liba 0.1.15
An algorithm library based on C/C++
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regress_linear.h File Reference

linear regression More...

#include "a.h"
Include dependency graph for regress_linear.h:

Go to the source code of this file.

Data Structures

struct  a_regress_linear
 instance structure for linear regression More...
 

Typedefs

typedef struct a_regress_linear a_regress_linear
 
typedef struct a_regress_linear a::regress_linear
 

Functions

void a_regress_linear_init (a_regress_linear *ctx, double *coef_p, size_t coef_n, double bias)
 initialize for linear regression
 
double a_regress_linear_eval (a_regress_linear const *ctx, double const *val)
 calculate predicted value for linear regression
 
void a_regress_linear_err1 (a_regress_linear const *ctx, size_t n, double const *x, double const *y, double *err)
 calculate residuals for linear regression
 
void a_regress_linear_err2 (a_regress_linear const *ctx, size_t n, double const *const *x, double const *y, double *err)
 calculate residuals for linear regression
 
void a_regress_linear_pdm1 (a_regress_linear const *ctx, size_t n, double const *x, double *pdm, double y_mean)
 calculate prediction deviation from mean for linear regression
 
void a_regress_linear_pdm2 (a_regress_linear const *ctx, size_t n, double const *const *x, double *pdm, double y_mean)
 calculate prediction deviation from mean for linear regression
 
void a_regress_linear_gd (a_regress_linear *ctx, double const *input, double error, double alpha)
 gradient descent for linear regression
 
void a_regress_linear_sgd (a_regress_linear *ctx, double const *x, double y, double alpha)
 stochastic gradient descent for linear regression
 
void a_regress_linear_sgd1 (a_regress_linear *ctx, size_t n, double const *x, double const *y, double alpha)
 stochastic gradient descent for linear regression
 
void a_regress_linear_sgd2 (a_regress_linear *ctx, size_t n, double const *const *x, double const *y, double alpha)
 stochastic gradient descent for linear regression
 
void a_regress_linear_bgd1 (a_regress_linear *ctx, size_t n, double const *x, double const *err, double alpha)
 batch gradient descent for linear regression
 
void a_regress_linear_bgd2 (a_regress_linear *ctx, size_t n, double const *const *x, double const *err, double alpha)
 batch gradient descent for linear regression
 
double a_regress_linear_mgd1 (a_regress_linear *ctx, size_t n, double const *x, double const *y, double *err, double delta, double lrmax, double lrmin, size_t lrtim, size_t epoch, size_t batch)
 mini-batch gradient descent for linear regression
 
double a_regress_linear_mgd2 (a_regress_linear *ctx, size_t n, double const *const *x, double const *y, double *err, double delta, double lrmax, double lrmin, size_t lrtim, size_t epoch, size_t batch)
 mini-batch gradient descent for linear regression
 
void a_regress_linear_zero (a_regress_linear *ctx)
 zeroing for linear regression
 

Detailed Description