shared3p_statistics_regression.sc File Reference

Data Structures
struct	LOESSResult< shared3p, T >

Functions
template<domain D :shared3p >
D float32	simpleLinearRegression (D int32[[1]] x, D int32[[1]] y, D bool[[1]] filter)
template<domain D :shared3p >
D float64	simpleLinearRegression (D int64[[1]] x, D int64[[1]] y, D bool[[1]] filter)
template<domain D :shared3p >
D float32	simpleLinearRegression (D float32[[1]] x, D float32[[1]] y, D bool[[1]] filter)
template<domain D :shared3p >
D float64	simpleLinearRegression (D float64[[1]] x, D float64[[1]] y, D bool[[1]] filter)
template<domain D :shared3p >
D float32	linearRegression (D int32[[2]] variables, D int32[[1]] dependent, int64 method)
template<domain D :shared3p >
D float64	linearRegression (D int64[[2]] variables, D int64[[1]] dependent, int64 method)
template<domain D :shared3p >
D float32	linearRegression (D float32[[2]] variables, D float32[[1]] dependent, int64 method)
template<domain D :shared3p >
D float64	linearRegression (D float64[[2]] variables, D float64[[1]] dependent, int64 method)
template<domain D :shared3p >
D float32	linearRegressionCG (D int32[[2]] variables, D int32[[1]] dependent, uint iterations)
template<domain D :shared3p >
D float64	linearRegressionCG (D int64[[2]] variables, D int64[[1]] dependent, uint iterations)
template<domain D :shared3p >
D float32	linearRegressionCG (D float32[[2]] variables, D float32[[1]] dependent, uint iterations)
template<domain D :shared3p >
D float64	linearRegressionCG (D float64[[2]] variables, D float64[[1]] dependent, uint iterations)
template<domain D :shared3p >
D float32	weightedLinearRegression (D float32[[2]] variables, D float32[[1]] dependent, D float32[[1]] weights)
template<domain D :shared3p >
D float64	weightedLinearRegression (D float64[[2]] variables, D float64[[1]] dependent, D float64[[1]] weights)
	deprecated ("the float32 version of LOESS is deprecated due to low precision. Use float64 version.") LOESSResult< D
float32	loess (D int32[[1]] x, D int32[[1]] y, float64 span, float32 xmin, float32 xmax, uint xpoints, uint degree)
template<domain D :shared3p >
LOESSResult< D, float64 >	loess (D int64[[1]] x, D int64[[1]] y, float64 span, float64 xmin, float64 xmax, uint xpoints, uint degree)
float32	loess (D float32[[1]] x, D float32[[1]] y, float64 span, float32 xmin, float32 xmax, uint xpoints, uint degree)
template<domain D :shared3p >
LOESSResult< D, float64 >	loess (D float64[[1]] x, D float64[[1]] y, float64 span, float64 xmin, float64 xmax, uint xpoints, uint degree)

Variables
int64	LINEAR_REGRESSION_INVERT = 0
int64	LINEAR_REGRESSION_LU_DECOMPOSITION = 1
int64	LINEAR_REGRESSION_GAUSS = 2
int64	LINEAR_REGRESSION_CONJUGATE_GRADIENT = 3