Changeset 1022

Timestamp:

Feb 1, 2008, 7:01:47 PM (16 years ago)

Author:

Peter

Message:

passing VectorBase? in regression::MultiDimesionalWeighted? - refs #256

Location:

trunk/yat/regression

Files:

• MultiDimensionalWeighted.cc (modified) (4 diffs)
• MultiDimensionalWeighted.h (modified) (2 diffs)

trunk/yat/regression/MultiDimensionalWeighted.cc

@@ -52 +52 @@
 
   void MultiDimensionalWeighted::fit(const utility::matrix& x, 
-                                     const utility::vector& y,
-                                     const utility::vector& w)
+                                     const utility::VectorBase& y,
+                                     const utility::VectorBase& w)
   {
     assert(y.size()==w.size());
@@ -86 +86 @@
 
 
-  double MultiDimensionalWeighted::predict(const utility::vector& x) const
+  double MultiDimensionalWeighted::predict(const utility::VectorBase& x) const
   {
     assert(x.size()==fit_parameters_.size());
@@ -93 +93 @@
 
 
-  double MultiDimensionalWeighted::prediction_error2(const utility::vector& x,
+  double MultiDimensionalWeighted::prediction_error2(const utility::VectorBase& x,
                                                      const double w) const
   {
@@ -107 +107 @@
 
   double 
-  MultiDimensionalWeighted::standard_error2(const utility::vector& x) const
+  MultiDimensionalWeighted::standard_error2(const utility::VectorBase& x) const
   {
     double c = 0;

trunk/yat/regression/MultiDimensionalWeighted.h

@@ -63 +63 @@
        dimension errors).
     */
-    void fit(const utility::matrix& X, const utility::vector& y, 
-             const utility::vector& w);
+    void fit(const utility::matrix& X, const utility::VectorBase& y, 
+             const utility::VectorBase& w);
 
     ///
     /// @return value in @a x according to fitted model
     ///
-    double predict(const utility::vector& x) const;
+    double predict(const utility::VectorBase& x) const;
 
     ///
@@ -75 +75 @@
     /// in @a x
     ///
-    double prediction_error2(const utility::vector& x, const double w=1) const;
+    double prediction_error2(const utility::VectorBase& x, const double w=1) const;
 
     ///
     /// @return error of model value in @a x
     ///
-    double standard_error2(const utility::vector& x) const;
+    double standard_error2(const utility::VectorBase& x) const;
 
     ///