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base

package

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Versions in this module

v1

v1.3.0

Feb 28, 2026

v1.2.2

Feb 28, 2026

Changes in this version

+ var JSON = jsoniter.ConfigCompatibleWithStandardLibrary

v1.2.1

Feb 28, 2026

v1.2.0

Feb 28, 2026

v1.1.0

Feb 27, 2026

v1.0.0

Feb 27, 2026

Changes in this version

+ func EuclideanDistance(u []float64, v []float64) float64

+ func GaussianKernel(sigma float64) func([]float64, []float64) float64

+ func GradientAscent(d Ascendable) error

+ func LinearKernel() func([]float64, []float64) float64

+ func LoadDataFromCSV(filepath string) ([][]float64, []float64, error)

+ func LoadDataFromCSVToStream(filepath string, data chan Datapoint, errors chan error)

+ func ManhattanDistance(u []float64, v []float64) float64

+ func Normalize(x [][]float64)

+ func NormalizePoint(x []float64)

+ func OnlyAsciiLetters(r rune) bool

+ func OnlyAsciiWords(r rune) bool

+ func OnlyAsciiWordsAndNumbers(r rune) bool

+ func OnlyLetters(r rune) bool

+ func OnlyWords(r rune) bool

+ func OnlyWordsAndNumbers(r rune) bool

+ func PolynomialKernel(d int, constants ...float64) func([]float64, []float64) float64

+ func SaveDataToCSV(filepath string, x [][]float64, y []float64, highPrecision bool) error

+ func StochasticGradientAscent(d StochasticAscendable) error

+ func TanhKernel(k float64, constants ...float64) func([]float64, []float64) float64

+ type Ascendable interface

+ Dj func(int) (float64, error)

+ LearningRate func() float64

+ MaxIterations func() int

+ Theta func() []float64

+ type Datapoint struct

+ X []float64

+ Y []float64

+ type DistanceMeasure func([]float64, []float64) float64

+ func LNorm(p int) DistanceMeasure

+ type Model interface

+ PersistToFile func(string) error

+ Predict func([]float64, ...bool) ([]float64, error)

+ RestoreFromFile func(string) error

+ type OnlineModel interface

+ OnlineLearn func(chan error, func([]float64))

+ PersistToFile func(string) error

+ Predict func([]float64) ([]float64, error)

+ RestoreFromFile func(string) error

+ UpdateStream func(chan Datapoint)

+ type OnlineTextModel interface

+ OnlineLearn func(chan<- error)

+ PersistToFile func(string) error

+ Predict func(string) uint8

+ RestoreFromFile func(string) error

+ UpdateStream func(chan TextDatapoint)

+ type OptimizationMethod string

+ const BatchGA

+ const StochasticGA

+ type StochasticAscendable interface

+ Dij func(int, int) (float64, error)

+ Examples func() int

+ LearningRate func() float64

+ MaxIterations func() int

+ Theta func() []float64

+ type TextDatapoint struct

+ X string

+ Y uint8