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added documentation equations

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Krishna Vedala 2020-05-26 01:17:12 -04:00
parent b3ae9846dc
commit 7bb69e4183
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1 changed files with 6 additions and 3 deletions
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9
computer_oriented_statistical_methods/ordinary_least_squares_regressor.cpp
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@ -294,7 +294,8 @@ std::vector<std::vector<T>> get_transpose(
} }
/** /**
* Perform Ordinary Least Squares curve fit. * Perform Ordinary Least Squares curve fit. This operation is defined as
* \f[\beta = \left(X^TXX^T\right)Y\f]
* \param X feature matrix with rows representing sample vector of features * \param X feature matrix with rows representing sample vector of features
* \param Y known regression value for each sample * \param Y known regression value for each sample
* \returns fitted regression model polynomial coefficients * \returns fitted regression model polynomial coefficients
@ -322,9 +323,11 @@ std::vector<float> fit_OLS_regressor(std::vector<std::vector<T>> const &X,
/** /**
* Given data and OLS model coeffficients, predict * Given data and OLS model coeffficients, predict
* regression estimates. * regression estimates. This operation is defined as
* \f[y_{\text{row}=i} = \sum_{j=\text{columns}}\beta_j\cdot X_{i,j}\f]
*
* \param X feature matrix with rows representing sample vector of features * \param X feature matrix with rows representing sample vector of features
* \param \f$\beta\f$ fitted regression model * \param beta fitted regression model
* \return vector with regression values for each sample * \return vector with regression values for each sample
**/ **/
template <typename T> template <typename T>