Examples with InputPerceptron org.knime.base.data.neural.InputPerceptron used on opensource projects

Example 1 with InputPerceptron

use of org.knime.base.data.neural.InputPerceptron in project knime-core by knime.

the class PMMLNeuralNetworkTranslator method initInputLayer.

/**
 * @param nnModel the PMML neural network model
 */
private void initInputLayer(final NeuralNetwork nnModel) {
    NeuralInputs neuralInputs = nnModel.getNeuralInputs();
    m_idPosMap = new HashMap<String, Integer>();
    m_curPerceptrons = new Vector<Perceptron>();
    m_inputmap = new HashMap<String, Integer>();
    m_counter = 0;
    m_curLayer = 0;
    for (NeuralInput ni : neuralInputs.getNeuralInputArray()) {
        m_curPercpetronID = ni.getId();
        String fieldName = m_nameMapper.getColumnName(ni.getDerivedField().getFieldRef().getField());
        Perceptron p = new InputPerceptron();
        p.setClassValue(fieldName);
        m_inputmap.put(fieldName, m_counter);
        m_curPerceptrons.add(p);
        m_idPosMap.put(m_curPercpetronID, m_counter);
        m_counter++;
    }
    Perceptron[] curPerceptrons = new Perceptron[m_curPerceptrons.size()];
    curPerceptrons = m_curPerceptrons.toArray(curPerceptrons);
    m_predLayer = new InputLayer(curPerceptrons);
    m_allLayers.add(m_curLayer, new InputLayer(curPerceptrons));
    m_predPerceptrons = curPerceptrons;
    m_predidPosMap = new HashMap<String, Integer>(m_idPosMap);
}

Example 2 with InputPerceptron

use of org.knime.base.data.neural.InputPerceptron in project knime-core by knime.

the class PMMLNeuralNetworkTranslator method initInputLayer.

/**
 * @param nnModel the PMML neural network model
 */
private void initInputLayer(final NeuralNetwork nnModel) {
    NeuralInputs neuralInputs = nnModel.getNeuralInputs();
    m_idPosMap = new HashMap<String, Integer>();
    m_curPerceptrons = new Vector<Perceptron>();
    m_inputmap = new HashMap<String, Integer>();
    m_counter = 0;
    m_curLayer = 0;
    for (NeuralInput ni : neuralInputs.getNeuralInputArray()) {
        m_curPercpetronID = ni.getId();
        String fieldName = m_nameMapper.getColumnName(ni.getDerivedField().getFieldRef().getField());
        Perceptron p = new InputPerceptron();
        p.setClassValue(fieldName);
        m_inputmap.put(fieldName, m_counter);
        m_curPerceptrons.add(p);
        m_idPosMap.put(m_curPercpetronID, m_counter);
        m_counter++;
    }
    Perceptron[] curPerceptrons = new Perceptron[m_curPerceptrons.size()];
    curPerceptrons = m_curPerceptrons.toArray(curPerceptrons);
    m_predLayer = new InputLayer(curPerceptrons);
    m_allLayers.add(m_curLayer, new InputLayer(curPerceptrons));
    m_predPerceptrons = curPerceptrons;
    m_predidPosMap = new HashMap<String, Integer>(m_idPosMap);
}