learning

Documentation

Overview

Package Learning implements the learning stage of the Neurlang classifier

Index

• type HyperParameters
  • func (h *HyperParameters) Reduce(center, max uint32, maxl modulo_t, alphabet *[2][]uint32) (off [2]uint32)
  • func (h *HyperParameters) Reduce1(alphabet *[2][]uint32) (off [2]uint32)
  • func (h *HyperParameters) Reduce2(alphabet *[2][]uint32) (off [2]uint32)
  • func (h *HyperParameters) SetLogger(filename string)
  • func (h *HyperParameters) Solve(d datasets.SplittedDataset) (int, *hashtron.Hashtron)
  • func (h *HyperParameters) Training(d datasets.Splitter) (*hashtron.Hashtron, error)

Types

type HyperParameters

type HyperParameters struct {
	Threads int // number of threads for learning

	Shuffle bool // whether to shuffle the set before each learning attempt
	Seed    bool // seed prng using true rng

	Printer       uint32 // print when hit conflicting solution of at least this large size
	DeadlineMs    int    // deadline in milliseconds to throw away incomplete solution attempt
	DeadlineRetry int    // retry from scratch after this many failed deadlines

	// Factor is how hard to try to come up with a smaller solution (default: 1)
	// Usually set equal to Subtractor
	Factor uint32

	// Subtractor is how hard to try to come up with a smaller solution (default: 1)
	// Usually set equal to Factor
	Subtractor uint32

	InitialLimit int // initial limit of how small the solution must be to be saved to disk

	DisableProgressBar bool // disable progress bar

	EndWhenSolved bool // end when solved

	Name string // override model name
	EOL  []byte // override EOL string
	// contains filtered or unexported fields
}

func (*HyperParameters) Reduce

func (h *HyperParameters) Reduce(center, max uint32, maxl modulo_t, alphabet *[2][]uint32) (off [2]uint32)

func (*HyperParameters) Reduce1

func (h *HyperParameters) Reduce1(alphabet *[2][]uint32) (off [2]uint32)

func (*HyperParameters) Reduce2

func (h *HyperParameters) Reduce2(alphabet *[2][]uint32) (off [2]uint32)

func (*HyperParameters) SetLogger

func (h *HyperParameters) SetLogger(filename string)

SetLogger sets the output logger file where hashtron golang code programs are written

func (*HyperParameters) Solve

func (h *HyperParameters) Solve(d datasets.SplittedDataset) (int, *hashtron.Hashtron)

Solve directly solves a single hashtron on a splitted dataset d. It outputs the size of solution and the trained hashtron if successful. Most callers should use Training instead.

func (*HyperParameters) Training

func (h *HyperParameters) Training(d datasets.Splitter) (*hashtron.Hashtron, error)

Training trains a single hashtron on a dataset d. It outputs the trained hashtron if successful, or an error.