Context Navigation

Linear

Timestamp:

11/15/16 21:23:43 (8 years ago)

Author:

gkronber

Message:

#2697:

removed AlglibUtil.cs and added an extension method .ToArray(names, rows) to IDataset instead.
refactored transformation so that it is possible to apply an transformation without resetting the parameters
Used transformations instead of Scaling as far as possible.
Moved TakeEvery extension method to HL.Common

Location:

Files:

r14185	r14393
70	70	IEnumerable<int> rows = problemData.TrainingIndices;
71	71	int nClasses = problemData.ClassNames.Count();
72		double[,] inputMatrix = ~~AlglibUtil.PrepareInputMatrix(dataset,~~ allowedInputVariables.Concat(new string[] { targetVariable }), rows);
	72	double[,] inputMatrix = dataset.ToArray(allowedInputVariables.Concat(new string[] { targetVariable }), rows);
73	73	if (inputMatrix.Cast<double>().Any(x => double.IsNaN(x) \|\| double.IsInfinity(x)))
74	74	throw new NotSupportedException("Linear discriminant analysis does not support NaN or infinity values in the input dataset.");

r14390	r14393
73	73	IEnumerable<string> allowedInputVariables = problemData.AllowedInputVariables;
74	74	IEnumerable<int> rows = problemData.TrainingIndices;
75		double[,] inputMatrix = ~~AlglibUtil.PrepareInputMatrix(dataset,~~ allowedInputVariables.Concat(new string[] { targetVariable }), rows);
	75	double[,] inputMatrix = dataset.ToArray(allowedInputVariables.Concat(new string[] { targetVariable }), rows);
76	76	if (inputMatrix.Cast<double>().Any(x => double.IsNaN(x) \|\| double.IsInfinity(x)))
77	77	throw new NotSupportedException("Linear regression does not support NaN or infinity values in the input dataset.");

r14185	r14393
70	70	IEnumerable<string> allowedInputVariables = problemData.AllowedInputVariables;
71	71	IEnumerable<int> rows = problemData.TrainingIndices;
72		double[,] inputMatrix = ~~AlglibUtil.PrepareInputMatrix(dataset,~~ allowedInputVariables.Concat(new string[] { targetVariable }), rows);
	72	double[,] inputMatrix = dataset.ToArray(allowedInputVariables.Concat(new string[] { targetVariable }), rows);
73	73	if (inputMatrix.Cast<double>().Any(x => double.IsNaN(x) \|\| double.IsInfinity(x)))
74	74	throw new NotSupportedException("Multinomial logit classification does not support NaN or infinity values in the input dataset.");

r14185	r14393
83	83
84	84	public override IEnumerable<double> GetEstimatedClassValues(IDataset dataset, IEnumerable<int> rows) {
85		double[,] inputData = ~~AlglibUtil.PrepareInputMatrix(dataset,~~ allowedInputVariables, rows);
	85	double[,] inputData = dataset.ToArray( allowedInputVariables, rows);
86	86
87	87	int n = inputData.GetLength(0);

r14185	r14393
29	29
30	30	namespace HeuristicLab.Algorithms.DataAnalysis {
	31	[Obsolete("Use transformation classes in Problems.DataAnalysis instead")]
31	32	[StorableClass]
32	33	[Item(Name = "Scaling", Description = "Contains information about scaling of variables for data-analysis algorithms.")]

Note: See TracChangeset for help on using the changeset viewer.