# Changeset 2842

Ignore:
Timestamp:
Sep 17, 2012, 6:52:20 AM (10 years ago)
Message:

remove todo doxygen tags

Location:
trunk
Files:
3 edited

Unmodified
Removed
• ## trunk/build_support/yat-config.in

 r2828 # Copyright (C) 2008 Jari Häkkinen, Peter Johansson # Copyright (C) 2009, 2010, 2011 Peter Johansson # Copyright (C) 2009, 2010, 2011, 2012 Peter Johansson # # This file is part of the yat library, http://dev.thep.lu.se/yat
• ## trunk/yat/regression/LinearWeighted.h

 r2119 /// /// @brief linear regression. /// @brief linear regression. /// /// @todo document /// class LinearWeighted : public OneDimensionalWeighted class LinearWeighted : public OneDimensionalWeighted { public: /// /// virtual ~LinearWeighted(void); /** \f$alpha \f$ is estimated as \f$\frac{\sum w_iy_i}{\sum w_i} \f$ @return the parameter \f$\alpha \f$ */ \f$beta \f$ is estimated as \f$\frac{\sum w_i(y_i-m_y)(x_i-m_x)}{\sum w_i(x_i-m_x)^2} \f$ @return the parameter \f$\beta \f$ */ */ double beta_var(void) const; /** This function computes the best-fit linear regression void fit(const utility::VectorBase& x, const utility::VectorBase& y, const utility::VectorBase& w); /// ///  Function predicting value using the linear model: ///  Function predicting value using the linear model: /// \f$y =\alpha + \beta (x - m) \f$ /// double syy(void) const; double sxy(void) const; double alpha_; double alpha_var_;
• ## trunk/yat/regression/NaiveWeighted.h

 r2119 /// @brief naive fitting. /// /// @todo document /// class NaiveWeighted : public OneDimensionalWeighted class NaiveWeighted : public OneDimensionalWeighted { public: /// /// virtual ~NaiveWeighted(void); /** This function computes the best-fit for the naive model \f\$ y /// /// Function predicting value using the naive model, i.e. a /// weighted average. /// weighted average. /// double predict(const double x) const;
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