galaktaglare

Jan 29, 2024

Changes in this version

+ type DecisionTree struct

+ Root *TreeNode

+ func (dt *DecisionTree) Predict(features []float64) string

+ func (dt *DecisionTree) Train(data []Example)

+ type Example struct

+ Features []float64

+ Label string

+ type TreeNode struct

+ Left *TreeNode

+ PredictedClass string

+ Right *TreeNode

+ SplitFeature int

+ SplitValue float64

Jan 26, 2024

Changes in this version

+ func Backward(result *Variable)

+ func ReLU(x float64) float64

+ func Sigmoid(x float64) float64

+ type ActivationFunc func(float64) float64

+ type BatchNormalization struct

+ Beta float64

+ Epsilon float64

+ Gamma float64

+ Input []float64

+ Mean []float64

+ Output []float64

+ Variance []float64

+ func NewBatchNormalization(gamma, beta, epsilon float64) *BatchNormalization

+ func (bn *BatchNormalization) Forward(input []float64) []float64

+ type DenseLayer struct

+ Activation ActivationFunc

+ BatchNorm *BatchNormalization

+ Biases []float64

+ DropoutMask []float64

+ DropoutRate float64

+ InputSize int

+ Inputs []float64

+ LearningRateSchedule LearningRateSchedule

+ OutputSize int

+ WeightDecayL1 float64

+ WeightDecayL2 float64

+ Weights [][]float64

+ func NewDenseLayer(inputSize, outputSize int, activation ActivationFunc, ...) *DenseLayer

+ func (l *DenseLayer) Backpropagate(output, target []float64, learningRate float64) []float64

+ func (l *DenseLayer) Forward(input []float64) []float64

+ func (l *DenseLayer) GetAdjustedLearningRate(epoch int) float64

+ type LearningRateSchedule struct

+ Decay float64

+ InitialRate float64

+ type NeuralNetwork struct

+ Layers []*DenseLayer

+ func LoadModel(filename string) (*NeuralNetwork, error)

+ func NewNeuralNetwork(layers ...*DenseLayer) *NeuralNetwork

+ func (nn *NeuralNetwork) Backpropagate(output, target []float64, learningRate float64)

+ func (nn *NeuralNetwork) MultiplyMatrixVector(matrix [][]float64, vector []float64) []float64

+ func (nn *NeuralNetwork) MultiplyVectors(v1 []float64, v2 []float64) []float64

+ func (nn *NeuralNetwork) Predict(input []float64) []float64

+ func (nn *NeuralNetwork) SaveModel(filename string) error

+ func (nn *NeuralNetwork) Train(inputs, targets [][]float64, initialLearningRate float64, epochs int)

+ type Tensor struct

+ func NewTensor(shape []int) *Tensor

+ func (t *Tensor) Get(indices ...int) float64

+ func (t *Tensor) Set(value float64, indices ...int)

+ type TrainingMonitor struct

+ DisplayPeriod int

+ Epochs int

+ func NewTrainingMonitor(epochs, displayPeriod int) *TrainingMonitor

+ func (tm *TrainingMonitor) MonitorTraining(nn *NeuralNetwork, inputs, targets [][]float64, initialLearningRate float64)

+ type Variable struct

+ Children []*Variable

+ Gradient float64

+ Operation string

+ Value float64

+ func Add(a, b *Variable) *Variable

+ func Cos(a *Variable) *Variable

+ func Mul(a, b *Variable) *Variable

+ func NewVariable(value float64, operation string) *Variable

+ func Sin(a *Variable) *Variable

Jan 25, 2024

Changes in this version

+ type DataAnalysis struct

+ func (da *DataAnalysis) Mean(data []float64) float64

+ func (da *DataAnalysis) Median(data []float64) float64

+ func (da *DataAnalysis) Mode(data []float64) []float64

+ type GalaktaGlare struct

+ func New() *GalaktaGlare

+ func (gg *GalaktaGlare) AnomalyDetector(data []float64, threshold float64) []int

+ func (gg *GalaktaGlare) ExtractEntities(text string, customStopwords map[string]bool) []string

+ func (gg *GalaktaGlare) ImageDB(folderPath string) error

+ func (gg *GalaktaGlare) ImageScan(imagePath string) (float64, error)

+ func (gg *GalaktaGlare) Speech(tomlConfig string) error

+ func (gg *GalaktaGlare) SpeechCfg() error

+ func (gg *GalaktaGlare) TextClassifier(text, config string) (string, error)

+ type SpeechConfig struct

+ Lang string

+ Reco string

+ Text string