mlgo

package module

v0.0.0-...-9bff13d Latest Latest Go to latest Published: Dec 5, 2015 License: LGPL-3.0 Imports: 1 Imported by: 2

Details

Valid go.mod file

The Go module system was introduced in Go 1.11 and is the official dependency management solution for Go.
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Repository

github.com/Ianvdl/mlgo

Links

Open Source Insights

README ¶

mlgo

This is not my own work and was automatically exported from google code (pending closure)

Automatically exported from code.google.com/p/mlgo

The original project was licenced LGPL, which means that it also applies to this repo.

Documentation ¶

Index ¶

Constants
func ApproximatelyEqual(a, b, epsilon float64) bool
func DefinitelyGreaterThan(a, b, epsilon float64) bool
func DefinitelyLessThan(a, b, epsilon float64) bool
func EssentiallyEqual(a, b, epsilon float64) bool
func Range(start, end int) (x []int)
type Matrix
- func CopyMatrix(Y [][]float64) (X Matrix)
type Summary
type Vector
- func NewVector(m int, v float64) (x Vector)

Constants ¶

View Source

const (
	MaxValue = math.MaxFloat64
)

Variables ¶

This section is empty.

Functions ¶

func ApproximatelyEqual ¶

func ApproximatelyEqual(a, b, epsilon float64) bool

func DefinitelyGreaterThan ¶

func DefinitelyGreaterThan(a, b, epsilon float64) bool

func DefinitelyLessThan ¶

func DefinitelyLessThan(a, b, epsilon float64) bool

func EssentiallyEqual ¶

func EssentiallyEqual(a, b, epsilon float64) bool

func Range ¶

func Range(start, end int) (x []int)

Types ¶

type Matrix ¶

type Matrix [][]float64

this definition creates problem in client program defining Matrix and Vector i.e. mlgo.Vector != Vector type Matrix []Vector

func CopyMatrix ¶

func CopyMatrix(Y [][]float64) (X Matrix)

CopyMatrix returns a Matrix filled with content from Y

func (Matrix) Copied ¶

func (X Matrix) Copied() (Y Matrix)

Copied returns a copy of the Matrix.

func (Matrix) Equal ¶

func (X Matrix) Equal(Y Matrix) bool

func (Matrix) Len ¶

func (X Matrix) Len() int

func (Matrix) Less ¶

func (X Matrix) Less(i, j int) bool

Less returns whether row i is lexicographically less than row j

func (Matrix) Slice ¶

func (X Matrix) Slice(idx []int) (Y Matrix)

func (Matrix) Summarize ¶

func (X Matrix) Summarize() (means, variances Vector)

func (Matrix) Swap ¶

func (X Matrix) Swap(i, j int)

type Summary ¶

type Summary struct {
	Mean, N, Min, Max float64
	// contains filtered or unexported fields
}

func (*Summary) Add ¶

func (s *Summary) Add(x float64)

Add accumulates running statistics for calculating variance and standard deviation using the Welford method (1962)

func (*Summary) AddValues ¶

func (s *Summary) AddValues(x []float64)

func (*Summary) Range ¶

func (s *Summary) Range() (r float64)

Range returns the range of the data

func (*Summary) Sd ¶

func (s *Summary) Sd() (v float64)

Sd returns the sample standard deviation

func (*Summary) SdP ¶

func (s *Summary) SdP() (v float64)

SdP returns the population standard deviation

func (*Summary) Var ¶

func (s *Summary) Var() (v float64)

Var returns the sample variance

func (*Summary) VarP ¶

func (s *Summary) VarP() (v float64)

VarP returns the population variance

type Vector ¶

type Vector []float64

func NewVector ¶

func NewVector(m int, v float64) (x Vector)

func (Vector) Equal ¶

func (x Vector) Equal(y Vector) bool

func (Vector) Mean ¶

func (x Vector) Mean() (m float64)

func (Vector) Reordered ¶

func (x Vector) Reordered(index []int) (y Vector)

func (Vector) Summarize ¶

func (x Vector) Summarize() (mean, variance float64)

Source Files ¶

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Directories ¶

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