public double classifyInstance(Instance inst) throws Exception {
if (m_attribute == null) {
return m_intercept;
} else {
if (inst.isMissing(m_attribute.index())) {
throw new Exception("UnivariateLinearRegression: No missing values!");
}
return m_intercept + m_slope * inst.value(m_attribute.index());
}
}
public String toString() {
if (m_attribute == null) {
return "No model built yet.";
}
StringBuffer text = new StringBuffer();
if (m_attribute == null) {
text.append("Predicting constant " + m_intercept);
} else {
text.append("Linear regression on " + m_attribute.name() + "\n\n");
text.append(Utils.doubleToString(m_slope, 2) + " * " + m_attribute.name());
if (m_intercept > 0) {
text.append(" + " + Utils.doubleToString(m_intercept, 2));
} else {
text.append(" - " + Utils.doubleToString((-m_intercept), 2));
}
}
text.append("\n");
return text.toString();
}