/// <summary>
/// Sets the base settings values for the training algorithm
/// </summary>
/// <param name="settings">The network settings of the network that is
/// calling the class.</param>
public void SetSettings(NetworkSettings settings)
{
this.settings = settings;
if (settings.Other.ContainsKey("startlayerindex"))
{
int.TryParse(settings.Other["startlayerindex"], out layerIndex);
}
if (settings.Other.ContainsKey("startnodeindex"))
{
int.TryParse(settings.Other["startnodeindex"], out nodeIndex);
}
if (settings.Other.ContainsKey("basestepvalue"))
{
float.TryParse(settings.Other["basestepvalue"], out stepValue);
}
if (stepValue == 0)
{
stepValue = 1;
}
if (settings.Other.ContainsKey("maxflips"))
{
int.TryParse(settings.Other["maxflips"], out maxFlips);
}
if (maxFlips == 0)
{
maxFlips = 20;
}
}
public void SetUp()
{
basePath = "C:\\Development Projects\\ENN\\TestSuite\\TestFiles\\";
testSetting = new NetworkSettings();
target = new NetworkSettings();
SetBaseSetting();
}
/// <summary>
/// Saves a NetworkSettings object to file. The object can be saved to either a binary
/// file or text file.
/// </summary>
/// <param name="settings">The object to save to file.</param>
/// <param name="filePath">The location to save the file.</param>
/// <param name="binary">If true a binary file will be created. Else a text file will
/// be generated. By default this parameter is false.</param>
/// <exception cref="IOException">System.IO.IOException</exception>
public static void Save(NetworkSettings settings, string filePath, bool binary = false)
{
if (binary)
SaveBinary(ref settings, filePath);
else
SaveText(ref settings, filePath);
}
static void Main(string[] args)
{
//variable set up
settings = new NetworkSettings();
topologies = new Dictionary<string, NetworkTopology>();
objectFactory = new Dictionary<string, IUserObjectFactory>();
objectFactory.Add("standard", new StandLibFactory());
loadTool = new LoadTool(ref settings, ref topologies, ref objectFactory);
updateTool = new UpdateTool(ref settings, ref topologies);
saveTool = new SaveTool(ref settings, ref topologies);
//start up display information
Console.WriteLine("ENN Copyright (C) 2012 Tim Eck II");
Console.WriteLine("This program comes with ABSOLUTELY NO WARRANTY.");
Console.WriteLine("This is free software, and you are welcome to redistribute it");
Console.WriteLine(
"under certain conditions; which can be found in the COPYING.LESSER.txt file");
Console.WriteLine("that was provided with the program.\n");
Console.WriteLine(
"The ENN runtime has been succesfully started. You may now enter commands");
Console.WriteLine("If you are not sure where to start enter -h.");
//command line processing loop
Command command = RetrieveCommand(Console.ReadLine());
while (command.BaseType != CommandType.Exit)
{
ProcessCommand(command);
command = RetrieveCommand(Console.ReadLine());
}
}
public LoadTool(ref NetworkSettings settings,
ref Dictionary<string, NetworkTopology> topologies,
ref Dictionary<string, IUserObjectFactory> objectFactory)
{
this.settings = settings;
this.topologies = topologies;
this.objectFactory = objectFactory;
}
/// <summary>
/// Loads a NetwokTopology from either a text file or binary file.
/// </summary>
/// <param name="file">The path to the file the contains the
/// NetworkTopology</param>
/// <param name="objectFactories">The object factories that will be
/// used to transform types specified in a text file into objects.
/// </param>
/// <param name="settings">The currently loaded NetworkSettings.</param>
/// <param name="binary">If true a binary file will be loaded, else
/// a text file will be loaded. By default this is false.</param>
/// <returns></returns>
/// <exception cref="IOException">System.IO.IOException</exception>
public static NetworkTopology Load(
string file,
ref Dictionary<string, IUserObjectFactory> objectFactories,
ref NetworkSettings settings, bool binary = false)
{
if (binary)
return LoadBinary(file);
return LoadText(file, ref objectFactories, ref settings);
}
public void SaveText()
{
SetBaseSetting();
Settings.Save(baseSetting, basePath + "testSaveSettings.nns");
testSetting = Settings.Load(basePath + "testSaveSettings.nns");
Assert.IsTrue(baseSetting.Equals(testSetting));
File.Delete(basePath + "testSaveSettings.nns");
}
public override bool Equals(object obj)
{
NetworkSettings other = (NetworkSettings)obj;
if (other == null)
{
return(true);
}
if (this.Mode != other.Mode ||
this.NetworkType != other.NetworkType)
{
return(true);
}
if (this.DefaultFactory != other.DefaultFactory ||
this.DefaultHiddenLayer != other.DefaultHiddenLayer ||
this.DefaultInputLayer != other.DefaultInputLayer ||
this.DefaultNode != other.DefaultNode ||
this.DefaultOutputLayer != other.DefaultOutputLayer)
{
return(false);
}
if (this.EnableTiming != other.EnableTiming)
{
return(false);
}
if (this.TrainingAccuracy != other.TrainingAccuracy ||
this.TrainingIterations != other.TrainingIterations ||
this.TraininPool != other.TraininPool)
{
return(false);
}
if (this.Other.Count != other.Other.Count)
{
return(false);
}
foreach (KeyValuePair <string, string> key in this.Other)
{
if (!other.Other.ContainsKey(key.Key))
{
return(false);
}
if (key.Value != other.Other[key.Key])
{
return(false);
}
}
return(true);
}
public HillClimbAlgo()
{
layerIndex = 0;
nodeIndex = 0;
weightIndex = 0;
flips = 0;
maxFlips = 20;
baseStepValue = 1;
stepValue = baseStepValue;
priorError = float.MinValue;
priorWeightValue = -2.0f;
settings = null;
}
public HillClimbAlgo()
{
layerIndex = 0;
nodeIndex = 0;
weightIndex = 0;
flips = 0;
maxFlips = 20;
baseStepValue = 1;
stepValue = baseStepValue;
priorError = float.MinValue;
priorWeightValue = -2.0f;
settings = null;
}
/// <summary>
/// Loads settings from a file.
/// </summary>
/// <param name="commands">Commands used to customize the behavior of the
/// command</param>
void SettingsHandler(List<RawCommand> commands)
{
Console.WriteLine("Loading settings...");
if (commands[2].CommandChar != 'f')
{
Console.WriteLine("Settings could not be loaded");
Console.WriteLine("No file was specified");
return;
}
try
{
bool binary = false;
if (commands.Count > 3)
{
if (commands[3].CommandChar == 'b')
{
binary = true;
}
else
{
binary = commands[2].Value.EndsWith("nnsc", true, null);
}
}
settings = Settings.Load(commands[2].Value, binary);
Console.WriteLine("Loading has finished");
}
catch (IOException ex)
{
Console.WriteLine("Settings could not be loaded");
Console.WriteLine("There was an error loading the file");
#if(DEBUG)
Console.WriteLine("Message: {0}\nSource: {1}", ex.Message, ex.Source);
#endif
}
catch (IndexOutOfRangeException ex)
{
Console.WriteLine("Settings could not be loaded");
Console.WriteLine("There was an error in the file file formatting.");
#if(DEBUG)
Console.WriteLine("Message: {0}\nSource: {1}", ex.Message, ex.Source);
#endif
}
}
/// <summary>
/// Saves the NetworkSettings object to a text file.
/// </summary>
/// <param name="settings">The NetworkSettings object to save to disk.</param>
/// <param name="filePath">The location to save the file to.</param>
/// <exception cref="IOException">System.IO.IOException</exception>
private static void SaveText(ref NetworkSettings settings, string filePath)
{
StreamWriter writer = new StreamWriter(filePath);
writer.WriteLine("version:1.0\n");
writer.WriteLine("networkmode:{0}", settings.Mode);
writer.WriteLine("networktype:{0}", settings.NetworkType);
writer.WriteLine("\n#User Defined Binary settings");
writer.WriteLine("\n#Default data types");
writer.WriteLine("inputlayer:{0}", settings.DefaultInputLayer);
writer.WriteLine("node:{0}", settings.DefaultNode);
writer.WriteLine("nodelayer:{0}", settings.DefaultHiddenLayer);
writer.WriteLine("outputlayer:{0}", settings.DefaultOutputLayer);
writer.WriteLine("factory:{0}", settings.DefaultFactory);
writer.WriteLine("\n#Debugging");
writer.WriteLine("enabletiming:{0}", settings.EnableTiming);
writer.WriteLine("\nTraining Settings");
writer.WriteLine("trainingiterations:{0}", settings.TrainingIterations);
writer.WriteLine("trainingaccuracy:{0}", settings.TrainingAccuracy);
writer.WriteLine("trainingpool:{0}", settings.TraininPool);
writer.WriteLine("\n#User Defined Settings");
//Writes all the key-value pairs that couldn't be matched to a settings
//field to disk.
foreach (KeyValuePair<string, string> key in settings.Other)
{
writer.WriteLine("{0}:{1}", key.Key, key.Value);
}
writer.Close();
}
/// <summary>
/// Save the NetworkSettings object to a binary file.
/// </summary>
/// <param name="settings">The NetworkSettings object that will be saved to
/// disk in a binary file.</param>
/// <param name="filePath">The location to save the file.</param>
/// <exception cref="IOException">System.IO.IOException</exception>
private static void SaveBinary(ref NetworkSettings settings, string filePath)
{
Stream fs = new FileStream(filePath, FileMode.OpenOrCreate, FileAccess.Write);
BinaryFormatter binary = new BinaryFormatter();
binary.Serialize(fs, settings);
fs.Close();
}
/// <summary>
/// Loads a settings file and then populates the form fields.
/// </summary>
private void loadMenuItem_Click(object sender, EventArgs e)
{
openSettings.ShowDialog();
try
{
settings = Settings.Load(openSettings.FileName,
openSettings.FileName.EndsWith(".nnsc", true, null));
if (settings.Mode == NetworkMode.Computational)
{
networkMode.SelectedIndex = 1;
}
else
{
networkMode.SelectedIndex = 0;
}
if (settings.NetworkType == NetworkType.Traditional)
{
networkType.SelectedIndex = 0;
}
else
{
networkType.SelectedIndex = 1;
}
defaultInput.Text = settings.DefaultInputLayer;
defaultNode.Text = settings.DefaultNode;
defaultHidden.Text = settings.DefaultHiddenLayer;
defaultOutput.Text = settings.DefaultOutputLayer;
enableTiming.Checked = settings.EnableTiming;
trainingAccuracy.Text = settings.TrainingAccuracy.ToString();
trainingIterations.Text = settings.TrainingIterations.ToString();
trainingPool.Text = settings.TraininPool.ToString();
customParameters.Text = "";
int i = 0;
string[] lines = new string[settings.Other.Count];
foreach (KeyValuePair<string, string> key in settings.Other)
{
lines[i] = key.Key + ":" + key.Value;
i++;
}
customParameters.Lines = lines;
}
catch (IOException ex)
{
MessageBox.Show("The file could not be loaded.");
}
catch (IndexOutOfRangeException ex)
{
MessageBox.Show("The settings file was not properly formated.");
}
catch (Exception ex)
{
MessageBox.Show("There was some unknown error that occured while loading the file.");
}
}
private void MainForm_Load(object sender, EventArgs e)
{
settings = new NetworkSettings();
networkMode.SelectedIndex = 0;
networkType.SelectedIndex = 0;
defaultInput.SelectedIndex = 0;
defaultHidden.SelectedIndex = 0;
defaultOutput.SelectedIndex = 0;
defaultNode.SelectedIndex = 0;
defaultFactory.SelectedIndex = 0;
}
public void LoadText()
{
SetBaseSetting();
testSetting = Settings.Load(basePath + "testSettings.nns");
Assert.IsTrue(baseSetting.Equals(testSetting));
}
public EvolvingNeuralNetwork(NetworkTopology[] topologies, NetworkSettings settings)
{
this.topologies = topologies;
this.settings = settings;
}
/// <summary>
/// Loads a topology from a file into the gui.
/// </summary>
private void LoadTopology(object sender, EventArgs e)
{
openTopology.ShowDialog();
Dictionary<string, IUserObjectFactory> factories = metaData.GetFactories();
NetworkSettings settings = new NetworkSettings();
NetworkTopology topology =
Topology.Load(openTopology.FileName, ref factories, ref settings,
openTopology.FileName.EndsWith(".nntc", true, null));
topologyMetaData = topology.MetaData;
AddPreProcessor(null, null);
GetLayer(0).SetMetaData(topology.PreProcessor.MetaData);
AddInputLayer(null, null);
GetLayer(1).SetMetaData(topology.InputLayer.MetaData);
int row = 2;
for(int i = 0; i < topology.HiddenLayers.Length; i++)
{
AddHiddenLayer(null, null);
HiddenLayerView layer = (HiddenLayerView)GetLayer(row);
layer.SetMetaData(topology.HiddenLayers[i].MetaData);
currentSelectedLayer = layer;
row++;
}
AddOutputLayer(null, null);
AddPostProcessor(null, null);
}
public NeuralNetwork(NetworkTopology topology, NetworkSettings settings)
{
this.topology = topology;
this.settings = settings;
}
/// <summary>
/// Creates a NetworkTopology from a text file.
/// </summary>
/// <param name="file">The location of the file to read from.</param>
/// <param name="objectFactories">The object factories that will
/// be used to tranform the text types into objects.</param>
/// <param name="settings">The currently loaded NetworkSettings.</param>
/// <returns>Returns the NetworkTopology located inside of the file.
/// If the file can not be parsed null is returned.</returns>
/// <exception cref="IOException">System.IO.IOException</exception>
private static NetworkTopology LoadText(
string file,
ref Dictionary<string, IUserObjectFactory> objectFactories,
ref NetworkSettings settings)
{
//Check to varify that the file can be loaded.
if (GetVersion(file) != "1.0") return null;
NetworkTopology topology = new NetworkTopology();
//Retrieves the RawTypes from the file
List<RawType> rawTypes = GetRawTypes(file);
Dictionary<string, IHiddenLayer> hiddenLayers = new Dictionary<string, IHiddenLayer>();
//Factory to create the object with
string factoryName;
//Transforms all the rawTypes into objects
for (int i = 0; i < rawTypes.Count; i++)
{
factoryName = settings.DefaultFactory;
if (rawTypes[i].Fields.ContainsKey("factory")) factoryName = rawTypes[i].Fields["factory"];
if (rawTypes[i].Type == "layer")
{
if (rawTypes[i].Fields["type"] == "hidden")
{
hiddenLayers.Add(rawTypes[i].Fields["layerName"],
objectFactories[factoryName].CreateUserObject<IHiddenLayer>(
rawTypes[i].Fields["dataType"],
rawTypes[i].Fields));
}
else if (rawTypes[i].Fields["type"] == "output")
{
topology.OutputLayer =
objectFactories[factoryName].CreateUserObject<IOutputLayer>(
rawTypes[i].Fields["dataType"], rawTypes[i].Fields);
}
else if (rawTypes[i].Fields["type"] == "input")
{
topology.InputLayer =
objectFactories[factoryName].CreateUserObject<IInputLayer>(
rawTypes[i].Fields["dataType"], rawTypes[i].Fields);
}
}
else if (rawTypes[i].Type == "node")
{
INode node = objectFactories[factoryName].CreateUserObject<INode>(
rawTypes[i].Fields["dataType"], rawTypes[i].Fields);
if (hiddenLayers.ContainsKey(rawTypes[i].Fields["layer"]))
{
hiddenLayers[rawTypes[i].Fields["layer"]].SetNode(node, -1);
}
}
else if (rawTypes[i].Type == "preprocessor")
{
topology.PreProcessor =
objectFactories[factoryName].CreateUserObject<IPreProcessor>(
rawTypes[i].Fields["dataType"], rawTypes[i].Fields);
if(settings.Mode == NetworkMode.Training)
topology.TrainingPreProcessor =
objectFactories[factoryName].CreateUserObject<ITrainingPreProcessor>(
rawTypes[i].Fields["dataType"], rawTypes[i].Fields);
}
else if (rawTypes[i].Type == "postprocessor")
{
topology.PostProcessor = objectFactories[factoryName].
CreateUserObject<IPostProcessor>(rawTypes[i].Fields["dataType"], rawTypes[i].Fields);
}
else if (rawTypes[i].Type == "topology")
{
topology.MetaData = rawTypes[i].Fields;
if(!rawTypes[i].Fields.ContainsKey("algorithmFactory"))
{
rawTypes[i].Fields.Add("algorithmFactory", factoryName);
}
topology.TrainingAlgorithm = objectFactories[rawTypes[i].Fields["algorithmFactory"]].
CreateUserObject<ITrainingAlgorithm>(
rawTypes[i].Fields["trainingAlgorithm"],
rawTypes[i].Fields);
}
}
//This tranformation is required because nodes are linked to hidden layers
//by names. The name of the layer is the key in the dictionary.
IHiddenLayer[] layer = new IHiddenLayer[hiddenLayers.Count];
int j = 0;
foreach (KeyValuePair<string, IHiddenLayer> temp in hiddenLayers)
{
layer[j] = temp.Value;
j++;
}
topology.HiddenLayers = layer;
return topology;
}
public void SetUp()
{
basePath = "C:\\Development Projects\\ENN\\TestSuite\\TestFiles\\";
objectFactory = new Dictionary<string, IUserObjectFactory>()
{
{"standard", new StandLibFactory()},
{"TestBinary", new TestBinary()}
};
settings = new NetworkSettings();
settings.Mode = NetworkMode.Training;
baseTopology = new NetworkTopology();
}
/// <summary>
/// Loads NetworkSettings from a text file. Determines the settings version to load.
/// </summary>
/// <param name="filePath">The file path to the settings file.</param>
/// <returns>Returns the NetworkSettings that were loaded from the file. Returns null
/// if the file could no be parsed.</returns>
/// <exception cref="IOException">System.IO.IOException</exception>
private static NetworkSettings LoadText(string filePath)
{
NetworkSettings settings = new NetworkSettings();
//strips the key-value pairs out of the text file
Dictionary<string, string> raw = rawText(filePath);
if (raw.Count == 0) return null;
//if know version was specified then the latest file version is specified
if (!raw.ContainsKey("version")) raw.Add("version", "1.0");
if (raw["version"] != "1.0") return null;
raw.Remove("version");
//parses the key-value pairs by maping the key to the proper settings field
foreach (KeyValuePair<string, string> key in raw)
{
switch (key.Key)
{
case "networkmode":
if (key.Value == "training")
{
settings.Mode = NetworkMode.Training;
}
else
{
settings.Mode = NetworkMode.Computational;
}
break;
case "networktype":
if (key.Value == "traditional")
{
settings.NetworkType = NetworkType.Traditional;
}
else
{
settings.NetworkType = NetworkType.Evolving;
}
break;
case "inputlayer":
settings.DefaultInputLayer = key.Value;
break;
case "node":
settings.DefaultNode = key.Value;
break;
case "nodelayer":
settings.DefaultHiddenLayer = key.Value;
break;
case "outputlayer":
settings.DefaultOutputLayer = key.Value;
break;
case "factory":
settings.DefaultFactory = key.Value;
break;
case "enabletiming":
settings.EnableTiming = (key.Value.ToLower() == "true");
break;
case "trainingaccuracy":
float trainAccuracy = 0;
float.TryParse(key.Value, out trainAccuracy);
settings.TrainingAccuracy = trainAccuracy;
break;
case "trainingiterations":
int iterations = 0;
int.TryParse(key.Value, out iterations);
settings.TrainingIterations = iterations;
break;
case "trainingpool":
int pool = 0;
int.TryParse(key.Value, out pool);
settings.TraininPool = pool;
break;
default:
//if no field is found to place the value into then it is
//added to the catch-all Other field
settings.Other.Add(key.Key, key.Value);
break;
}
}
return settings;
}
public UpdateTool(ref NetworkSettings settings,
ref Dictionary<string, NetworkTopology> topologies)
{
this.settings = settings;
this.topologies = topologies;
}
/// <summary>
/// Sets the base settings values for the training algorithm
/// </summary>
/// <param name="settings">The network settings of the network that is
/// calling the class.</param>
public void SetSettings(NetworkSettings settings)
{
this.settings = settings;
if (settings.Other.ContainsKey("startlayerindex"))
int.TryParse(settings.Other["startlayerindex"], out layerIndex);
if (settings.Other.ContainsKey("startnodeindex"))
int.TryParse(settings.Other["startnodeindex"], out nodeIndex);
if (settings.Other.ContainsKey("basestepvalue"))
float.TryParse(settings.Other["basestepvalue"], out stepValue);
if (stepValue == 0) stepValue = 1;
if (settings.Other.ContainsKey("maxflips"))
int.TryParse(settings.Other["maxflips"], out maxFlips);
if (maxFlips == 0) maxFlips = 20;
}
public NeuralNetwork(NetworkTopology topology, NetworkSettings settings)
{
this.topology = topology;
this.settings = settings;
}
public EvolvingNeuralNetwork(NetworkTopology[] topologies, NetworkSettings settings)
{
this.topologies = topologies;
this.settings = settings;
}
