/// <inheritdoc/> public Object Read(Stream mask0) { var result = new TrainingContinuation(); var ins0 = new EncogReadHelper(mask0); EncogFileSection section; while ((section = ins0.ReadNextSection()) != null) { if (section.SectionName.Equals("CONT") && section.SubSectionName.Equals("PARAMS")) { IDictionary <String, String> paras = section.ParseParams(); foreach (String key in paras.Keys) { if (key.Equals("type", StringComparison.InvariantCultureIgnoreCase)) { result.TrainingType = paras[key]; } else { double[] list = EncogFileSection .ParseDoubleArray(paras, key); result.Put(key, list); } } } } return(result); }
/// <inheritdoc/> public Object Read(Stream mask0) { var result = new SupportVectorMachine(); var ins0 = new EncogReadHelper(mask0); EncogFileSection section; while ((section = ins0.ReadNextSection()) != null) { if (section.SectionName.Equals("SVM") && section.SubSectionName.Equals("PARAMS")) { IDictionary <String, String> paras = section.ParseParams(); EngineArray.PutAll(paras, result.Properties); } if (section.SectionName.Equals("SVM") && section.SubSectionName.Equals("SVM-PARAM")) { IDictionary <String, String> p = section.ParseParams(); result.InputCount = EncogFileSection.ParseInt(p, PersistConst.InputCount); result.Params.C = EncogFileSection.ParseDouble(p, ParamC); result.Params.cache_size = EncogFileSection.ParseDouble( p, ParamCacheSize); result.Params.coef0 = EncogFileSection.ParseDouble(p, ParamCoef0); result.Params.degree = EncogFileSection.ParseDouble(p, ParamDegree); result.Params.eps = EncogFileSection.ParseDouble(p, ParamEps); result.Params.gamma = EncogFileSection.ParseDouble(p, ParamGamma); result.Params.kernel_type = EncogFileSection.ParseInt( p, ParamKernelType); result.Params.nr_weight = EncogFileSection.ParseInt( p, ParamNumWeight); result.Params.nu = EncogFileSection.ParseDouble(p, ParamNu); result.Params.p = EncogFileSection.ParseDouble(p, ParamP); result.Params.probability = EncogFileSection.ParseInt( p, ParamProbability); result.Params.shrinking = EncogFileSection.ParseInt( p, ParamShrinking); /*result.Params.statIterations = Encog.Persist.EncogFileSection.ParseInt( * params_0, PersistSVM.PARAM_START_ITERATIONS);*/ result.Params.svm_type = EncogFileSection.ParseInt(p, ParamSVMType); result.Params.weight = EncogFileSection.ParseDoubleArray( p, ParamWeight); result.Params.weight_label = EncogFileSection .ParseIntArray(p, ParamWeightLabel); } else if (section.SectionName.Equals("SVM") && section.SubSectionName.Equals("SVM-MODEL")) { try { #if !SILVERLIGHT var rdr = new StringReader( section.LinesAsString); TextReader br = rdr; svm_model model = svm.svm_load_model(rdr); result.Model = model; br.Close(); rdr.Close(); #endif } catch (IOException ex) { throw new PersistError(ex); } } } return(result); }
/// <summary> /// Read an object. /// </summary> /// public Object Read(Stream mask0) { var result = new BasicNetwork(); var flat = new FlatNetwork(); var ins0 = new EncogReadHelper(mask0); EncogFileSection section; while ((section = ins0.ReadNextSection()) != null) { if (section.SectionName.Equals("BASIC") && section.SubSectionName.Equals("PARAMS")) { IDictionary <String, String> paras = section.ParseParams(); EngineArray.PutAll(paras, result.Properties); } if (section.SectionName.Equals("BASIC") && section.SubSectionName.Equals("NETWORK")) { IDictionary <String, String> p = section.ParseParams(); flat.BeginTraining = EncogFileSection.ParseInt(p, BasicNetwork.TagBeginTraining); flat.ConnectionLimit = EncogFileSection.ParseDouble(p, BasicNetwork.TagConnectionLimit); flat.ContextTargetOffset = EncogFileSection.ParseIntArray( p, BasicNetwork.TagContextTargetOffset); flat.ContextTargetSize = EncogFileSection.ParseIntArray( p, BasicNetwork.TagContextTargetSize); flat.EndTraining = EncogFileSection.ParseInt(p, BasicNetwork.TagEndTraining); flat.HasContext = EncogFileSection.ParseBoolean(p, BasicNetwork.TagHasContext); flat.InputCount = EncogFileSection.ParseInt(p, PersistConst.InputCount); flat.LayerCounts = EncogFileSection.ParseIntArray(p, BasicNetwork.TagLayerCounts); flat.LayerFeedCounts = EncogFileSection.ParseIntArray(p, BasicNetwork.TagLayerFeedCounts); flat.LayerContextCount = EncogFileSection.ParseIntArray( p, BasicNetwork.TagLayerContextCount); flat.LayerIndex = EncogFileSection.ParseIntArray(p, BasicNetwork.TagLayerIndex); flat.LayerOutput = EncogFileSection.ParseDoubleArray(p, PersistConst.Output); flat.LayerSums = new double[flat.LayerOutput.Length]; flat.OutputCount = EncogFileSection.ParseInt(p, PersistConst.OutputCount); flat.WeightIndex = EncogFileSection.ParseIntArray(p, BasicNetwork.TagWeightIndex); flat.Weights = EncogFileSection.ParseDoubleArray(p, PersistConst.Weights); flat.BiasActivation = EncogFileSection.ParseDoubleArray( p, BasicNetwork.TagBiasActivation); } else if (section.SectionName.Equals("BASIC") && section.SubSectionName.Equals("ACTIVATION")) { int index = 0; flat.ActivationFunctions = new IActivationFunction[flat.LayerCounts.Length]; foreach (String line in section.Lines) { IActivationFunction af; IList <String> cols = EncogFileSection .SplitColumns(line); String name = ReflectionUtil.AfPath + cols[0]; try { af = (IActivationFunction)ReflectionUtil.LoadObject(name); } catch (TypeLoadException e) { throw new PersistError(e); } catch (TargetException e) { throw new PersistError(e); } catch (MemberAccessException e) { throw new PersistError(e); } for (int i = 0; i < af.ParamNames.Length; i++) { af.Params[i] = CSVFormat.EgFormat.Parse(cols[i + 1]); } flat.ActivationFunctions[index++] = af; } } } result.Structure.Flat = flat; return(result); }
/// <summary> /// Read an object. /// </summary> public Object Read(Stream mask0) { var ins0 = new EncogReadHelper(mask0); EncogFileSection section; var samples = new BasicMLDataSet(); IDictionary <String, String> networkParams = null; PNNKernelType kernel = default(PNNKernelType) /* was: null */; PNNOutputMode outmodel = default(PNNOutputMode) /* was: null */; int inputCount = 0; int outputCount = 0; double error = 0; double[] sigma = null; while ((section = ins0.ReadNextSection()) != null) { if (section.SectionName.Equals("PNN") && section.SubSectionName.Equals("PARAMS")) { networkParams = section.ParseParams(); } if (section.SectionName.Equals("PNN") && section.SubSectionName.Equals("NETWORK")) { IDictionary <String, String> paras = section.ParseParams(); inputCount = EncogFileSection.ParseInt(paras, PersistConst.InputCount); outputCount = EncogFileSection.ParseInt(paras, PersistConst.OutputCount); kernel = StringToKernel(paras[PersistConst.Kernel]); outmodel = StringToOutputMode(paras[PropertyOutputMode]); error = EncogFileSection .ParseDouble(paras, PersistConst.Error); sigma = EncogFileSection.ParseDoubleArray(paras, PersistConst.Sigma); } if (section.SectionName.Equals("PNN") && section.SubSectionName.Equals("SAMPLES")) { foreach (String line in section.Lines) { IList <String> cols = EncogFileSection .SplitColumns(line); int index = 0; IMLData inputData = new BasicMLData(inputCount); for (int i = 0; i < inputCount; i++) { inputData[i] = CSVFormat.EgFormat.Parse(cols[index++]); } IMLData idealData = new BasicMLData(inputCount); for (int i = 0; i < outputCount; i++) { idealData[i] = CSVFormat.EgFormat.Parse(cols[index++]); } IMLDataPair pair = new BasicMLDataPair(inputData, idealData); samples.Add(pair); } } } var result = new BasicPNN(kernel, outmodel, inputCount, outputCount); if (networkParams != null) { EngineArray.PutAll(networkParams, result.Properties); } result.Samples = samples; result.Error = error; if (sigma != null) { EngineArray.ArrayCopy(sigma, result.Sigma); } return(result); }