Changeset 17466
- Timestamp:
- 03/03/20 08:32:10 (5 years ago)
- Location:
- branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4
- Files:
-
- 6 edited
- 1 copied
Legend:
- Unmodified
- Added
- Removed
-
branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Grammars/TypeCoherentVectorExpressionGrammar.cs
r17465 r17466 86 86 var factorVariable = new FactorVariable(); 87 87 88 var mean = new Mean(); 89 var sd = new StandardDeviation(); 88 90 var sum = new Sum(); 89 var mean = new Average { Name = "Mean" };90 var sd = new StandardDeviation();91 91 #endregion 92 92 … … 120 120 var powerSymbols = new GroupSymbol(PowerFunctionsName, new List<ISymbol> { square, sqrt, cube, cubeRoot, power, root }); 121 121 var terminalSymbols = new GroupSymbol(TerminalsName, new List<ISymbol> { constant, variable, binFactorVariable, factorVariable }); 122 var aggregationSymbols = new GroupSymbol(VectorAggregationName, new List<ISymbol> { sum, mean, sd});122 var aggregationSymbols = new GroupSymbol(VectorAggregationName, new List<ISymbol> { mean, sd, sum }); 123 123 var scalarSymbols = new GroupSymbol(ScalarSymbolsName, new List<ISymbol>() { arithmeticSymbols, trigonometricSymbols, exponentialAndLogarithmicSymbols, powerSymbols, terminalSymbols, aggregationSymbols }); 124 124 -
branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/HeuristicLab.Problems.DataAnalysis.Symbolic-3.4.csproj
r17463 r17466 231 231 <Compile Include="Symbols\And.cs" /> 232 232 <Compile Include="Symbols\AutoregressiveVariable.cs" /> 233 <Compile Include="Symbols\Mean.cs" /> 233 234 <Compile Include="Symbols\StandardDeviation.cs" /> 234 235 <Compile Include="Symbols\Sum.cs" /> -
branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interpreter/OpCodes.cs
r17463 r17466 78 78 CubeRoot = 51, 79 79 Tanh = 52, 80 Sum = 53, 81 Sd = 54 82 }; 80 Mean = 53, 81 StandardDeviation = 54, 82 Sum = 55 83 } 83 84 public static class OpCodes { 84 85 // constants for API compatibility only … … 135 136 public const byte CubeRoot = (byte)OpCode.CubeRoot; 136 137 public const byte Tanh = (byte)OpCode.Tanh; 138 public const byte Mean = (byte)OpCode.Mean; 139 public const byte StandardDeviation = (byte)OpCode.StandardDeviation; 137 140 public const byte Sum = (byte)OpCode.Sum; 138 public const byte StandardDeviation = (byte)OpCode.Sd; 141 139 142 140 143 private static Dictionary<Type, byte> symbolToOpcode = new Dictionary<Type, byte>() { … … 192 195 { typeof(Cube), OpCodes.Cube }, 193 196 { typeof(CubeRoot), OpCodes.CubeRoot }, 194 { typeof(Sum), OpCodes.Sum }, 195 { typeof(StandardDeviation), OpCodes.StandardDeviation } 197 { typeof(Mean), OpCodes.Mean }, 198 { typeof(StandardDeviation), OpCodes.StandardDeviation }, 199 { typeof(Sum), OpCodes.Sum } 200 196 201 }; 197 202 -
branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interpreter/SymbolicDataAnalysisExpressionTreeVectorInterpreter.cs
r17465 r17466 334 334 v => v.Sum()); 335 335 } 336 case OpCodes. Average: {336 case OpCodes.Mean: { 337 337 var cur = Evaluate(dataset, ref row, state); 338 338 return AggregateApply(cur, -
branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Symbols/Mean.cs
r17455 r17466 24 24 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; 25 25 using HEAL.Attic; 26 26 27 namespace HeuristicLab.Problems.DataAnalysis.Symbolic { 27 [StorableType(" 459E521B-A921-4A0F-B63D-B298DA2CDD11")]28 [Item(" Average", "Symbol that represents the average (arithmetic mean)function.")]29 public sealed class Average: Symbol {28 [StorableType("2AE24E16-849E-4D54-A35B-7FE64BEF8ECB")] 29 [Item("Mean", "Symbol that represents the mean function.")] 30 public sealed class Mean : Symbol { 30 31 private const int minimumArity = 1; 31 private const int maximumArity = byte.MaxValue;32 private const int maximumArity = 1; 32 33 33 34 public override int MinimumArity { … … 39 40 40 41 [StorableConstructor] 41 private Average(StorableConstructorFlag _) : base(_) { }42 private Average(Averageoriginal, Cloner cloner) : base(original, cloner) { }42 private Mean(StorableConstructorFlag _) : base(_) { } 43 private Mean(Mean original, Cloner cloner) : base(original, cloner) { } 43 44 public override IDeepCloneable Clone(Cloner cloner) { 44 return new Average(this, cloner);45 return new Mean(this, cloner); 45 46 } 46 public Average() : base("Average", "Symbol that represents the average (arithmetic mean)function.") { }47 public Mean() : base("Mean", "Symbol that represents the mean function.") { } 47 48 } 48 49 } -
branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Symbols/StandardDeviation.cs
r17463 r17466 29 29 public sealed class StandardDeviation : Symbol { 30 30 private const int minimumArity = 1; 31 private const int maximumArity = byte.MaxValue;31 private const int maximumArity = 1; 32 32 33 33 public override int MinimumArity { -
branches/3040_VectorBasedGP/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Symbols/Sum.cs
r17460 r17466 27 27 namespace HeuristicLab.Problems.DataAnalysis.Symbolic { 28 28 [StorableType("C6C245BF-C44A-4207-A268-55641483F27F")] 29 [Item("Sum", "Symbol that represents the Sum function.")]29 [Item("Sum", "Symbol that represents the sum function.")] 30 30 public sealed class Sum : Symbol { 31 31 private const int minimumArity = 1; 32 private const int maximumArity = byte.MaxValue;32 private const int maximumArity = 1; 33 33 34 34 public override int MinimumArity {
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