.node.ModelContentRO in project knime-core by knime.

the class AffineTransConfiguration method load.

/**
 * Restores content.
 * @param settings To load from.
 * @return A new configuration object
 * @throws InvalidSettingsException If that fails.
 */
public static AffineTransConfiguration load(final ModelContentRO settings) throws InvalidSettingsException {
    ModelContentRO colSub = settings.getModelContent(CFG_COLUMNS);
    int colCount = colSub.keySet().size();
    double[] scales = new double[colCount];
    double[] translations = new double[colCount];
    double[] mins = new double[colCount];
    double[] maxs = new double[colCount];
    Arrays.fill(scales, Double.NaN);
    Arrays.fill(translations, Double.NaN);
    Arrays.fill(mins, Double.NaN);
    Arrays.fill(maxs, Double.NaN);
    String[] names = new String[colCount];
    int index = 0;
    for (String key : colSub.keySet()) {
        ModelContentRO sub = colSub.getModelContent(key);
        String name = sub.getString(CFG_NAME);
        double scale = sub.getDouble(CFG_SCALE);
        double trans = sub.getDouble(CFG_TRANSLATE);
        double min = sub.getDouble(CFG_MIN);
        mins[index] = min;
        double max = sub.getDouble(CFG_MAX);
        maxs[index] = max;
        scales[index] = scale;
        translations[index] = trans;
        names[index] = name;
        index++;
    }
    String summary = settings.getString(CFG_SUMMARY);
    return new AffineTransConfiguration(names, scales, translations, mins, maxs, summary);
}

Example 18 with ModelContentRO

use of org.knime.core.node.ModelContentRO 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 19 with ModelContentRO

use of org.knime.core.node.ModelContentRO in project knime-core by knime.

the class DecTreeToImageNodeModel method loadInternals.

/**
 * Load internals.
 *
 * @param nodeInternDir The intern node directory to load tree from.
 * @param exec Used to report progress or cancel saving.
 * @throws IOException Always, since this method has not been implemented
 *             yet.
 * @see org.knime.core.node.NodeModel
 *      #loadInternals(java.io.File,ExecutionMonitor)
 */
@Override
protected void loadInternals(final File nodeInternDir, final ExecutionMonitor exec) throws IOException {
    // read the decision tree
    File internalsFile = new File(nodeInternDir, DEC_TREE_FILE_NAME);
    if (!internalsFile.exists()) {
        // file to load internals from not available
        setWarningMessage("Internal model could not be loaded.");
        return;
    }
    BufferedInputStream in2 = new BufferedInputStream(new GZIPInputStream(new FileInputStream(internalsFile)));
    ModelContentRO binModel = ModelContent.loadFromXML(in2);
    try {
        m_decTree = new DecisionTree(binModel);
    } catch (InvalidSettingsException ise) {
        LOGGER.warn("Model (internals) could not be loaded.", ise);
        setWarningMessage("Internal model could not be loaded.");
    }
    exec.setProgress(0.5);
    // read image content
    File f = new File(nodeInternDir, IMAGE_FILE_NAME);
    ObjectInputStream in = new ObjectInputStream(new FileInputStream(f));
    try {
        m_imageContent = new PNGImageContent(in);
    } catch (Exception e) {
        in.close();
        LOGGER.warn("Model (internals) could not be loaded.", e);
        setWarningMessage("Internal model could not be loaded.");
    }
    in.close();
    exec.setProgress(1.0);
}

Example 20 with ModelContentRO

use of org.knime.core.node.ModelContentRO in project knime-core by knime.

the class DecisionTreeLearnerNodeModel2 method loadInternals.

/**
 * {@inheritDoc}
 */
@Override
protected void loadInternals(final File nodeInternDir, final ExecutionMonitor exec) throws IOException, CanceledExecutionException {
    File internalsFile = new File(nodeInternDir, SAVE_INTERNALS_FILE_NAME);
    if (!internalsFile.exists()) {
        // file to load internals from not available
        return;
    }
    BufferedInputStream in = new BufferedInputStream(new GZIPInputStream(new FileInputStream(internalsFile)));
    ModelContentRO decisionTreeModel = ModelContent.loadFromXML(in);
    try {
        m_decisionTree = new DecisionTree(decisionTreeModel);
    } catch (Exception e) {
        // continue, but inform the user via a message
        setWarningMessage("Internal model could not be loaded: " + e.getMessage() + ". The view will not display properly.");
    }
}