C# Persist.EncogWriteHelper类代码示例

        /// <summary>
        /// Save the script to a stream.
        /// </summary>
        ///
        /// <param name="stream">The output stream.</param>
        public void Save(Stream stream)
        {
            var xout = new EncogWriteHelper(stream);
            SaveSubSection(xout, "HEADER", "DATASOURCE");
            SaveConfig(xout);

            if (_script.Fields != null)
            {
                SaveData(xout);
                SaveNormalize(xout);
            }

            SaveSubSection(xout, "RANDOMIZE", "CONFIG");
            SaveSubSection(xout, "CLUSTER", "CONFIG");
            SaveSubSection(xout, "BALANCE", "CONFIG");

            if (_script.Segregate.SegregateTargets != null)
            {
                SaveSegregate(xout);
            }
            SaveSubSection(xout, "GENERATE", "CONFIG");
            SaveMachineLearning(xout);
            SaveTasks(xout);
            xout.Flush();
        }

 public void Save(Stream stream)
 {
     EncogWriteHelper helper = new EncogWriteHelper(stream);
     if (0 == 0)
     {
         this.x4ec53e22935ca8a4(helper, "HEADER", "DATASOURCE");
         goto Label_00BF;
     }
     Label_000D:
     this.xb65907545d46dd44(helper);
     this.x3d1973763c1ba5f6(helper);
     helper.Flush();
     return;
     Label_0094:
     this.x4ec53e22935ca8a4(helper, "RANDOMIZE", "CONFIG");
     if (-2 == 0)
     {
         goto Label_00C8;
     }
     goto Label_00DD;
     Label_00BF:
     this.x2cf4bfede7840d5b(helper);
     if (this._x594135906c55045c.Fields == null)
     {
         goto Label_0094;
     }
     Label_00C8:
     this.x80a029c2a0fbca61(helper);
     this.x6f59fa9537dbb843(helper);
     if (2 != 0)
     {
         if (0 != 0)
         {
             goto Label_00BF;
         }
         goto Label_0094;
     }
     Label_00DD:
     if (0 == 0)
     {
         this.x4ec53e22935ca8a4(helper, "CLUSTER", "CONFIG");
         this.x4ec53e22935ca8a4(helper, "BALANCE", "CONFIG");
         if (this._x594135906c55045c.Segregate.SegregateTargets != null)
         {
             this.x312a5c458079831e(helper);
         }
         else if (0 != 0)
         {
             goto Label_00BF;
         }
         this.x4ec53e22935ca8a4(helper, "GENERATE", "CONFIG");
     }
     goto Label_000D;
 }

        /// <inheritdoc/>
        public void Save(Stream os, Object obj)
        {
            var xout = new EncogWriteHelper(os);
            var art1 = (ART1) obj;
            xout.AddSection("ART1");
            xout.AddSubSection("PARAMS");
            xout.AddProperties(art1.Properties);
            xout.AddSubSection("NETWORK");

            xout.WriteProperty(BasicART.PropertyA1, art1.A1);
            xout.WriteProperty(BasicART.PropertyB1, art1.B1);
            xout.WriteProperty(BasicART.PropertyC1, art1.C1);
            xout.WriteProperty(BasicART.PropertyD1, art1.D1);
            xout.WriteProperty(PersistConst.PropertyF1Count, art1.F1Count);
            xout.WriteProperty(PersistConst.PropertyF2Count, art1.F2Count);
            xout.WriteProperty(BasicART.PropertyNoWinner, art1.NoWinner);
            xout.WriteProperty(BasicART.PropertyL, art1.L);
            xout.WriteProperty(BasicART.PropertyVigilance, art1.Vigilance);
            xout.WriteProperty(PersistConst.PropertyWeightsF1F2,
                               art1.WeightsF1ToF2);
            xout.WriteProperty(PersistConst.PropertyWeightsF2F1,
                               art1.WeightsF2ToF1);

            xout.Flush();
        }

        /// <inheritdoc/>
        public void Save(Stream os, Object obj)
        {
            var xout = new EncogWriteHelper(os);
            var svm2 = (SupportVectorMachine) obj;
            xout.AddSection("SVM");
            xout.AddSubSection("PARAMS");
            xout.AddProperties(svm2.Properties);
            xout.AddSubSection("SVM-PARAM");
            xout.WriteProperty(PersistConst.InputCount, svm2.InputCount);
            xout.WriteProperty(ParamC, svm2.Params.C);
            xout.WriteProperty(ParamCacheSize,
                               svm2.Params.cache_size);
            xout.WriteProperty(ParamCoef0, svm2.Params.coef0);
            xout.WriteProperty(ParamDegree, svm2.Params.degree);
            xout.WriteProperty(ParamEps, svm2.Params.eps);
            xout.WriteProperty(ParamGamma, svm2.Params.gamma);
            xout.WriteProperty(ParamKernelType,
                               svm2.Params.kernel_type);
            xout.WriteProperty(ParamNumWeight,
                               svm2.Params.nr_weight);
            xout.WriteProperty(ParamNu, svm2.Params.nu);
            xout.WriteProperty(ParamP, svm2.Params.p);
            xout.WriteProperty(ParamProbability,
                               svm2.Params.probability);
            xout.WriteProperty(ParamShrinking,
                               svm2.Params.shrinking);
            /* xout.WriteProperty(PersistSVM.PARAM_START_ITERATIONS,
                    svm2.Params.statIterations); */
            xout.WriteProperty(ParamSVMType, svm2.Params.svm_type);
            xout.WriteProperty(ParamWeight, svm2.Params.weight);
            xout.WriteProperty(ParamWeightLabel,
                               svm2.Params.weight_label);
            if (svm2.Model != null)
            {
                xout.AddSubSection("SVM-MODEL");
                try
                {
                    var ba = new MemoryStream();
                    var w = new StreamWriter(ba);
                    svm.svm_save_model(w, svm2.Model);
                    var enc = new ASCIIEncoding();
                    xout.Write(enc.GetString(ba.ToArray()));
                    w.Close();
                    ba.Close();
                }
                catch (IOException ex)
                {
                    throw new PersistError(ex);
                }
            }

            xout.Flush();
        }

 public void Save(Stream os, object obj)
 {
     CPNNetwork network;
     EncogWriteHelper helper = new EncogWriteHelper(os);
     if (0 == 0)
     {
         network = (CPNNetwork) obj;
         goto Label_00A8;
     }
     Label_000D:
     helper.WriteProperty("inputToInstar", network.WeightsInputToInstar);
     helper.WriteProperty("instarToInput", network.WeightsInstarToOutstar);
     helper.WriteProperty("winnerCount", network.WinnerCount);
     if (-1 != 0)
     {
         helper.Flush();
         return;
     }
     Label_0052:
     helper.AddProperties(network.Properties);
     if (0 == 0)
     {
         helper.AddSubSection("NETWORK");
         helper.WriteProperty("inputCount", network.InputCount);
         helper.WriteProperty("instar", network.InstarCount);
         helper.WriteProperty("outputCount", network.OutputCount);
         goto Label_00C5;
     }
     Label_00A8:
     helper.AddSection("CPN");
     helper.AddSubSection("PARAMS");
     if (15 != 0)
     {
         goto Label_0052;
     }
     Label_00C5:
     if (0 == 0)
     {
         goto Label_000D;
     }
 }

        /// <summary>
        /// Save a subsection.
        /// </summary>
        ///
        /// <param name="xout">The output file.</param>
        /// <param name="section">The section.</param>
        /// <param name="subSection">The subsection.</param>
        private void SaveSubSection(EncogWriteHelper xout,
                                    String section, String subSection)
        {
            if (!section.Equals(xout.CurrentSection))
            {
                xout.AddSection(section);
            }
            xout.AddSubSection(subSection);
            List<PropertyEntry> list = PropertyConstraints.Instance
                .GetEntries(section, subSection);
            list.Sort();

            foreach (PropertyEntry entry  in  list)
            {
                String key = section + ":" + subSection + "_"
                             + entry.Name;
                String v = _script.Properties.GetPropertyString(
                    key);
                xout.WriteProperty(entry.Name, v ?? "");
            }
        }

        /// <summary>
        /// Save the normalization data.
        /// </summary>
        ///
        /// <param name="xout">The output file.</param>
        private void SaveNormalize(EncogWriteHelper xout)
        {
            SaveSubSection(xout, "NORMALIZE", "CONFIG");

            xout.AddSubSection("RANGE");
            xout.AddColumn("name");
            xout.AddColumn("io");
            xout.AddColumn("timeSlice");
            xout.AddColumn("action");
            xout.AddColumn("high");
            xout.AddColumn("low");
            xout.WriteLine();

            foreach (AnalystField field  in  _script.Normalize.NormalizedFields)
            {
                xout.AddColumn(field.Name);
                xout.AddColumn(field.Input ? "input" : "output");
                xout.AddColumn(field.TimeSlice);
                switch (field.Action)
                {
                    case NormalizationAction.Ignore:
                        xout.AddColumn("ignore");
                        break;
                    case NormalizationAction.Normalize:
                        xout.AddColumn("range");
                        break;
                    case NormalizationAction.PassThrough:
                        xout.AddColumn("pass");
                        break;
                    case NormalizationAction.OneOf:
                        xout.AddColumn("oneof");
                        break;
                    case NormalizationAction.Equilateral:
                        xout.AddColumn("equilateral");
                        break;
                    case NormalizationAction.SingleField:
                        xout.AddColumn("single");
                        break;
                    default:
                        throw new AnalystError("Unknown action: " + field.Action);
                }

                xout.AddColumn(field.NormalizedHigh);
                xout.AddColumn(field.NormalizedLow);
                xout.WriteLine();
            }
        }

        /// <summary>
        /// Save the data fields.
        /// </summary>
        ///
        /// <param name="xout">The output file.</param>
        private void SaveData(EncogWriteHelper xout)
        {
            SaveSubSection(xout, "DATA", "CONFIG");
            xout.AddSubSection("STATS");
            xout.AddColumn("name");
            xout.AddColumn("isclass");
            xout.AddColumn("iscomplete");
            xout.AddColumn("isint");
            xout.AddColumn("isreal");
            xout.AddColumn("amax");
            xout.AddColumn("amin");
            xout.AddColumn("mean");
            xout.AddColumn("sdev");
            xout.WriteLine();


            foreach (DataField field  in  _script.Fields)
            {
                xout.AddColumn(field.Name);
                xout.AddColumn(field.Class);
                xout.AddColumn(field.Complete);
                xout.AddColumn(field.Integer);
                xout.AddColumn(field.Real);
                xout.AddColumn(field.Max);
                xout.AddColumn(field.Min);
                xout.AddColumn(field.Mean);
                xout.AddColumn(field.StandardDeviation);
                xout.WriteLine();
            }
            xout.Flush();

            xout.AddSubSection("CLASSES");
            xout.AddColumn("field");
            xout.AddColumn("code");
            xout.AddColumn("name");
            xout.WriteLine();


            foreach (DataField field  in  _script.Fields)
            {
                if (field.Class)
                {
                    foreach (AnalystClassItem col  in  field.ClassMembers)
                    {
                        xout.AddColumn(field.Name);
                        xout.AddColumn(col.Code);
                        xout.AddColumn(col.Name);
                        xout.AddColumn(col.Count);
                        xout.WriteLine();
                    }
                }
            }
        }

 public void Save(Stream os, object obj)
 {
     EncogWriteHelper helper = new EncogWriteHelper(os);
     BAMNetwork network = (BAMNetwork) obj;
     helper.AddSection("BAM");
     if (0 == 0)
     {
         helper.AddSubSection("PARAMS");
         helper.AddProperties(network.Properties);
         if (0 == 0)
         {
             helper.AddSubSection("NETWORK");
             helper.WriteProperty("f1Count", network.F1Count);
             helper.WriteProperty("f2Count", network.F2Count);
             helper.WriteProperty("weightsF1F2", network.WeightsF1ToF2);
             helper.WriteProperty("weightsF2F1", network.WeightsF2ToF1);
             helper.Flush();
         }
     }
 }

        /// <inheritdoc/>
        public void Save(Stream os, Object obj)
        {
            var xout = new EncogWriteHelper(os);
            var boltz = (BoltzmannMachine) obj;
            xout.AddSection("BOLTZMANN");
            xout.AddSubSection("PARAMS");
            xout.AddProperties(boltz.Properties);
            xout.AddSubSection("NETWORK");
            xout.WriteProperty(PersistConst.Weights, boltz.Weights);
            xout.WriteProperty(PersistConst.Output, boltz.CurrentState.Data);
            xout.WriteProperty(PersistConst.NeuronCount, boltz.NeuronCount);

            xout.WriteProperty(PersistConst.Thresholds, boltz.Threshold);
            xout.WriteProperty(BoltzmannMachine.ParamAnnealCycles,
                               boltz.AnnealCycles);
            xout.WriteProperty(BoltzmannMachine.ParamRunCycles, boltz.RunCycles);
            xout.WriteProperty(PersistConst.Temperature, boltz.Temperature);

            xout.Flush();
        }

        /// <inheritdoc/>
        public void Save(Stream os, Object obj)
        {
            var xout = new EncogWriteHelper(os);
            var net = (RBFNetwork) obj;
            var flat = (FlatNetworkRBF) net.Flat;
            xout.AddSection("RBF-NETWORK");
            xout.AddSubSection("PARAMS");
            xout.AddProperties(net.Properties);
            xout.AddSubSection("NETWORK");
            xout.WriteProperty(BasicNetwork.TagBeginTraining,
                               flat.BeginTraining);
            xout.WriteProperty(BasicNetwork.TagConnectionLimit,
                               flat.ConnectionLimit);
            xout.WriteProperty(BasicNetwork.TagContextTargetOffset,
                               flat.ContextTargetOffset);
            xout.WriteProperty(BasicNetwork.TagContextTargetSize,
                               flat.ContextTargetSize);
            xout.WriteProperty(BasicNetwork.TagEndTraining, flat.EndTraining);
            xout.WriteProperty(BasicNetwork.TagHasContext, flat.HasContext);
            xout.WriteProperty(PersistConst.InputCount, flat.InputCount);
            xout.WriteProperty(BasicNetwork.TagLayerCounts, flat.LayerCounts);
            xout.WriteProperty(BasicNetwork.TagLayerFeedCounts,
                               flat.LayerFeedCounts);
            xout.WriteProperty(BasicNetwork.TagLayerContextCount,
                               flat.LayerContextCount);
            xout.WriteProperty(BasicNetwork.TagLayerIndex, flat.LayerIndex);
            xout.WriteProperty(PersistConst.Output, flat.LayerOutput);
            xout.WriteProperty(PersistConst.OutputCount, flat.OutputCount);
            xout.WriteProperty(BasicNetwork.TagWeightIndex, flat.WeightIndex);
            xout.WriteProperty(PersistConst.Weights, flat.Weights);
            xout.WriteProperty(BasicNetwork.TagBiasActivation,
                               flat.BiasActivation);
            xout.AddSubSection("ACTIVATION");

            foreach (IActivationFunction af  in  flat.ActivationFunctions)
            {
                xout.AddColumn(af.GetType().Name);
                foreach (double t in af.Params)
                {
                    xout.AddColumn(t);
                }
                xout.WriteLine();
            }
            xout.AddSubSection("RBF");

            foreach (IRadialBasisFunction rbf  in  flat.RBF)
            {
                xout.AddColumn(rbf.GetType().Name);
                xout.AddColumn(rbf.Width);
                xout.AddColumn(rbf.Peak);
                foreach (double t in rbf.Centers)
                {
                    xout.AddColumn(t);
                }
                xout.WriteLine();
            }

            xout.Flush();
        }

 /// <summary>
 /// 
 /// </summary>
 ///
 public void Save(Stream os, Object obj)
 {
     var xout = new EncogWriteHelper(os);
     var hopfield = (HopfieldNetwork) obj;
     xout.AddSection("HOPFIELD");
     xout.AddSubSection("PARAMS");
     xout.AddProperties(hopfield.Properties);
     xout.AddSubSection("NETWORK");
     xout.WriteProperty(PersistConst.Weights, hopfield.Weights);
     xout.WriteProperty(PersistConst.Output, hopfield.CurrentState.Data);
     xout.WriteProperty(PersistConst.NeuronCount, hopfield.NeuronCount);
     xout.Flush();
 }

 public void Save(Stream os, object obj)
 {
     EncogWriteHelper helper = new EncogWriteHelper(os);
     BoltzmannMachine machine = (BoltzmannMachine) obj;
     helper.AddSection("BOLTZMANN");
     Label_00C6:
     helper.AddSubSection("PARAMS");
     Label_00D1:
     helper.AddProperties(machine.Properties);
     if (0 != 0)
     {
         return;
     }
     Label_0094:
     helper.AddSubSection("NETWORK");
     helper.WriteProperty("weights", machine.Weights);
     helper.WriteProperty("output", machine.CurrentState.Data);
     if (0 == 0)
     {
         helper.WriteProperty("neurons", machine.NeuronCount);
         helper.WriteProperty("thresholds", machine.Threshold);
         helper.WriteProperty("annealCycles", machine.AnnealCycles);
         helper.WriteProperty("runCycles", machine.RunCycles);
         helper.WriteProperty("temperature", machine.Temperature);
         helper.Flush();
         if (0 != 0)
         {
             goto Label_00D1;
         }
         if (0 == 0)
         {
             return;
         }
         goto Label_0094;
     }
     goto Label_00C6;
 }

        /**
	 * {@inheritDoc}
	 */

        public void Save(Stream os, Object obj)
        {
            var writer = new EncogWriteHelper(os);
            var som = (SOMNetwork) obj;
            writer.AddSection("SOM");
            writer.AddSubSection("PARAMS");
            writer.AddProperties(som.Properties);
            writer.AddSubSection("NETWORK");
            writer.WriteProperty(PersistConst.Weights, som.Weights);
            writer.WriteProperty(PersistConst.InputCount, som.InputCount);
            writer.WriteProperty(PersistConst.OutputCount, som.OutputCount);
            writer.Flush();
        }

        /// <summary>
        /// Save the object.
        /// </summary>
        /// <param name="os">The output stream.</param>
        /// <param name="obj">The object to save.</param>
        public virtual void Save(Stream os, Object obj)
        {
            var xout = new EncogWriteHelper(os);
            var neat = (NEATNetwork) obj;
            xout.AddSection("NEAT");
            xout.AddSubSection("PARAMS");
            xout.AddProperties(neat.Properties);
            xout.AddSubSection("NETWORK");

            xout.WriteProperty(PersistConst.InputCount, neat.InputCount);
            xout.WriteProperty(PersistConst.OutputCount, neat.OutputCount);
            xout.WriteProperty(PersistConst.ActivationFunction,
                               neat.ActivationFunction);
            xout.WriteProperty(NEATPopulation.PropertyOutputActivation,
                               neat.OutputActivationFunction);
            xout.WriteProperty(PersistConst.Depth, neat.NetworkDepth);
            xout.WriteProperty(PersistConst.Snapshot, neat.Snapshot);

            xout.AddSubSection("NEURONS");

            foreach (NEATNeuron neatNeuron  in  neat.Neurons)
            {
                xout.AddColumn((int)neatNeuron.NeuronID);
                xout.AddColumn(PersistNEATPopulation.NeuronTypeToString(neatNeuron.NeuronType));
                xout.AddColumn(neatNeuron.ActivationResponse);
                xout.AddColumn(neatNeuron.SplitX);
                xout.AddColumn(neatNeuron.SplitY);
                xout.WriteLine();
            }

            xout.AddSubSection("LINKS");

            foreach (NEATNeuron neatNeuron  in  neat.Neurons)
            {
                foreach (NEATLink link  in  neatNeuron.OutputboundLinks)
                {
                    WriteLink(xout, link);
                }
            }

            xout.Flush();
        }