[17375] | 1 | using System;
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[17451] | 2 | using System.Collections;
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[17375] | 3 | using System.Collections.Generic;
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| 4 | using System.Linq;
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| 5 | using System.Reflection;
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| 6 | using System.Text;
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| 7 | using System.Threading.Tasks;
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| 8 | using HeuristicLab.Core;
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| 9 | using HeuristicLab.Data;
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[17519] | 10 | using HeuristicLab.Parameters;
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[17451] | 11 | using Newtonsoft.Json.Linq;
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[17375] | 12 |
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| 13 | namespace HeuristicLab.JsonInterface {
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| 14 | public class RegressionProblemDataConverter : BaseConverter {
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[17519] | 15 | #region Constants
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[17375] | 16 | private const BindingFlags flags = BindingFlags.Public | BindingFlags.NonPublic | BindingFlags.Instance;
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[17519] | 17 | private const string TestPartition = "TestPartition";
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| 18 | private const string TrainingPartition = "TrainingPartition";
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| 19 | private const string TargetVariable = "TargetVariable";
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| 20 | private const string AllowedInputVariables = "AllowedInputVariables";
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| 21 | private const string Dataset = "Dataset";
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| 22 | private const string VariableValues = "variableValues";
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| 23 | private const string VariableNames = "variableNames";
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| 24 | private const string InputVariables = "InputVariables";
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| 25 | private const string Rows = "rows";
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| 26 | private const string Value = "value";
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| 27 | private const string Parameters = "parameters";
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| 28 | private const string CheckedItemList = "CheckedItemList";
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| 29 | #endregion
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| 30 |
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[17394] | 31 | public override int Priority => 20;
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[17519] | 32 |
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| 33 | // RegressionProblemData
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[17394] | 34 | public override Type ConvertableType => HEAL.Attic.Mapper.StaticCache.GetType(new Guid("EE612297-B1AF-42D2-BF21-AF9A2D42791C"));
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| 35 |
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[17407] | 36 | public override void Inject(IItem item, IJsonItem data, IJsonItemConverter root) {
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[17519] | 37 |
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| 38 | dynamic regressionProblemData = (dynamic)item;
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| 39 |
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| 40 | DoubleMatrixJsonItem dataset = null;
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| 41 | StringJsonItem targetVariable = null;
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| 42 | IntRangeJsonItem testPartition = null;
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| 43 | IntRangeJsonItem trainingPartition = null;
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| 44 | StringArrayJsonItem allowedInputVariables = null;
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| 45 |
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| 46 |
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| 47 | // search first for the items (cache them, because the
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| 48 | // order is important for injection)
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| 49 | foreach (var child in data.Children) {
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| 50 |
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| 51 | if (child.Path.EndsWith(Dataset))
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| 52 | dataset = child as DoubleMatrixJsonItem;
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| 53 | else if (child.Path.EndsWith(TargetVariable))
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| 54 | targetVariable = child as StringJsonItem;
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| 55 | else if (child.Path.EndsWith(TestPartition))
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| 56 | testPartition = child as IntRangeJsonItem;
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| 57 | else if (child.Path.EndsWith(TrainingPartition))
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| 58 | trainingPartition = child as IntRangeJsonItem;
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| 59 | else if (child.Path.EndsWith(AllowedInputVariables))
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| 60 | allowedInputVariables = child as StringArrayJsonItem;
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| 61 |
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[17451] | 62 | }
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| 63 |
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[17519] | 64 | // check data
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| 65 | if(!dataset.RowNames.Any(x => x == targetVariable.Value)) {
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| 66 | throw new Exception($"The value of the target variable ('{targetVariable.Value}') has no matching row name value of the dataset.");
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| 67 | }
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[17484] | 68 |
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[17519] | 69 | foreach(var v in allowedInputVariables.Value) {
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| 70 | if(!dataset.RowNames.Any(x => x == v))
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| 71 | throw new Exception($"The value of the input variable ('{v}') has no matching row name value of the dataset.");
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| 72 | }
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[17484] | 73 |
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[17519] | 74 | // inject the value of the items
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| 75 | SetDataset(regressionProblemData, dataset);
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| 76 | SetTargetVariable(regressionProblemData, targetVariable);
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| 77 | SetAllowedInputVariables(regressionProblemData, allowedInputVariables, dataset);
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| 78 | SetTestPartition(regressionProblemData, testPartition);
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| 79 | SetTrainingPartition(regressionProblemData, trainingPartition);
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| 80 |
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[17407] | 81 | }
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| 82 |
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| 83 | public override IJsonItem Extract(IItem value, IJsonItemConverter root) {
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[17473] | 84 | IJsonItem item = new EmptyJsonItem() {
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[17433] | 85 | Name = value.ItemName,
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| 86 | Description = value.ItemDescription
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| 87 | };
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[17407] | 88 |
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[17519] | 89 | IJsonItem ds = GetDataset(value);
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| 90 | if(ds != null)
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| 91 | item.AddChildren(ds);
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| 92 |
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| 93 | item.AddChildren(GetTestPartition(value));
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| 94 | item.AddChildren(GetTrainingPartition(value));
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| 95 | item.AddChildren(GetTargetVariable(value));
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| 96 | item.AddChildren(GetAllowedInputVariables(value));
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| 97 | return item;
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| 98 | }
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| 99 |
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| 100 | #region Inject Helper
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| 101 | private void SetDataset(dynamic regressionProblemData, DoubleMatrixJsonItem item) {
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| 102 | if (item != null) {
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| 103 | var dictTmp = new Dictionary<string, IList>();
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[17451] | 104 | int c = 0;
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[17519] | 105 | foreach (var col in item.RowNames) {
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| 106 | dictTmp.Add(col, new List<double>(item.Value[c]));
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[17451] | 107 | ++c;
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| 108 | }
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[17519] | 109 |
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| 110 | object dataset = (object)regressionProblemData.Dataset;
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| 111 | var rows = dataset.GetType().GetField(Rows, flags);
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| 112 | rows.SetValue(dataset, item.Value[0].Length);
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| 113 |
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| 114 | var variableNames = dataset.GetType().GetField(VariableNames, flags);
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| 115 | variableNames.SetValue(dataset, item.RowNames);
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| 116 |
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| 117 | var dataInfo = dataset.GetType().GetField(VariableValues, flags);
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| 118 | dataInfo.SetValue(dataset, dictTmp);
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[17451] | 119 | }
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[17519] | 120 | }
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[17451] | 121 |
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[17519] | 122 | private void SetTestPartition(dynamic regressionProblemData, IntRangeJsonItem item) {
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| 123 | if (item != null) {
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| 124 | regressionProblemData.TestPartition.Start = item.MinValue;
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| 125 | regressionProblemData.TestPartition.End = item.MaxValue;
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| 126 | }
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| 127 | }
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[17451] | 128 |
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[17519] | 129 | private void SetTrainingPartition(dynamic regressionProblemData, IntRangeJsonItem item) {
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| 130 | if (item != null) {
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| 131 | regressionProblemData.TrainingPartition.Start = item.MinValue;
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| 132 | regressionProblemData.TrainingPartition.End = item.MaxValue;
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| 133 | }
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| 134 | }
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| 135 |
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| 136 | private void SetTargetVariable(dynamic regressionProblemData, StringJsonItem item) {
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| 137 | if (item != null) {
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| 138 | var param = (IConstrainedValueParameter<StringValue>)regressionProblemData.TargetVariableParameter;
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| 139 | StringValue v = param.Value;
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| 140 | FieldInfo fi = v.GetType().GetField(Value, flags);
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| 141 | fi.SetValue(v, item.Value);
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| 142 | }
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| 143 | }
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| 144 |
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| 145 | private void SetAllowedInputVariables(dynamic regressionProblemData, StringArrayJsonItem item, IMatrixJsonItem matrix) {
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| 146 | if (item != null && regressionProblemData is IParameterizedItem p) {
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| 147 | var regProbDataType = ((ParameterizedNamedItem)regressionProblemData).GetType(); //RegressionProblemData
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| 148 |
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| 149 | var parameterizedNamedItemType = regProbDataType.BaseType.BaseType;
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| 150 |
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| 151 | // reset parameter
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| 152 | var parametersInfo = parameterizedNamedItemType.GetField(Parameters, flags);
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| 153 | ParameterCollection col = (ParameterCollection)parametersInfo.GetValue((object)regressionProblemData);
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| 154 | var oldParam = (FixedValueParameter<ReadOnlyCheckedItemList<StringValue>>)col[InputVariables];
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| 155 | var value = oldParam.Value;
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| 156 | PropertyInfo listInfo = value.GetType().GetProperty(CheckedItemList, flags);
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| 157 | CheckedItemList<StringValue> checkedItemList = (CheckedItemList<StringValue>)listInfo.GetValue(value);
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| 158 | checkedItemList.Clear();
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| 159 |
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| 160 | // add list items and set their check state (based on allowed input variables)
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| 161 | foreach(var i in matrix.RowNames) {
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| 162 | bool isChecked = false;
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| 163 | foreach(var x in item.Value)
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| 164 | isChecked = isChecked || (x == i);
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| 165 | checkedItemList.Add(new StringValue(i).AsReadOnly(), isChecked);
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| 166 | }
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| 167 | }
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| 168 | }
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| 169 | #endregion
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| 170 |
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| 171 | #region Extract Helper
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| 172 | private IJsonItem GetDataset(IItem item) {
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| 173 | dynamic val = (dynamic)item;
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| 174 | object dataset = (object)val.Dataset;
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| 175 | FieldInfo dataInfo = dataset.GetType().GetField(VariableValues, flags);
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| 176 |
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| 177 | if (dataInfo.GetValue(dataset) is Dictionary<string, IList> dict) {
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| 178 | IEnumerator it = dict.Values.First()?.GetEnumerator();
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| 179 |
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| 180 | if(it != null) {
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| 181 | if(it.MoveNext() && it.Current is double) {
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| 182 | CreateMatrix(dict, out IList<string> rowNames, out double[][] mat);
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| 183 | return new DoubleMatrixJsonItem() {
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| 184 | Name = Dataset,
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| 185 | Value = mat,
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| 186 | RowNames = rowNames,
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| 187 | Minimum = double.MinValue,
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| 188 | Maximum = double.MaxValue
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| 189 | };
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| 190 | } else if(it.Current is int) {
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| 191 | CreateMatrix(dict, out IList<string> rowNames, out int[][] mat);
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| 192 | return new IntMatrixJsonItem() {
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| 193 | Name = Dataset,
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| 194 | Value = mat,
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| 195 | RowNames = rowNames,
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| 196 | Minimum = int.MinValue,
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| 197 | Maximum = int.MaxValue
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| 198 | };
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| 199 | } else if (it.Current is bool) {
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| 200 | CreateMatrix(dict, out IList<string> rowNames, out bool[][] mat);
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| 201 | return new BoolMatrixJsonItem() {
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| 202 | Name = Dataset,
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| 203 | Value = mat,
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| 204 | RowNames = rowNames
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| 205 | };
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| 206 | }
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| 207 | }
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| 208 | }
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| 209 | return null;
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| 210 | }
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| 211 |
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| 212 | private void CreateMatrix<T>(Dictionary<string, IList> dict, out IList<string> rowNames, out T[][] matrix) {
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| 213 | int cols = dict.Count, rows = 0, c = 0;
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| 214 | rowNames = new List<string>();
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| 215 | matrix = new T[cols][];
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| 216 | foreach (var x in dict) {
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| 217 | rows = Math.Max(rows, x.Value.Count);
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| 218 | rowNames.Add(x.Key);
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| 219 |
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| 220 | matrix[c] = new T[rows];
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| 221 | int r = 0;
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| 222 |
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| 223 | foreach (var rowValue in x.Value) {
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| 224 | matrix[c][r] = (T)rowValue;
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| 225 | ++r;
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| 226 | }
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| 227 | ++c;
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| 228 | }
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| 229 | }
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| 230 |
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| 231 | private IJsonItem GetTestPartition(IItem item) {
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| 232 | dynamic val = (dynamic)item;
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| 233 | var trainingPartition = (IntRange)val.TrainingPartition;
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| 234 | var testPartition = (IntRange)val.TestPartition;
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| 235 | return new IntRangeJsonItem() {
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| 236 | Name = TestPartition,
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| 237 | MinValue = testPartition.Start,
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[17473] | 238 | MaxValue = testPartition.End,
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[17519] | 239 | Minimum = 0,
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[17560] | 240 | Maximum = int.MaxValue //Math.Max(testPartition.End, trainingPartition.End)
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[17519] | 241 | };
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| 242 | }
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[17375] | 243 |
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[17519] | 244 | private IJsonItem GetTrainingPartition(IItem item) {
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| 245 | dynamic val = (dynamic)item;
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| 246 | var trainingPartition = (IntRange)val.TrainingPartition;
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| 247 | var testPartition = (IntRange)val.TestPartition;
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| 248 | return new IntRangeJsonItem() {
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| 249 | Name = TrainingPartition,
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[17473] | 250 | MinValue = trainingPartition.Start,
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| 251 | MaxValue = trainingPartition.End,
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| 252 | Minimum = 0,
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[17560] | 253 | Maximum = int.MaxValue //Math.Max(testPartition.End, trainingPartition.End)
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[17519] | 254 | };
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| 255 | }
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[17451] | 256 |
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[17540] | 257 |
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| 258 | private IJsonItem GetTargetVariable(IItem item) {
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| 259 | var vars = (IEnumerable<StringValue>)((dynamic)item).InputVariables;
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| 260 | return new StringJsonItem() {
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[17519] | 261 | Name = TargetVariable,
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| 262 | Value = (string)((dynamic)item).TargetVariable,
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[17540] | 263 | ConcreteRestrictedItems = vars.Select(x => x.Value)
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[17519] | 264 | };
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[17540] | 265 | }
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[17375] | 266 |
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[17540] | 267 | private IJsonItem GetAllowedInputVariables(IItem item) {
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| 268 | var vars = (IEnumerable<StringValue>)((dynamic)item).InputVariables;
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| 269 | return new StringArrayJsonItem() {
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[17519] | 270 | Name = AllowedInputVariables,
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| 271 | Value = ((IEnumerable<string>)((dynamic)item).AllowedInputVariables).ToArray(),
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[17540] | 272 | ConcreteRestrictedItems = vars.Select(x => x.Value)
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[17519] | 273 | };
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[17540] | 274 | }
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[17519] | 275 | #endregion
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[17375] | 276 | }
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| 277 | }
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