- Timestamp:
- 05/28/14 15:14:16 (10 years ago)
- Location:
- branches/DataPreprocessing/HeuristicLab.Problems.DataAnalysis.Transformations/3.3
- Files:
-
- 7 edited
Legend:
- Unmodified
- Added
- Removed
-
branches/DataPreprocessing/HeuristicLab.Problems.DataAnalysis.Transformations/3.3/ExponentialTransformation.cs
r10808 r10909 8 8 9 9 namespace HeuristicLab.Problems.DataAnalysis.Transformations { 10 [Item("Exponential Transformation", "f(x) = b ^ x | Represents a exponential transformation.")]10 [Item("Exponential Transformation", "f(x) = b ^ x | Represents a exponential transformation.")] 11 11 public class ExponentialTransformation : Transformation<double> { 12 12 protected const string BaseParameterName = "Base"; -
branches/DataPreprocessing/HeuristicLab.Problems.DataAnalysis.Transformations/3.3/LinearTransformation.cs
r10821 r10909 24 24 using System.Collections.Generic; 25 25 using System.Linq; 26 using System.Text;27 26 using HeuristicLab.Common; 28 27 using HeuristicLab.Core; … … 32 31 33 32 namespace HeuristicLab.Problems.DataAnalysis.Transformations { 34 [Item("Linear Transformation", "f(x) = k * x + d | Represents a linear transformation with multiplication and addition.")]33 [Item("Linear Transformation", "f(x) = k * x + d | Represents a linear transformation with multiplication and addition.")] 35 34 public class LinearTransformation : Transformation<double> { 36 35 protected const string MultiplierParameterName = "Multiplier"; -
branches/DataPreprocessing/HeuristicLab.Problems.DataAnalysis.Transformations/3.3/LogarithmicTransformation.cs
r10821 r10909 2 2 using System.Collections.Generic; 3 3 using System.Linq; 4 using System.Text;5 4 using HeuristicLab.Common; 6 5 using HeuristicLab.Core; … … 10 9 11 10 namespace HeuristicLab.Problems.DataAnalysis.Transformations { 12 [Item("Logarithmic Transformation", "f(x) = log(x, b) | Represents a logarithmic transformation.")]11 [Item("Logarithmic Transformation", "f(x) = log(x, b) | Represents a logarithmic transformation.")] 13 12 public class LogarithmicTransformation : Transformation<double> { 14 13 protected const string BaseParameterName = "Base"; -
branches/DataPreprocessing/HeuristicLab.Problems.DataAnalysis.Transformations/3.3/PowerTransformation.cs
r10808 r10909 8 8 9 9 namespace HeuristicLab.Problems.DataAnalysis.Transformations { 10 [Item("Power Transformation", "f(x) = x ^ exp | Represents a power transformation.")]10 [Item("Power Transformation", "f(x) = x ^ exp | Represents a power transformation.")] 11 11 public class PowerTransformation : Transformation<double> { 12 12 protected const string ExponentParameterName = "Exponent"; … … 31 31 public PowerTransformation(IEnumerable<string> allowedColumns) 32 32 : base(allowedColumns) { 33 Parameters.Add(new ValueParameter<DoubleValue>(ExponentParameterName, "exp | Exponent for Exponentation", new DoubleValue( Math.E)));33 Parameters.Add(new ValueParameter<DoubleValue>(ExponentParameterName, "exp | Exponent for Exponentation", new DoubleValue(2.0))); 34 34 } 35 35 -
branches/DataPreprocessing/HeuristicLab.Problems.DataAnalysis.Transformations/3.3/ReciprocalTransformation.cs
r10821 r10909 3 3 using System.Collections.Generic; 4 4 using System.Linq; 5 using System.Text;6 5 using HeuristicLab.Common; 7 6 using HeuristicLab.Core; 8 7 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; 9 8 namespace HeuristicLab.Problems.DataAnalysis.Transformations { 10 [Item("Reciprocal Transformation", "f(x) = 1 / x | Represents a reciprocal transformation.")]9 [Item("Reciprocal Transformation", "f(x) = 1 / x | Represents a reciprocal transformation.")] 11 10 public class ReciprocalTransformation : Transformation<double> { 12 11 -
branches/DataPreprocessing/HeuristicLab.Problems.DataAnalysis.Transformations/3.3/ShiftStandardDistributionTransformation.cs
r10841 r10909 8 8 9 9 namespace HeuristicLab.Problems.DataAnalysis.Transformations { 10 [Item("Shift StandardDistributionTransformation.cs", "f(x) = ((x - m_org) / s_org ) * s_tar + m_tar | Represents Transformation to unit standard deviation and additional linear transformation to a target Mean and Standard deviation")]10 [Item("Shift Standard Distribution Transformation", "f(x) = ((x - m_org) / s_org ) * s_tar + m_tar | Represents Transformation to unit standard deviation and additional linear transformation to a target Mean and Standard deviation")] 11 11 public class ShiftStandardDistributionTransformation : Transformation<double> { 12 protected const string OriginalMeanParameterName = "Original Mean";13 protected const string OriginalStandardDeviationParameterName = "Original StandardDeviation";12 protected const string OriginalMeanParameterName = "Original Mean"; 13 protected const string OriginalStandardDeviationParameterName = "Original Standard Deviation"; 14 14 protected const string MeanParameterName = "Mean"; 15 protected const string StandardDeviationParameterName = "Standard Deviation";15 protected const string StandardDeviationParameterName = "Standard Deviation"; 16 16 17 17 #region Parameters -
branches/DataPreprocessing/HeuristicLab.Problems.DataAnalysis.Transformations/3.3/ShiftToRangeTransformation.cs
r10841 r10909 8 8 9 9 namespace HeuristicLab.Problems.DataAnalysis.Transformations { 10 [Item("Shift ToRangeTransformation", "f(x) = k * x + d, start <= f(x) <= end | Represents a linear Transformation using Parameters defining a target range")]10 [Item("Shift to Range Transformation", "f(x) = k * x + d, start <= f(x) <= end | Represents a linear Transformation using Parameters defining a target range")] 11 11 public class ShiftToRangeTransformation : LinearTransformation { 12 12 protected const string RangeParameterName = "Range";
Note: See TracChangeset
for help on using the changeset viewer.