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:

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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, a_float *coef_p, a_size coef_n, a_float bias)
 initialize for linear regression
 
a_float a_regress_linear_eval (a_regress_linear const *ctx, a_float const *val)
 calculate predicted value for linear regression
 
void a_regress_linear_err (a_regress_linear const *ctx, a_size n, a_float const *x, a_float const *y, a_float *err)
 calculate residuals for linear regression
 
void a_regress_linear_pdm (a_regress_linear const *ctx, a_size n, a_float const *x, a_float *pdm, a_float y_mean)
 calculate prediction deviation from mean for linear regression
 
void a_regress_linear_gd (a_regress_linear *ctx, a_float const *input, a_float error, a_float alpha)
 gradient descent for linear regression
 
void a_regress_linear_sgd (a_regress_linear *ctx, a_size n, a_float const *x, a_float const *y, a_float alpha)
 stochastic gradient descent for linear regression
 
void a_regress_linear_bgd (a_regress_linear *ctx, a_size n, a_float const *x, a_float const *err, a_float alpha)
 batch gradient descent for linear regression
 
a_float a_regress_linear_mgd (a_regress_linear *ctx, a_size n, a_float const *x, a_float const *y, a_float *err, a_float delta, a_float lrmax, a_float lrmin, a_size lrtim, a_size epoch, a_size batch)
 mini-batch gradient descent for linear regression
 
void a_regress_linear_zero (a_regress_linear *ctx)
 zeroing for linear regression
 

Detailed Description