Examples with Config org.knime.core.node.config.Config used on opensource projects

Example 71 with Config

use of org.knime.core.node.config.Config in project knime-core by knime.

the class DiscretizationModel method load.

/**
 * {@inheritDoc}
 * <p />
 * IMPORTANT NOTE: This method DOES NOT load the table spec of included
 * columns from the provided model. This table spec must be loaded before
 * and must be provided here. It is taken over and stored.
 */
@Override
protected void load(final ModelContentRO model, final PortObjectSpec spec, final ExecutionMonitor exec) throws InvalidSettingsException, CanceledExecutionException {
    m_includedColumnNames = (DataTableSpec) spec;
    try {
        Config schemesConfig = model.getConfig(CONFIG_KEY_SCHEMES);
        m_schemes = new DiscretizationScheme[schemesConfig.getChildCount()];
        int i = 0;
        Enumeration<TreeNode> schemeConfigEnum = schemesConfig.children();
        while (schemeConfigEnum.hasMoreElements()) {
            if (exec != null) {
                exec.checkCanceled();
            }
            Config schemeConfig = (Config) schemeConfigEnum.nextElement();
            m_schemes[i] = new DiscretizationScheme(schemeConfig);
            i++;
        }
    } catch (Exception e) {
        m_schemes = null;
        m_includedColumnNames = null;
    }
}

Example 72 with Config

use of org.knime.core.node.config.Config in project knime-core by knime.

the class BitVectorAttributeModel method saveModelInternal.

/**
 * {@inheritDoc}
 */
@Override
void saveModelInternal(final Config config) {
    config.addInt(CLASS_VALUE_COUNTER, m_classValues.size());
    int i = 0;
    for (final BitVectorClassValue classVal : m_classValues.values()) {
        final Config classConfig = config.addConfig(CLASS_VALUE_SECTION + i);
        classVal.saveModel(classConfig);
        i++;
    }
}

Example 73 with Config

use of org.knime.core.node.config.Config in project knime-core by knime.

the class NaiveBayesModel method savePredictorParams.

/**
 * @param predParams to save the model
 */
public void savePredictorParams(final ConfigWO predParams) {
    // Save the classifier column
    predParams.addString(CLASS_COL_NAME, m_classColName);
    predParams.addBoolean(SKIP_MISSING_VALS, m_skipMissingVals);
    // create the skipped attributes section
    final Config skippedConfig = predParams.addConfig(SKIPPED_ATTRIBUTE_SECTION);
    // save the number of skipped attribute models
    skippedConfig.addInt(SKIPPED_ATTRIBUTE_COUNTER, m_skippedAttributes.size());
    // save the skipped attribute models
    int modelIndex = 0;
    for (final AttributeModel model : m_skippedAttributes) {
        final Config modelConfig = skippedConfig.addConfig(SKIPPED_ATTRIBUTE_DATA + modelIndex++);
        model.saveModel(modelConfig);
    }
    // create the model config section
    final Config modelConfigSect = predParams.addConfig(ATTRIBUTE_MODEL_SECTION);
    // Save the total number of records
    modelConfigSect.addInt(RECORD_COUNTER, m_noOfRecs);
    // save the number of attribute models
    modelConfigSect.addInt(ATTRIBUTE_MODEL_COUNTER, m_modelByAttrName.size());
    // save the attribute models
    modelIndex = 0;
    for (final AttributeModel model : m_modelByAttrName.values()) {
        final Config modelConfig = modelConfigSect.addConfig(ATTRIBUTE_MODEL_DATA + modelIndex++);
        model.saveModel(modelConfig);
    }
}

Example 74 with Config

use of org.knime.core.node.config.Config in project knime-core by knime.

the class NaiveBayesPortObjectSpec method load.

/**
 * {@inheritDoc}
 */
@Override
protected void load(final ModelContentRO model) throws InvalidSettingsException {
    final Config specModel = model.getConfig(CNFG_SPEC);
    m_tableSpec = DataTableSpec.load(specModel);
    final ModelContentRO classColModel = model.getModelContent(CNFG_CLASS_COL);
    m_classColumn = DataColumnSpec.load(classColModel);
}

Example 75 with Config

use of org.knime.core.node.config.Config in project knime-core by knime.

the class NaiveBayesPortObject method load.

/**
 * {@inheritDoc}
 */
@Override
protected void load(final ModelContentRO model, final PortObjectSpec spec, final ExecutionMonitor exec) throws InvalidSettingsException {
    final Config modelConfig = model.getConfig(CNFG_MODEL);
    m_model = new NaiveBayesModel(modelConfig);
    m_portSpec = spec;
}