Changeset 4078 for trunk/yat/regression/Linear.h

Timestamp:

Aug 26, 2021, 8:52:34 AM (19 months ago)

Author:

Peter

Message:

remove trailing ws

File:

• trunk/yat/regression/Linear.h (modified) (6 diffs)

trunk/yat/regression/Linear.h

@@ -36 +36 @@
 
   /**
-     @brief linear regression.   
-     
+     @brief linear regression.
+
      Data are modeled as \f$ y_i = \alpha + \beta (x_i-m_x) +
      \epsilon_i \f$.
   */
-  class Linear : public OneDimensional 
+  class Linear : public OneDimensional
   {
-  
+
   public:
     ///
@@ -51 +51 @@
 
     ///
-    /// @brief The destructor 
+    /// @brief The destructor
     ///
     virtual ~Linear(void);
-         
+
     /**
        The parameter \f$ \alpha \f$ is estimated as \f$
        \frac{1}{n}\sum y_i \f$
-       
+
        @return the parameter \f$ \alpha \f$
     */
@@ -66 +66 @@
        The variance is estimated as \f$ \frac{s^2}{n}
        \f$ where \f$ s^2 = \frac{\sum \epsilon^2}{n-2} \f$
-       
+
        @return variance of parameter \f$ \alpha \f$
     */
@@ -74 +74 @@
        The parameter \f$ \beta \f$ is estimated as \f$
        \frac{\textrm{Cov}(x,y)}{\textrm{Var}(x)} \f$
-       
+
        @return the parameter \f$ \beta \f$
     */
@@ -93 +93 @@
     */
     void fit(const utility::VectorBase& x, const utility::VectorBase& y) ;
-    
+
     ///
-    /// @return \f$ \alpha + \beta x \f$ 
+    /// @return \f$ \alpha + \beta x \f$
     ///
     double predict(const double x) const;
@@ -109 +109 @@
        The error of the model is estimated as \f$
        \textrm{alpha\_err}^2+\textrm{beta\_err}^2*(x-m_x)*(x-m_x)\f$
-    
+
        @return estimated error of model in @a x
     */