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Build-A-Net.plantuml
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433 lines (330 loc) · 10.6 KB
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@startuml
title __BUILD-A-NET's Class Diagram__\n
namespace application {
class application.Main {
}
}
namespace application {
namespace commands {
class application.commands.AddLayer {
}
}
}
namespace application {
namespace commands {
class application.commands.AddNeuron {
}
}
}
namespace application {
namespace commands {
abstract class application.commands.Command {
}
}
}
namespace application {
namespace commands {
class application.commands.RemoveLayer {
}
}
}
namespace application {
namespace commands {
class application.commands.RemoveNeuron {
}
}
}
namespace application {
namespace commands {
class application.commands.SetMaxEpochs {
}
}
}
namespace application {
namespace commands {
class application.commands.SetMinError {
}
}
}
namespace application {
namespace commands {
class application.commands.SetSeed {
}
}
}
namespace application {
namespace fileHandler {
class application.fileHandler.FileHandler {
}
}
}
namespace application {
namespace generator {
class application.generator.Generator {
}
}
}
namespace application {
namespace integrator {
class application.integrator.Integrator {
}
}
}
namespace application {
namespace misc {
class application.misc.Rounder {
}
}
}
namespace application {
namespace wrappers {
class application.wrappers.DoubleWrapper {
}
}
}
namespace application {
namespace wrappers {
class application.wrappers.IntegerWrapper {
}
}
}
namespace data {
class data.AND {
}
}
namespace data {
abstract class data.Dataset {
}
}
namespace data {
class data.OR {
}
}
namespace data {
class data.UserSpecified {
}
}
namespace data {
class data.XOR {
}
}
namespace data {
namespace preprocessors {
class data.preprocessors.BoundedScaler {
}
}
}
namespace data {
namespace preprocessors {
class data.preprocessors.MinMaxScaler {
}
}
}
namespace data {
namespace preprocessors {
interface data.preprocessors.Preprocessor {
}
}
}
namespace data {
namespace samplers {
class data.samplers.RandomSampler {
}
}
}
namespace data {
namespace samplers {
interface data.samplers.Sampler {
}
}
}
namespace graphicalUserInterface {
class graphicalUserInterface.MessageBus {
}
}
namespace graphicalUserInterface {
namespace controllers {
class graphicalUserInterface.controllers.ApplicationWindowController {
}
}
}
namespace graphicalUserInterface {
namespace controllers {
class graphicalUserInterface.controllers.DataPreprocessorWindowController {
}
}
}
namespace graphicalUserInterface {
namespace controllers {
class graphicalUserInterface.controllers.DataSelectWindowController {
}
}
}
namespace graphicalUserInterface {
namespace controllers {
class graphicalUserInterface.controllers.DataSplitWindowController {
}
}
}
namespace graphicalUserInterface {
namespace controllers {
class graphicalUserInterface.controllers.GenericPreprocessorSelectController {
}
}
}
namespace graphicalUserInterface {
namespace controllers {
class graphicalUserInterface.controllers.NeuronSelectWindowController {
}
}
}
namespace graphicalUserInterface {
namespace drawers {
class graphicalUserInterface.drawers.LayerToolboxDrawer {
}
}
}
namespace graphicalUserInterface {
namespace drawers {
class graphicalUserInterface.drawers.NetworkDrawer {
}
}
}
namespace graphicalUserInterface {
namespace drawers {
class graphicalUserInterface.drawers.NeuronToolboxDrawer {
}
}
}
namespace neuralNetwork {
class neuralNetwork.Network {
}
}
namespace neuralNetwork {
namespace activationFunctions {
interface neuralNetwork.activationFunctions.ActivationFunction {
}
}
}
namespace neuralNetwork {
namespace activationFunctions {
class neuralNetwork.activationFunctions.Identity {
}
}
}
namespace neuralNetwork {
namespace activationFunctions {
class neuralNetwork.activationFunctions.Linear {
}
}
}
namespace neuralNetwork {
namespace activationFunctions {
class neuralNetwork.activationFunctions.ReLU {
}
}
}
namespace neuralNetwork {
namespace activationFunctions {
class neuralNetwork.activationFunctions.Sigmoid {
}
}
}
namespace neuralNetwork {
namespace components.layers {
class neuralNetwork.components.layers.HiddenLayer {
}
}
}
namespace neuralNetwork {
namespace components.layers {
class neuralNetwork.components.layers.InputLayer {
}
}
}
namespace neuralNetwork {
namespace components.layers {
abstract class neuralNetwork.components.layers.Layer {
}
}
}
namespace neuralNetwork {
namespace components.layers {
class neuralNetwork.components.layers.OutputLayer {
}
}
}
namespace neuralNetwork {
namespace components.neuron {
class neuralNetwork.components.neuron.Neuron {
}
}
}
namespace neuralNetwork {
namespace learningAlgorithms {
class neuralNetwork.learningAlgorithms.Backpropagation {
}
}
}
namespace neuralNetwork {
namespace learningAlgorithms {
interface neuralNetwork.learningAlgorithms.LearningAlgorithm {
}
}
}
application.Main -up-|> javafx.application.Application
application.commands.AddLayer -up-|> application.commands.Command
application.commands.AddNeuron -up-|> application.commands.Command
application.commands.RemoveLayer -up-|> application.commands.Command
application.commands.RemoveLayer o-- neuralNetwork.components.layers.Layer : component
application.commands.RemoveNeuron -up-|> application.commands.Command
application.commands.RemoveNeuron o-- neuralNetwork.components.neuron.Neuron : neuron
application.commands.SetMaxEpochs -up-|> application.commands.Command
application.commands.SetMinError -up-|> application.commands.Command
application.commands.SetSeed -up-|> application.commands.Command
data.AND -up-|> data.Dataset
data.OR -up-|> data.Dataset
data.UserSpecified -up-|> data.Dataset
data.XOR -up-|> data.Dataset
data.preprocessors.BoundedScaler .up.|> data.preprocessors.Preprocessor
data.preprocessors.MinMaxScaler .up.|> data.preprocessors.Preprocessor
data.samplers.RandomSampler .up.|> data.samplers.Sampler
graphicalUserInterface.controllers.ApplicationWindowController .up.|> javafx.fxml.Initializable
graphicalUserInterface.controllers.ApplicationWindowController o-- application.fileHandler.FileHandler : fileHandler
graphicalUserInterface.controllers.ApplicationWindowController o-- graphicalUserInterface.drawers.LayerToolboxDrawer : layerToolboxDrawer
graphicalUserInterface.controllers.ApplicationWindowController o-- application.wrappers.IntegerWrapper : maxEpochs
graphicalUserInterface.controllers.ApplicationWindowController o-- application.wrappers.DoubleWrapper : minError
graphicalUserInterface.controllers.ApplicationWindowController o-- graphicalUserInterface.drawers.NetworkDrawer : networkDrawer
graphicalUserInterface.controllers.ApplicationWindowController o-- neuralNetwork.Network : neuralNetwork
graphicalUserInterface.controllers.ApplicationWindowController o-- graphicalUserInterface.drawers.NeuronToolboxDrawer : neuronToolboxDrawer
graphicalUserInterface.controllers.DataPreprocessorWindowController .up.|> javafx.fxml.Initializable
graphicalUserInterface.controllers.DataPreprocessorWindowController o-- data.Dataset : preprocessedData
graphicalUserInterface.controllers.DataPreprocessorWindowController o-- graphicalUserInterface.controllers.DataSelectWindowController : previousController
graphicalUserInterface.controllers.DataSelectWindowController .up.|> javafx.fxml.Initializable
graphicalUserInterface.controllers.DataSelectWindowController o-- data.Dataset : loadedData
graphicalUserInterface.controllers.DataSplitWindowController .up.|> javafx.fxml.Initializable
graphicalUserInterface.controllers.DataSplitWindowController o-- graphicalUserInterface.controllers.DataPreprocessorWindowController : previousController
graphicalUserInterface.controllers.DataSplitWindowController o-- data.Dataset : previousData
graphicalUserInterface.controllers.GenericPreprocessorSelectController .up.|> javafx.fxml.Initializable
graphicalUserInterface.controllers.GenericPreprocessorSelectController o-- graphicalUserInterface.controllers.DataPreprocessorWindowController : holder
graphicalUserInterface.controllers.NeuronSelectWindowController .up.|> javafx.fxml.Initializable
neuralNetwork.Network .up.|> java.io.Serializable
neuralNetwork.Network o-- neuralNetwork.learningAlgorithms.LearningAlgorithm : learningAlgorithm
neuralNetwork.activationFunctions.Identity .up.|> neuralNetwork.activationFunctions.ActivationFunction
neuralNetwork.activationFunctions.Linear .up.|> neuralNetwork.activationFunctions.ActivationFunction
neuralNetwork.activationFunctions.ReLU .up.|> neuralNetwork.activationFunctions.ActivationFunction
neuralNetwork.activationFunctions.Sigmoid .up.|> neuralNetwork.activationFunctions.ActivationFunction
neuralNetwork.components.layers.HiddenLayer -up-|> neuralNetwork.components.layers.Layer
neuralNetwork.components.layers.InputLayer -up-|> neuralNetwork.components.layers.Layer
neuralNetwork.components.layers.Layer .up.|> java.io.Serializable
neuralNetwork.components.layers.OutputLayer -up-|> neuralNetwork.components.layers.Layer
neuralNetwork.components.neuron.Neuron .up.|> java.io.Serializable
neuralNetwork.components.neuron.Neuron o-- neuralNetwork.activationFunctions.ActivationFunction : activationFunction
neuralNetwork.learningAlgorithms.Backpropagation .up.|> neuralNetwork.learningAlgorithms.LearningAlgorithm
neuralNetwork.learningAlgorithms.Backpropagation o-- data.Dataset : data
neuralNetwork.learningAlgorithms.Backpropagation o-- neuralNetwork.Network : network
right footer
PlantUML diagram generated by SketchIt! (https://bitbucket.org/pmesmeur/sketch.it)
For more information about this tool, please contact philippe.mesmeur@gmail.com
endfooter
@enduml