ml

package
v0.11.0-rc0 Latest Latest
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Published: Oct 13, 2023 License: AGPL-3.0 Imports: 7 Imported by: 3

Documentation

Overview

Package ml provides some fundamental machine learning primitives.

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

This section is empty.

Types

type Classifier

type Classifier interface {
	Classify(data []float64) (int, error)
	Train(data [][]float64, correct []int) error
}

Classifier TODO.

type GoLearnClassifier

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

GoLearnClassifier TODO.

func (*GoLearnClassifier) Classify

func (c *GoLearnClassifier) Classify(data []float64) (int, error)

Classify TODO.

func (*GoLearnClassifier) Train

func (c *GoLearnClassifier) Train(data [][]float64, correct []int) error

Train TODO.

type GoLearnNNClassifier

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

GoLearnNNClassifier TODO.

func (*GoLearnNNClassifier) Classify

func (c *GoLearnNNClassifier) Classify(data []float64) (int, error)

Classify TODO.

func (*GoLearnNNClassifier) Train

func (c *GoLearnNNClassifier) Train(data [][]float64, correct []int) error

Train TODO.

type Tensors added in v0.8.0

type Tensors map[string]*tensor.Dense

Tensors are a data structure to hold the input and output map of tensors that will fed into a model, or come from the result of a model.

Directories

Path Synopsis
Package inference allows users to do inference through tflite (tf, pytorch, etc in the future)
Package inference allows users to do inference through tflite (tf, pytorch, etc in the future)

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