/// <summary> /// Construct a buffered dataset using the specified file. /// </summary> /// <param name="binaryFile">The file to read/write binary data to/from.</param> public BufferedMLDataSet(String binaryFile) { _file = binaryFile; _egb = new EncogEGBFile(binaryFile); if (File.Exists(_file)) { _egb.Open(); } }
/// <summary> /// Convert an Encog binary file to an external form, such as CSV. /// </summary> /// <param name="binaryFile">THe binary file to use.</param> public void Binary2External(String binaryFile) { Status.Report(0, 0, "Exporting binary file: " + binaryFile); var egb = new EncogEGBFile(binaryFile); egb.Open(); _codec.PrepareWrite(egb.NumberOfRecords, egb.InputCount, egb.IdealCount); int inputCount = egb.InputCount; int idealCount = egb.IdealCount; var input = new double[inputCount]; var ideal = new double[idealCount]; int currentRecord = 0; int lastUpdate = 0; // now load the data for (int i = 0; i < egb.NumberOfRecords; i++) { for (int j = 0; j < inputCount; j++) { input[j] = egb.Read(); } for (int j = 0; j < idealCount; j++) { ideal[j] = egb.Read(); } double significance = egb.Read(); _codec.Write(input, ideal, significance); currentRecord++; lastUpdate++; if (lastUpdate >= 10000) { lastUpdate = 0; Status.Report(egb.NumberOfRecords, currentRecord, "Exporting..."); } } egb.Close(); _codec.Close(); Status.Report(0, 0, "Done exporting binary file: " + binaryFile); }
public BufferedMLDataSet(string binaryFile) { if (0 == 0) { if (0 != 0) { return; } this.xb44380e048627945 = binaryFile; } this.xb77060c140f92cfd = new EncogEGBFile(binaryFile); if ((15 == 0) || File.Exists(this.xb44380e048627945)) { this.xb77060c140f92cfd.Open(); } }
public override sealed bool ExecuteCommand(string args) { FileInfo info2; string str3; string str4; EncogEGBFile file; int inputCount; int num2; string propertyString = base.Prop.GetPropertyString("ML:CONFIG_trainingFile"); if (0x7fffffff != 0) { FileInfo info; string sourceID = base.Prop.GetPropertyString("ML:CONFIG_machineLearningFile"); if (((uint) num2) <= uint.MaxValue) { info = base.Script.ResolveFilename(propertyString); info2 = base.Script.ResolveFilename(sourceID); } str3 = base.Prop.GetPropertyString("ML:CONFIG_type"); str4 = base.Prop.GetPropertyString("ML:CONFIG_architecture"); EncogLogging.Log(0, "Beginning create"); EncogLogging.Log(0, "training file:" + propertyString); EncogLogging.Log(0, "resource file:" + sourceID); EncogLogging.Log(0, "type:" + str3); EncogLogging.Log(0, "arch:" + str4); file = new EncogEGBFile(info.ToString()); goto Label_00A6; } Label_002E: num2 = file.IdealCount; file.Close(); IMLMethod method = new MLMethodFactory().Create(str3, str4, inputCount, num2); if ((((uint) inputCount) + ((uint) num2)) >= 0) { if (1 != 0) { } EncogDirectoryPersistence.SaveObject(info2, method); return false; } Label_00A6: file.Open(); inputCount = file.InputCount; goto Label_002E; }
/// <inheritdoc /> public override sealed bool ExecuteCommand(String args) { // get filenames String trainingID = Prop.GetPropertyString( ScriptProperties.MlConfigTrainingFile); String resourceID = Prop.GetPropertyString( ScriptProperties.MlConfigMachineLearningFile); FileInfo trainingFile = Script.ResolveFilename(trainingID); FileInfo resourceFile = Script.ResolveFilename(resourceID); String type = Prop.GetPropertyString( ScriptProperties.MlConfigType); String arch = Prop.GetPropertyString( ScriptProperties.MlConfigArchitecture); EncogLogging.Log(EncogLogging.LevelDebug, "Beginning create"); EncogLogging.Log(EncogLogging.LevelDebug, "training file:" + trainingID); EncogLogging.Log(EncogLogging.LevelDebug, "resource file:" + resourceID); EncogLogging.Log(EncogLogging.LevelDebug, "type:" + type); EncogLogging.Log(EncogLogging.LevelDebug, "arch:" + arch); var egb = new EncogEGBFile(trainingFile.ToString()); egb.Open(); int input = egb.InputCount; int ideal = egb.IdealCount; egb.Close(); var factory = new MLMethodFactory(); IMLMethod obj = factory.Create(type, arch, input, ideal); if (obj is BayesianNetwork) { string query = Prop.GetPropertyString(ScriptProperties.MLConfigQuery); ((BayesianNetwork) obj).DefineClassificationStructure(query); } EncogDirectoryPersistence.SaveObject(resourceFile, obj); return false; }
/// <summary> /// Close the dataset. /// </summary> public void Close() { Object[] obj = _additional.ToArray(); foreach (var set in obj.Cast <BufferedMLDataSet>()) { set.Close(); } _additional.Clear(); if (_owner != null) { _owner.RemoveAdditional(this); } _egb.Close(); _egb = null; }
/// <summary> /// Convert an external file format, such as CSV, to the Encog binary /// training format. /// </summary> /// <param name="binaryFile">The binary file to create.</param> public void External2Binary(String binaryFile) { Status.Report(0, 0, "Importing to binary file: " + binaryFile); var egb = new EncogEGBFile(binaryFile); egb.Create(_codec.InputSize, _codec.IdealSize); var input = new double[_codec.InputSize]; var ideal = new double[_codec.IdealSize]; _codec.PrepareRead(); int currentRecord = 0; int lastUpdate = 0; double significance = 0; while (_codec.Read(input, ideal, ref significance)) { egb.Write(input); egb.Write(ideal); currentRecord++; lastUpdate++; if (lastUpdate >= 10000) { lastUpdate = 0; Status.Report(0, currentRecord, "Importing..."); } egb.Write(significance); } egb.Close(); _codec.Close(); Status.Report(0, 0, "Done importing to binary file: " + binaryFile); }
/// <summary> /// Convert an external file format, such as CSV, to the Encog binary /// training format. /// </summary> /// <param name="binaryFile">The binary file to create.</param> public void External2Binary(String binaryFile) { Status.Report(0, 0, "Importing to binary file: " + binaryFile); var egb = new EncogEGBFile(binaryFile); egb.Create(_codec.InputSize, _codec.IdealSize); var input = new double[_codec.InputSize]; var ideal = new double[_codec.IdealSize]; _codec.PrepareRead(); int currentRecord = 0; int lastUpdate = 0; double significance = 0; while (_codec.Read(input, ideal, ref significance)) { egb.Write(input); egb.Write(ideal); currentRecord++; lastUpdate++; if (lastUpdate >= 10000) { lastUpdate = 0; Status.Report(0, currentRecord, "Importing..."); } egb.Write(significance); } egb.Close(); _codec.Close(); Status.Report(0, 0, "Done importing to binary file: " + binaryFile); }
/// <summary> /// Close the dataset. /// </summary> public void Close() { Object[] obj = _additional.ToArray(); foreach (var set in obj.Cast<BufferedMLDataSet>()) { set.Close(); } _additional.Clear(); if (_owner != null) { _owner.RemoveAdditional(this); } _egb.Close(); _egb = null; }
/// <summary> /// Construct a buffered dataset using the specified file. /// </summary> /// <param name="binaryFile">The file to read/write binary data to/from.</param> public BufferedMLDataSet(String binaryFile) { _file = binaryFile; _egb = new EncogEGBFile(binaryFile); if (File.Exists(_file)) { _egb.Open(); } }
public void Binary2External(string binaryFile) { EncogEGBFile file; int inputCount; int idealCount; double[] numArray; double[] numArray2; int num3; int num5; int num6; int num7; this.Status.Report(0, 0, "Exporting binary file: " + binaryFile); if (0 == 0) { file = new EncogEGBFile(binaryFile); goto Label_0283; } goto Label_0256; Label_008A: if (num5 < file.NumberOfRecords) { num6 = 0; if ((((uint) num3) - ((uint) idealCount)) >= 0) { goto Label_01BF; } goto Label_0210; } file.Close(); this._x75d376891c19d365.Close(); this.Status.Report(0, 0, "Done exporting binary file: " + binaryFile); return; Label_0105: if (num7 < idealCount) { goto Label_0142; } if ((((uint) num7) + ((uint) num5)) <= uint.MaxValue) { goto Label_016E; } Label_0122: num7 = 0; goto Label_0105; Label_0142: numArray2[num7] = file.Read(); Label_014D: num7++; if ((((uint) num7) | 0xfffffffe) != 0) { if ((((uint) num6) + ((uint) num6)) > uint.MaxValue) { if ((((uint) num7) - ((uint) num3)) < 0) { goto Label_0283; } goto Label_0142; } goto Label_0105; } Label_016E: if (((uint) num3) >= 0) { goto Label_0244; } if ((((uint) num5) | 2) != 0) { goto Label_01FD; } if (((uint) num7) >= 0) { goto Label_01C6; } Label_01BF: while (num6 < inputCount) { numArray[num6] = file.Read(); num6++; } goto Label_0210; Label_01C6: if (((uint) idealCount) < 0) { goto Label_014D; } goto Label_008A; Label_01FD: numArray2 = new double[idealCount]; num3 = 0; int num4 = 0; num5 = 0; goto Label_01C6; Label_0210: if ((((uint) num5) | 15) != 0) { goto Label_0122; } Label_0244: if (((uint) num7) <= uint.MaxValue) { double significance = file.Read(); this._x75d376891c19d365.Write(numArray, numArray2, significance); num3++; if ((((uint) num5) | uint.MaxValue) == 0) { goto Label_01FD; } num4++; if (num4 >= 0x2710) { num4 = 0; if ((((uint) num4) + ((uint) num5)) < 0) { goto Label_0142; } this.Status.Report(file.NumberOfRecords, num3, "Exporting..."); } num5++; goto Label_008A; } Label_0256: this._x75d376891c19d365.PrepareWrite(file.NumberOfRecords, file.InputCount, file.IdealCount); inputCount = file.InputCount; idealCount = file.IdealCount; numArray = new double[inputCount]; goto Label_01FD; Label_0283: file.Open(); goto Label_0256; }
public void External2Binary(string binaryFile) { EncogEGBFile file; double[] numArray; double[] numArray2; int num; int num2; double num3; this.Status.Report(0, 0, "Importing to binary file: " + binaryFile); goto Label_0106; Label_0038: file.Write(num3); Label_0040: if (this._x75d376891c19d365.Read(numArray, numArray2, ref num3)) { file.Write(numArray); file.Write(numArray2); num++; num2++; } else { file.Close(); this._x75d376891c19d365.Close(); this.Status.Report(0, 0, "Done importing to binary file: " + binaryFile); return; } Label_0082: if (num2 >= 0x2710) { do { num2 = 0; } while (0 != 0); this.Status.Report(0, num, "Importing..."); if (((uint) num) > uint.MaxValue) { goto Label_0082; } } else { goto Label_0038; } if ((((uint) num) + ((uint) num2)) > uint.MaxValue) { goto Label_010D; } goto Label_0038; Label_0106: file = new EncogEGBFile(binaryFile); Label_010D: file.Create(this._x75d376891c19d365.InputSize, this._x75d376891c19d365.IdealSize); numArray = new double[this._x75d376891c19d365.InputSize]; numArray2 = new double[this._x75d376891c19d365.IdealSize]; this._x75d376891c19d365.PrepareRead(); num = 0; num2 = 0; if ((((uint) num2) + ((uint) num2)) >= 0) { num3 = 0.0; goto Label_0040; } goto Label_0106; }
/// <summary> /// Convert an Encog binary file to an external form, such as CSV. /// </summary> /// <param name="binaryFile">THe binary file to use.</param> public void Binary2External(String binaryFile) { Status.Report(0, 0, "Exporting binary file: " + binaryFile); var egb = new EncogEGBFile(binaryFile); egb.Open(); _codec.PrepareWrite(egb.NumberOfRecords, egb.InputCount, egb.IdealCount); int inputCount = egb.InputCount; int idealCount = egb.IdealCount; var input = new double[inputCount]; var ideal = new double[idealCount]; int currentRecord = 0; int lastUpdate = 0; // now load the data for (int i = 0; i < egb.NumberOfRecords; i++) { for (int j = 0; j < inputCount; j++) { input[j] = egb.Read(); } for (int j = 0; j < idealCount; j++) { ideal[j] = egb.Read(); } double significance = egb.Read(); _codec.Write(input, ideal, significance); currentRecord++; lastUpdate++; if (lastUpdate >= 10000) { lastUpdate = 0; Status.Report(egb.NumberOfRecords, currentRecord, "Exporting..."); } } egb.Close(); _codec.Close(); Status.Report(0, 0, "Done exporting binary file: " + binaryFile); }
public void Close() { object[] source = this.xaa0d3e5126463e13.ToArray<BufferedMLDataSet>(); Label_0040: foreach (BufferedMLDataSet set in source.Cast<BufferedMLDataSet>()) { set.Close(); } this.xaa0d3e5126463e13.Clear(); Label_002C: if (this._x071bde1041617fce != null) { this._x071bde1041617fce.RemoveAdditional(this); if (-2147483648 == 0) { goto Label_002C; } if (0 == 0) { if (-2147483648 == 0) { return; } } else { goto Label_0040; } } this.xb77060c140f92cfd.Close(); this.xb77060c140f92cfd = null; if (1 != 0) { return; } goto Label_0040; }