types

Documentation

Index

• Constants
• Variables
• type ModelConfig
  • func (c *ModelConfig) SourceURL() string
• type ModelOutputType
  • func (s ModelOutputType) String() string
• type ModelType
  • func (s ModelType) String() string

Constants

const (
	// Define energy source
	PlatformEnergySource    = "acpi"
	ComponentEnergySource   = "intel_rapl"
	TrainedPowerModelSource = "trained_power_model"

	// KeplerModelServerSync: define regressor trainer name.
	LinearRegressionTrainer = "SGDRegressorTrainer"
	LogarithmicTrainer      = "LogarithmicRegressionTrainer"
	LogisticTrainer         = "LogisticRegressionTrainer"
	ExponentialTrainer      = "ExponentialRegressionTrainer"
)

Variables

var (
	WeightSupportedTrainers = []string{
		LinearRegressionTrainer,
		LogarithmicTrainer,
		LogisticTrainer,
		ExponentialTrainer,
	}
)

Types

type ModelConfig

type ModelConfig struct {
	// model configuration
	ModelType         ModelType
	ModelOutputType   ModelOutputType
	TrainerName       string
	EnergySource      string
	SelectFilter      string
	InitModelURL      string
	InitModelFilepath string

	IsNodePowerModel bool

	// initial samples to start the model
	ProcessFeatureNames         []string
	NodeFeatureNames            []string
	SystemMetaDataFeatureNames  []string
	SystemMetaDataFeatureValues []string
}

func (*ModelConfig) SourceURL

func (c *ModelConfig) SourceURL() string

type ModelOutputType

type ModelOutputType int

const (
	// Power Model Output types
	// Absolute Power Model (AbsPower): is the power model trained by measured power (including the idle power)
	// Dynamic Power Model (DynPower): is the power model trained by dynamic power (AbsPower - idle power)
	AbsPower ModelOutputType = iota + 1
	DynPower
	Unsupported
)

func (ModelOutputType) String

func (s ModelOutputType) String() string

type ModelType

type ModelType int

const (
	// Power Model types
	Ratio            ModelType = iota + 1 // estimation happens within kepler without using Model Server
	Regressor                             // estimation happens within kepler, but pre-trained model parameters are downloaded externally
	EstimatorSidecar                      // estimation happens in the sidecar with a loaded pre-trained power model
)

func (ModelType) String

func (s ModelType) String() string