optimus

package
v0.4.3 Latest Latest
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Published: Jul 3, 2018 License: Apache-2.0 Imports: 33 Imported by: 0

Documentation

Index

Constants

This section is empty.

Variables

View Source
var (
	ErrDegenerateVector = errors.New("all elements in the vector the same")
)

Functions

func SortOrders

func SortOrders(orders []WeightedOrder)

Types

type Clock

type Clock func() time.Time

Clock describes whatever that can return current time. Used primarily while testing.

type Config

type Config struct {
	Blockchain   *blockchain.Config         `yaml:"blockchain"`
	PrivateKey   privateKey                 `yaml:"ethereum" json:"-"`
	Logging      logging.Config             `yaml:"logging"`
	Node         nodeConfig                 `yaml:"node"`
	Workers      map[auth.Addr]workerConfig `yaml:"workers"`
	Benchmarks   benchmarks.Config          `yaml:"benchmarks"`
	Marketplace  marketplaceConfig          `yaml:"marketplace"`
	Optimization optimizationConfig
}

func LoadConfig

func LoadConfig(path string) (*Config, error)

func (*Config) Validate

func (m *Config) Validate() error

type Consumer

type Consumer interface {
	LowerBound() []float64
	DeviceType() sonm.DeviceType
	DeviceBenchmark(id int) (*sonm.Benchmark, bool)
	SplittingAlgorithm() sonm.SplittingAlgorithm
	Result(criteria float64) interface{}
}

type DeviceManager

type DeviceManager struct {
	// contains filtered or unexported fields
}

func (*DeviceManager) Consume

func (m *DeviceManager) Consume(benchmarks sonm.Benchmarks) (*sonm.AskPlanResources, error)

type MarketOrder

type MarketOrder = sonm.DWHOrder

type Model

type Model interface {
	// Train runs the training process, returning the trained model on success.
	// The "trainingSet" argument is a MxN matrix, while "expectation" must be
	// a M-length vector.
	Train(trainingSet [][]float64, expectation []float64) (TrainedModel, error)
}

Model represents a ML model that can be trained using provided training set with some expectation.

type Normalizer

type Normalizer interface {
	Normalize(x float64) float64
	NormalizeBatch(x []float64)
	Denormalize(x float64) float64
	IsDegenerated() bool
}

type Optimus

type Optimus struct {
	// contains filtered or unexported fields
}

Watch for current worker's status. Collect its devices.

Worker MUST provide its network capabilities somehow.

Fetch all bids. Optimize matrix looking for price per each benchmark unit. Map each bid to functional price. Then by comparing the price with expected price we can see what's underestimated. Sort. Filter. Pick.

func NewOptimus

func NewOptimus(cfg Config, log *zap.Logger) (*Optimus, error)

func (*Optimus) Run

func (m *Optimus) Run(ctx context.Context) error

type OrderClassification

type OrderClassification struct {
	WeightedOrders []WeightedOrder
	Predictor      *OrderPredictor
	Sigmoid        sigmoid
	Clock          Clock
}

OrderClassification is a struct that is returned after market orders classification. Contains weighted orders for some epoch and is able to predict some order's market price.

func (*OrderClassification) RecalculateWeightsAndSort

func (m *OrderClassification) RecalculateWeightsAndSort(orders []WeightedOrder)

type OrderClassifier

type OrderClassifier interface {
	Classify(orders []*MarketOrder) ([]WeightedOrder, error)
	ClassifyExt(orders []*MarketOrder) (*OrderClassification, error)
}

TODO: Docs.

type OrderPolicy

type OrderPolicy int
const (
	PolicySpotOnly OrderPolicy = iota
)

func (*OrderPolicy) UnmarshalYAML

func (m *OrderPolicy) UnmarshalYAML(unmarshal func(interface{}) error) error

type OrderPredictor

type OrderPredictor struct {
	// contains filtered or unexported fields
}

func (*OrderPredictor) PredictPrice

func (m *OrderPredictor) PredictPrice(order *MarketOrder) (float64, error)

type OrderScanner

type OrderScanner interface {
	All(ctx context.Context) ([]*MarketOrder, error)
}

type Registry

type Registry struct {
	// contains filtered or unexported fields
}

Registry keeps all used components in itself.

func (*Registry) Close

func (m *Registry) Close()

func (*Registry) NewDWH

func (m *Registry) NewDWH(ctx context.Context, addr auth.Addr, privateKey *ecdsa.PrivateKey) (sonm.DWHClient, error)

func (*Registry) NewWorkerManagement

func (m *Registry) NewWorkerManagement(ctx context.Context, addr auth.Addr, privateKey *ecdsa.PrivateKey) (sonm.WorkerManagementClient, error)

type TrainedModel

type TrainedModel interface {
	Predict(vec []float64) (float64, error)
}

type Watcher

type Watcher interface {
	OnRun()
	OnShutdown()
	Execute(ctx context.Context)
}

type WeightedOrder

type WeightedOrder struct {
	// Order is an initial market order.
	Order *MarketOrder
	// Price is an order price in USD/s.
	Price float64
	// PredictedPrice is a order price in USD/s, that is calculated during
	// scanning and analysing the market.
	PredictedPrice float64
	// Weight represents some specific order weight.
	//
	// It fits in [0; +Inf] range and is used to reduce an order attractiveness
	// if it has been laying on the market for a long time without being sold.
	Weight float64
	ID     string
}

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