gradientdescentestimator

package

v0.0.0-...-083fbd4 Latest Latest Go to latest Published: Feb 16, 2015 License: MIT Imports: 6 Imported by: 1

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Repository

github.com/amitkgupta/goodlearn

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Documentation ¶

Index ¶

func LinearModelLeastSquaresLossGradient(parameters, observedX []float64, observedY float64) ([]float64, error)
func NewGradientDescentParameterEstimator(learningRate, precision float64, maxIterations int, ...) (*gradientDescentParameterEstimator, error)
type ParameterizedLossGradient

Constants ¶

This section is empty.

Variables ¶

This section is empty.

Functions ¶

func LinearModelLeastSquaresLossGradient ¶

func LinearModelLeastSquaresLossGradient(parameters, observedX []float64, observedY float64) ([]float64, error)

func NewGradientDescentParameterEstimator ¶

func NewGradientDescentParameterEstimator(
	learningRate, precision float64,
	maxIterations int,
	plgf ParameterizedLossGradient,
) (*gradientDescentParameterEstimator, error)

Types ¶

type ParameterizedLossGradient ¶

type ParameterizedLossGradient func([]float64, []float64, float64) ([]float64, error)

Source Files ¶

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