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regressor

package

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Versions in this module

v0

v0.7.12

Oct 14, 2024

Changes in this version

type ComponentModelWeights

+ Core *ModelWeights

+ DRAM *ModelWeights

+ ModelMachineSpec *config.MachineSpec

+ ModelName string

+ Package *ModelWeights

+ Platform *ModelWeights

+ Uncore *ModelWeights

+ func (w ComponentModelWeights) String() string

+ func (w ComponentModelWeights) Trainer() string

type ModelRequest

+ MachineSpec config.MachineSpec

type Regressor

+ DiscoveredMachineSpec *config.MachineSpec

+ RequestMachineSpec *config.MachineSpec

v0.7.11

Jul 10, 2024

v0.7.10

May 15, 2024

v0.7.9

Apr 8, 2024

v0.7.8

Mar 3, 2024

v0.7.7

Feb 23, 2024

v0.7.6

Feb 23, 2024

v0.7.5

Feb 23, 2024

v0.7.4

Feb 23, 2024

Changes in this version

+ var ErrModelWeightsInvalid = fmt.Errorf("ModelWeights is invalid")

+ type AllWeights struct

+ BiasWeight float64

+ CategoricalVariables map[string]map[string]CategoricalFeature

+ CurveFitWeights []float64

+ NumericalVariables map[string]NormalizedNumericalFeature

+ type CategoricalFeature struct

+ Weight float64

+ type ComponentModelWeights map[string]ModelWeights

+ type ExponentialPredictor struct

+ type LinearPredictor struct

+ type LogarithmicPredictor struct

+ type LogisticPredictor struct

+ type ModelRequest struct

+ EnergySource string

+ MetricNames []string

+ NodeType int

+ OutputType string

+ SelectFilter string

+ TrainerName string

+ Weight bool

+ type ModelWeights struct

+ type NormalizedNumericalFeature struct

+ Scale float64

+ Weight float64

+ type Predictor interface

+ func NewExponentialPredictor(weight ModelWeights) (predictor Predictor, err error)

+ func NewLinearPredictor(weight ModelWeights) (predictor Predictor, err error)

+ func NewLogarithmicPredictor(weight ModelWeights) (predictor Predictor, err error)

+ func NewLogisticPredictor(weight ModelWeights) (predictor Predictor, err error)

+ type Regressor struct

+ EnergySource string

+ FloatFeatureNames []string

+ ModelServerEndpoint string

+ ModelWeightsFilepath string

+ ModelWeightsURL string

+ OutputType types.ModelOutputType

+ SelectFilter string

+ SystemMetaDataFeatureNames []string

+ SystemMetaDataFeatureValues []string

+ TrainerName string

+ func (r *Regressor) AddDesiredOutValue(y float64)

+ func (r *Regressor) AddNodeFeatureValues(x []float64)

+ func (r *Regressor) AddProcessFeatureValues(x []float64)

+ func (r *Regressor) GetComponentsPower(isIdlePower bool) ([]source.NodeComponentsEnergy, error)

+ func (r *Regressor) GetGPUPower(isIdlePower bool) ([]float64, error)

+ func (r *Regressor) GetModelType() types.ModelType

+ func (r *Regressor) GetNodeFeatureNamesList() []string

+ func (r *Regressor) GetPlatformPower(isIdlePower bool) ([]float64, error)

+ func (r *Regressor) GetProcessFeatureNamesList() []string

+ func (r *Regressor) IsEnabled() bool

+ func (r *Regressor) ResetSampleIdx()

+ func (r *Regressor) Start() error

+ func (r *Regressor) Train() error