public String mapRegModelRegressionNormalization(String method, String arg) {
if (method == null || REGRESSIONNORMALIZATIONMETHOD.NONE.value().equals(method)) {
return arg;
} else if (REGRESSIONNORMALIZATIONMETHOD.EXP.value().equals(method)) {
return "Math.exp( " + arg + " )";
} else if (REGRESSIONNORMALIZATIONMETHOD.SOFTMAX.value().equals(method)
|| REGRESSIONNORMALIZATIONMETHOD.LOGIT.value().equals(method)) {
return "1.0 / ( 1.0 + Math.exp( -" + arg + " ) ) ";
} else {
throw new UnsupportedOperationException(
"Regression models can't support "
+ method
+ ", check that a classification model was not required instead. ");
}
}
public String mapRegModelClassificationNormalization(String method, String arg) {
if (method == null || REGRESSIONNORMALIZATIONMETHOD.NONE.value().equals(method)) {
return arg;
} else if (REGRESSIONNORMALIZATIONMETHOD.EXP.value().equals(method)) {
return "Math.exp( " + arg + " )";
} else if (REGRESSIONNORMALIZATIONMETHOD.SOFTMAX.value().equals(method)) {
return "Math.exp( " + arg + " )";
} else if (REGRESSIONNORMALIZATIONMETHOD.LOGIT.value().equals(method)) {
return "1.0 / ( 1.0 + Math.exp( -" + arg + " ) )";
} else if (REGRESSIONNORMALIZATIONMETHOD.PROBIT.value().equals(method)) {
return "probitPhi( " + arg + " )";
} else if (REGRESSIONNORMALIZATIONMETHOD.CLOGLOG.value().equals(method)) {
return "1.0 - Math.exp( - Math.exp( " + arg + " ) )";
} else if (REGRESSIONNORMALIZATIONMETHOD.LOGLOG.value().equals(method)) {
return "Math.exp( - Math.exp( -" + arg + " ) )";
} else if (REGRESSIONNORMALIZATIONMETHOD.CAUCHIT.value().equals(method)) {
return "0.5 + Math.atan( " + arg + " ) / Math.PI";
} else {
throw new UnsupportedOperationException("Unknown normalization method :" + method);
}
}