Release version 0.0.2

Hotfix: scaling functions in GP such that they also works for double

gaussian process/model/inc/gp.h

@@ -45,6 +45,7 @@ namespace melon {
 		std::unique_ptr<kernel::StationaryKernel<double, T>> _kernel;   /*!< kernel object*/
 		std::unique_ptr<Scaler<T>> _inputScaler;						/*!< Object for scaling input data*/
 		std::unique_ptr<Scaler<T>> _predictionScaler;					/*!< Object for scaling output data*/
+		std::unique_ptr<Scaler<double>> _parameterScaler;				/*!< Object for scaling double parameters*/
 
 		/*
 		*  @brief Sets data object containing model parameters.
@@ -315,6 +316,7 @@ namespace melon {
 
 		_inputScaler = ScalerFactory<T>::create_scaler(_data->inputScalerData);
 		_predictionScaler = ScalerFactory<T>::create_scaler(_data->predictionScalerData);
+		_parameterScaler =  ScalerFactory<double>::create_scaler(_data->predictionScalerData); // this scaler is used for double values only
 	}
 
 
@@ -380,8 +382,8 @@ namespace melon {
 
 		double minimum_scaled = *min_element(_data->Y.begin(), _data->Y.end());
 
-		double result = _predictionScaler->descale({ minimum_scaled }).front();
-
+		double result = _parameterScaler->descale({ minimum_scaled }).front();
+		
 		return  result;
 	}
 
@@ -397,7 +399,7 @@ namespace melon {
 
 		double maximum_scaled = *max_element(_data->Y.begin(), _data->Y.end());
 
-		double result = _predictionScaler->descale({maximum_scaled}).front();
+		double result = _parameterScaler->descale({maximum_scaled}).front();
 
 		return result;
 	}