fann

package module
v0.0.0-...-9103f1b Latest Latest
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 Go to latest Published: Mar 27, 2016 License: MIT Imports: 2 Imported by: 5

README 

Go bindings for Fast Artificial Neural Networks(FANN) library.
Thank White Pony

http://leenissen.dk/fann/wp/

To install:

1. go get github.com/WilliamDan/go-fann

2. a) `cd example/example_name && go build` to build example
   b) ./example_name

Please visit the api manual of FANN. 
Here we got a new function:

TrainData.PushExample(din []float64, dout []float64,nMax int);

Firstly, create a new train data object:

testData := fann.CreateTrain(2, 1)//create a train data with num_input =1 && num_output =2;

testData.PushExample([]float64{1, 0.5}, []float64{0.5}, 5)
//add a new group of input and output (an example) to the train data;
//the last param is the max length of the num_data; if data->num_data is bigger then nMax,First In First Out;

Documentation

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

This section is empty.

Types

type ActivationFunc 

type ActivationFunc C.enum_fann_activationfunc_enum

list all activation functions 

var COS ActivationFunc = C.FANN_COS
var COS_SYMMETRIC ActivationFunc = C.FANN_COS_SYMMETRIC
var ELLIOT ActivationFunc = C.FANN_ELLIOT
var ELLIOT_SYMMETRIC ActivationFunc = C.FANN_ELLIOT_SYMMETRIC
var GAUSSIAN ActivationFunc = C.FANN_GAUSSIAN
var GAUSSIAN_STEPWISE ActivationFunc = C.FANN_GAUSSIAN_STEPWISE
var GAUSSIAN_SYMMETRIC ActivationFunc = C.FANN_GAUSSIAN_SYMMETRIC
var LINEAR ActivationFunc = C.FANN_LINEAR
var LINEAR_PIECE ActivationFunc = C.FANN_LINEAR_PIECE
var LINEAR_PIECE_SYMMETRIC ActivationFunc = C.FANN_LINEAR_PIECE_SYMMETRIC
var SIGMOID ActivationFunc = C.FANN_SIGMOID
var SIGMOID_STEPWISE ActivationFunc = C.FANN_SIGMOID_STEPWISE
var SIGMOID_SYMMETRIC ActivationFunc = C.FANN_SIGMOID_SYMMETRIC
var SIGMOID_SYMMETRIC_STEPWISE ActivationFunc = C.FANN_SIGMOID_SYMMETRIC_STEPWISE
var SIN ActivationFunc = C.FANN_SIN
var SIN_SYMMETRIC ActivationFunc = C.FANN_SIN_SYMMETRIC
var THRESHOLD ActivationFunc = C.FANN_THRESHOLD
var THRESHOLD_SYMMETRIC ActivationFunc = C.FANN_THRESHOLD_SYMMETRIC

type Ann 

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

func CreateFromFile 

func CreateFromFile(filename string) *Ann

func CreateShortcut 

func CreateShortcut(num_layers uint32, layers []uint32) *Ann

func CreateSparse 

func CreateSparse(concentration float32, numLayers uint, layers []uint32) *Ann

func CreateStandard 

func CreateStandard(numLayers uint, layers []uint32) *Ann

Create ann functions

func (*Ann) CascadeTrainOnData 

func (ann *Ann) CascadeTrainOnData(td *TrainData, max_neurons uint32, neurons_between_reports uint32, desired_error float32)

func (*Ann) CascadeTrainOnFile 

func (ann *Ann) CascadeTrainOnFile(filename string, max_neurons uint32, neurons_between_reports uint32, desired_error float32)

func (*Ann) ClearScalingParams 

func (ann *Ann) ClearScalingParams() int

func (*Ann) DescaleInput 

func (ann *Ann) DescaleInput(input_vector []FannType)

func (*Ann) DescaleOutput 

func (ann *Ann) DescaleOutput(output_vector []FannType)

func (*Ann) DescaleTrain 

func (ann *Ann) DescaleTrain(td *TrainData)

func (*Ann) Destroy 

func (ann *Ann) Destroy()

destroy function

func (*Ann) GetActivationFunction 

func (ann *Ann) GetActivationFunction(layer int, neuron int) ActivationFunc

func (*Ann) GetActivationSteepness 

func (ann *Ann) GetActivationSteepness(layer int, neuron int) FannType

func (*Ann) GetBiasArray 

func (ann *Ann) GetBiasArray() []uint32

func (*Ann) GetBitFail 

func (ann *Ann) GetBitFail() uint32

func (*Ann) GetBitFailLimit 

func (ann *Ann) GetBitFailLimit() FannType

func (*Ann) GetCascadeActivationFunctions 

func (ann *Ann) GetCascadeActivationFunctions() []ActivationFunc

func (*Ann) GetCascadeActivationFunctionsCount 

func (ann *Ann) GetCascadeActivationFunctionsCount() uint32

func (*Ann) GetCascadeActivationSteepnesses 

func (ann *Ann) GetCascadeActivationSteepnesses() []FannType

func (*Ann) GetCascadeActivationSteepnessesCount 

func (ann *Ann) GetCascadeActivationSteepnessesCount() uint32

func (*Ann) GetCascadeCandidateChangeFraction 

func (ann *Ann) GetCascadeCandidateChangeFraction() float32

func (*Ann) GetCascadeCandidateLimit 

func (ann *Ann) GetCascadeCandidateLimit() FannType

func (*Ann) GetCascadeCandidateStagnationEpochs 

func (ann *Ann) GetCascadeCandidateStagnationEpochs() uint32

func (*Ann) GetCascadeMaxCandEpochs 

func (ann *Ann) GetCascadeMaxCandEpochs() uint32

func (*Ann) GetCascadeMaxOutEpochs 

func (ann *Ann) GetCascadeMaxOutEpochs() uint32

func (*Ann) GetCascadeNumCandidateGroups 

func (ann *Ann) GetCascadeNumCandidateGroups() uint32

func (*Ann) GetCascadeNumCandidates 

func (ann *Ann) GetCascadeNumCandidates() uint32

func (*Ann) GetCascadeOutputChangeFraction 

func (ann *Ann) GetCascadeOutputChangeFraction() float32

func (*Ann) GetCascadeOutputStagnationEpochs 

func (ann *Ann) GetCascadeOutputStagnationEpochs() uint32

func (*Ann) GetCascadeWeightMultiplier 

func (ann *Ann) GetCascadeWeightMultiplier() FannType

func (*Ann) GetConnectionRate 

func (ann *Ann) GetConnectionRate() float32

func (*Ann) GetLayerArray 

func (ann *Ann) GetLayerArray() []uint32

func (*Ann) GetLearningMomentum 

func (ann *Ann) GetLearningMomentum() float32

func (*Ann) GetLearningRate 

func (ann *Ann) GetLearningRate() float32

func (*Ann) GetMSE 

func (ann *Ann) GetMSE() float32

func (*Ann) GetNetworkType 

func (ann *Ann) GetNetworkType() Nettype

func (*Ann) GetNumInput 

func (ann *Ann) GetNumInput() uint32

getters

func (*Ann) GetNumLayers 

func (ann *Ann) GetNumLayers() uint32

func (*Ann) GetNumOutput 

func (ann *Ann) GetNumOutput() uint32

func (*Ann) GetQuickpropDecay 

func (ann *Ann) GetQuickpropDecay() float32

func (*Ann) GetQuickpropMu 

func (ann *Ann) GetQuickpropMu() float32

func (*Ann) GetRpropDecreaseFactor 

func (ann *Ann) GetRpropDecreaseFactor() float32

func (*Ann) GetRpropDeltaMax 

func (ann *Ann) GetRpropDeltaMax() float32

func (*Ann) GetRpropDeltaMin 

func (ann *Ann) GetRpropDeltaMin() float32

func (*Ann) GetRpropDeltaZero 

func (ann *Ann) GetRpropDeltaZero() float32

func (*Ann) GetRpropIncreaseFactor 

func (ann *Ann) GetRpropIncreaseFactor() float32

func (*Ann) GetTotalConnections 

func (ann *Ann) GetTotalConnections() uint32

func (*Ann) GetTotalNeurons 

func (ann *Ann) GetTotalNeurons() uint32

func (*Ann) GetTrainErrorFunction 

func (ann *Ann) GetTrainErrorFunction() TrainErrorFunction

func (*Ann) GetTrainStopFunction 

func (ann *Ann) GetTrainStopFunction() StopFunction

func (*Ann) GetTrainingAlgorithm 

func (ann *Ann) GetTrainingAlgorithm() TrainingAlgorithm

func (*Ann) InitWeights 

func (ann *Ann) InitWeights(train_data *TrainData)

func (*Ann) PrintConnections 

func (ann *Ann) PrintConnections()

print functions

func (*Ann) PrintParameters 

func (ann *Ann) PrintParameters()

func (*Ann) RandomizeWeights 

func (ann *Ann) RandomizeWeights(min_weight FannType, max_weight FannType)

func (*Ann) ResetMSE 

func (ann *Ann) ResetMSE()

func (*Ann) Run 

func (ann *Ann) Run(input []FannType) []FannType

run & test functions

func (*Ann) Save 

func (ann *Ann) Save(filename string)

save functions

func (*Ann) SaveToFixed 

func (ann *Ann) SaveToFixed(configuration_file string)

func (*Ann) ScaleInput 

func (ann *Ann) ScaleInput(input_vector []FannType)

func (*Ann) ScaleOutput 

func (ann *Ann) ScaleOutput(output_vector []FannType)

func (*Ann) ScaleTrain 

func (ann *Ann) ScaleTrain(td *TrainData)

func (*Ann) SetActivationFunction 

func (ann *Ann) SetActivationFunction(activation_function ActivationFunc, layer int, neuron int)

func (*Ann) SetActivationFunctionHidden 

func (ann *Ann) SetActivationFunctionHidden(tp ActivationFunc)

func (*Ann) SetActivationFunctionLayer 

func (ann *Ann) SetActivationFunctionLayer(activation_function ActivationFunc, layer int)

func (*Ann) SetActivationFunctionOutput 

func (ann *Ann) SetActivationFunctionOutput(tp ActivationFunc)

func (*Ann) SetActivationSteepness 

func (ann *Ann) SetActivationSteepness(steepness FannType, layer int, neuron int)

func (*Ann) SetActivationSteepnessHidden 

func (ann *Ann) SetActivationSteepnessHidden(steepness FannType)

func (*Ann) SetActivationSteepnessLayer 

func (ann *Ann) SetActivationSteepnessLayer(steepness FannType, layer int)

func (*Ann) SetActivationSteepnessOutput 

func (ann *Ann) SetActivationSteepnessOutput(steepness FannType)

func (*Ann) SetBitFailLimit 

func (ann *Ann) SetBitFailLimit(bit_fail_limit FannType)

func (*Ann) SetCascadeActivationFunctions 

func (ann *Ann) SetCascadeActivationFunctions(cascade_activation_functions []ActivationFunc)

func (*Ann) SetCascadeActivationSteepnesses 

func (ann *Ann) SetCascadeActivationSteepnesses(cascade_activation_steepnesses []FannType)

func (*Ann) SetCascadeCandidateChangeFraction 

func (ann *Ann) SetCascadeCandidateChangeFraction(cascade_candidate_change_fraction float32)

func (*Ann) SetCascadeCandidateLimit 

func (ann *Ann) SetCascadeCandidateLimit(cascade_candidate_limit FannType)

func (*Ann) SetCascadeCandidateStagnationEpochs 

func (ann *Ann) SetCascadeCandidateStagnationEpochs(cascade_candidate_stagnation_epochs uint32)

func (*Ann) SetCascadeMaxCandEpochs 

func (ann *Ann) SetCascadeMaxCandEpochs(cascade_max_cand_epochs uint32)

func (*Ann) SetCascadeMaxOutEpochs 

func (ann *Ann) SetCascadeMaxOutEpochs(cascade_max_out_epochs uint32)

func (*Ann) SetCascadeNumCandidateGroups 

func (ann *Ann) SetCascadeNumCandidateGroups(cascade_num_candidate_groups uint32)

func (*Ann) SetCascadeOutputChangeFraction 

func (ann *Ann) SetCascadeOutputChangeFraction(cascade_output_change_fraction float32)

func (*Ann) SetCascadeOutputStagnationEpochs 

func (ann *Ann) SetCascadeOutputStagnationEpochs(cascade_output_stagnation_epochs uint32)

func (*Ann) SetCascadeWeightMultiplier 

func (ann *Ann) SetCascadeWeightMultiplier(cascade_weight_multiplier FannType)

func (*Ann) SetInputScalingParams 

func (ann *Ann) SetInputScalingParams(td *TrainData, new_input_min float32, new_input_max float32) int

func (*Ann) SetLearningMomentum 

func (ann *Ann) SetLearningMomentum(learning_momentum float32)

func (*Ann) SetLearningRate 

func (ann *Ann) SetLearningRate(learning_rate float32)

func (*Ann) SetOutputScalingParams 

func (ann *Ann) SetOutputScalingParams(td *TrainData, new_output_min float32, new_output_max float32) int

func (*Ann) SetQuickpropDecay 

func (ann *Ann) SetQuickpropDecay(quickprop_decay float32)

func (*Ann) SetQuickpropMu 

func (ann *Ann) SetQuickpropMu(quickprop_mu float32)

func (*Ann) SetRpropDecreaseFactor 

func (ann *Ann) SetRpropDecreaseFactor(rprop_decrease_factor float32)

func (*Ann) SetRpropDeltaMax 

func (ann *Ann) SetRpropDeltaMax(rprop_delta_max float32)

func (*Ann) SetRpropDeltaMin 

func (ann *Ann) SetRpropDeltaMin(rprop_delta_min float32)

func (*Ann) SetRpropDeltaZero 

func (ann *Ann) SetRpropDeltaZero(rprop_delta_max float32)

func (*Ann) SetRpropIncreaseFactor 

func (ann *Ann) SetRpropIncreaseFactor(rprop_increase_factor float32)

func (*Ann) SetScalingParams 

func (ann *Ann) SetScalingParams(td *TrainData, new_input_min float32, new_input_max float32, new_output_min float32, new_output_max float32) int

func (*Ann) SetTrainErrorFunction 

func (ann *Ann) SetTrainErrorFunction(train_error_function TrainErrorFunction)

func (*Ann) SetTrainStopFunction 

func (ann *Ann) SetTrainStopFunction(train_stop_function StopFunction)

func (*Ann) SetTrainingAlgorithm 

func (ann *Ann) SetTrainingAlgorithm(training_algorithm TrainingAlgorithm)

func (*Ann) SetWeight 

func (ann *Ann) SetWeight(from_neuron uint32, to_neuron uint32, weight FannType)

func (*Ann) SetWeightArray 

func (ann *Ann) SetWeightArray(connections []Connection, num_connections uint32)

setters

func (*Ann) Test 

func (ann *Ann) Test(input []FannType, desired_output []FannType) []FannType

func (*Ann) TestData 

func (ann *Ann) TestData(td *TrainData) float32

func (*Ann) Train 

func (ann *Ann) Train(input []FannType, desired_output []FannType)

func (*Ann) TrainEpoch 

func (ann *Ann) TrainEpoch(td *TrainData) float32

func (*Ann) TrainOnData 

func (ann *Ann) TrainOnData(td *TrainData, max_epochs uint32, epochs_between_reports uint32, desired_error float32)

func (*Ann) TrainOnFile 

func (ann *Ann) TrainOnFile(filename string, maxEpoches uint32, epochBetweenReports uint32, desiredError float32)

type Connection 

type Connection C.struct_fann_connection

type Error 

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

func (*Error) PrintError 

func (err *Error) PrintError()

//FANN_EXTERNAL char *FANN_API fann_get_errstr(struct fann_error *errdat); 

func GetErrstr() () {
	C.fann_get_errstr()
}

func (*Error) ResetErrno 

func (err *Error) ResetErrno()

//FANN_EXTERNAL enum fann_errno_enum FANN_API fann_get_errno(struct fann_error *errdat); 

func GetErrno(errdat []) ( ) {
	C.fann_get_errno()
}

func (*Error) ResetErrstr 

func (err *Error) ResetErrstr()

FANN_EXTERNAL void FANN_API fann_reset_errstr(struct fann_error *errdat);

type FannType 

type FannType C.fann_type

type Nettype 

type Nettype C.enum_fann_nettype_enum

net types 

var NETTYPE_LAYER Nettype = C.FANN_NETTYPE_LAYER
var NETTYPE_SHORTCUT Nettype = C.FANN_NETTYPE_SHORTCUT

type StopFunction 

type StopFunction C.enum_fann_stopfunc_enum

stop functions 

var STOPFUNC_BIT StopFunction = C.FANN_STOPFUNC_BIT
var STOPFUNC_MSE StopFunction = C.FANN_STOPFUNC_MSE

type TrainData 

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

func CreateTrain 

func CreateTrain(nInput int, nOutput int) *TrainData

func PushExample(td *TrainData, din []float64, dout []float64, 

	nMax int) *TrainData {
	td.object = C.push_train_data(C.uint(nMax),
		td.object,
		(*C.double)(unsafe.Pointer(&din[0])),
		(*C.double)(unsafe.Pointer(&dout[0])),
	)
	return td
}

func MergeTrainData 

func MergeTrainData(td1 *TrainData, td2 *TrainData) *TrainData

func ReadTrainFromFile 

func ReadTrainFromFile(filename string) *TrainData

func (*TrainData) Destroy 

func (td *TrainData) Destroy()
func MakeTrainFromArray() *TrainData {
	var td TrainData

	cfn := C.CString(filename)
	defer C.free(unsafe.Pointer(cfn))

	td.object = C.fann_read_train_from_file(cfn)

	return &td
}

func (*TrainData) Duplicate 

func (td *TrainData) Duplicate() *TrainData

func (*TrainData) GetInput 

func (td *TrainData) GetInput(i uint32) []FannType

func (*TrainData) GetNumInput 

func (td *TrainData) GetNumInput() uint32

func (*TrainData) GetNumOutput 

func (td *TrainData) GetNumOutput() uint32

func (*TrainData) GetOutput 

func (td *TrainData) GetOutput(i uint32) []FannType

func (*TrainData) Length 

func (td *TrainData) Length() uint32

func (*TrainData) PushExample 

func (td *TrainData) PushExample(din []float64, dout []float64,
	nMax int)

func (*TrainData) SaveTrain 

func (td *TrainData) SaveTrain(filename string)

func (*TrainData) SaveTrainToFixed 

func (td *TrainData) SaveTrainToFixed(filename string, decimal_point uint32)

func (*TrainData) ScaleInputTrainData 

func (td *TrainData) ScaleInputTrainData(new_min FannType, new_max FannType)

func (*TrainData) ScaleOutputTrainData 

func (td *TrainData) ScaleOutputTrainData(new_min FannType, new_max FannType)

func (*TrainData) ScaleTrainData 

func (td *TrainData) ScaleTrainData(new_min FannType, new_max FannType)

func (*TrainData) Shuffle 

func (td *TrainData) Shuffle()

func (*TrainData) Subset 

func (td *TrainData) Subset(pos uint32, length uint32) *TrainData

type TrainErrorFunction 

type TrainErrorFunction C.enum_fann_errorfunc_enum

error function 

var ERRORFUNC_LINEAR TrainErrorFunction = C.FANN_ERRORFUNC_LINEAR
var ERRORFUNC_TANH TrainErrorFunction = C.FANN_ERRORFUNC_TANH

type TrainingAlgorithm 

type TrainingAlgorithm C.enum_fann_train_enum

training algs 

var TRAIN_BATCH TrainingAlgorithm = C.FANN_TRAIN_BATCH
var TRAIN_INCREMENTAL TrainingAlgorithm = C.FANN_TRAIN_INCREMENTAL
var TRAIN_QUICKPROP TrainingAlgorithm = C.FANN_TRAIN_QUICKPROP
var TRAIN_RPROP TrainingAlgorithm = C.FANN_TRAIN_RPROP

Source Files

View all Source files

Directories

Path Synopsis
examples
cascade_train
momentums
mushroom
robot
simple_train

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