linear_regression

Documentation

Overview

// LinearRegressionPlugin makes scaling decisions based on LinearRegression. // (NOTE this is not very effective and was use as a demo and should be replaced by a more robust machine learning algorithm)

Index

• type LinearRegressionPlugin
  • func NewLinearRegressionPlugin(name, queueName string, threshold int) *LinearRegressionPlugin
  • func (plugin *LinearRegressionPlugin) Compute(noOfPendingPods, noOfNodes, noOfSched float64) interfaces.ComputeResult

Types

type LinearRegressionPlugin

type LinearRegressionPlugin struct {
	Name             string
	QueueName        string
	MinimumAmtOfData int
	// contains filtered or unexported fields
}

func NewLinearRegressionPlugin

func NewLinearRegressionPlugin(name, queueName string, threshold int) *LinearRegressionPlugin

Creates a new LinearRegressionPlugin

func (*LinearRegressionPlugin) Compute

func (plugin *LinearRegressionPlugin) Compute(noOfPendingPods, noOfNodes, noOfSched float64) interfaces.ComputeResult

Compute processes the data and return a ComputeResult