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- a -
AllIndices() :
Pds::DataSet
- c -
Classify() :
Pds::LogisticModel
CostCrossEntropy() :
Pds::LogisticModel
CostInformationGain() :
Pds::LogisticModel
CostKmeans() :
Pds::Clustering
CostMape() :
Pds::LinearModel
CostMeanAbsolute() :
Pds::LinearModel
CostMeanSquare() :
Pds::LinearModel
,
Pds::LogisticModel
- f -
FittingGradientCrossEntropy() :
Pds::LogisticModel
FittingGradientIG() :
Pds::LogisticModel
FittingGradientSVM() :
Pds::LogisticModel
FittingLogitMeanSquare() :
Pds::LogisticModel
FittingLogitWeightedMeanSquare() :
Pds::LogisticModel
FittingNormalMeanSquare() :
Pds::LinearModel
FittingOrtogonalIG() :
Pds::LogisticModel
FourierSeries() :
Pds::Kernel
- g -
Gaussian() :
Pds::Kernel
GetBestInformationGainID() :
Pds::DataSet
GetW0CornerMeanMethod() :
Pds::LogisticModel
GetW0MeanMethod() :
Pds::LogisticModel
GetW0MeanSquareMethod() :
Pds::LogisticModel
GradientCostInformationGain() :
Pds::LogisticModel
- i -
InformationGainScale() :
Pds::DataSet
- k -
Kcumulus() :
Pds::DataSet::Clustering
Kmeans() :
Pds::Clustering
- l -
LearningCurves() :
Pds::LogisticModel
LoadDataBand() :
Pds::DataSet::Classification
LoadDataBand2() :
Pds::DataSet::Classification
LoadDataCircle() :
Pds::DataSet::Classification
,
Pds::DataSet::Regression
LoadDataEllipse() :
Pds::DataSet::Classification
LoadDataFourierSeries() :
Pds::DataSet::Regression
LoadDataGaussian() :
Pds::DataSet::Regression
LoadDataLine() :
Pds::DataSet::Classification
,
Pds::DataSet::Regression
LoadDataLine2() :
Pds::DataSet::Classification
LoadDataLineOutlierBall() :
Pds::DataSet::Regression
LoadDataLineOutlierRand() :
Pds::DataSet::Regression
LoadDataSine() :
Pds::DataSet::Classification
LoadDataSineBand() :
Pds::DataSet::Classification
LoadDataYinYang() :
Pds::DataSet::Classification
- m -
MGaussianDensityEstimation() :
Pds::AnomalyDetection
MGaussianPDF() :
Pds::AnomalyDetection
- p -
Package() :
Pds::Ml
PointsX2D() :
Pds::Octave::Plot
PointsX2DY() :
Pds::Octave::Plot
PointsX2DYW() :
Pds::Octave::Plot
PointsXY() :
Pds::Octave::Plot
PointsXYXY() :
Pds::Octave::Plot
Polynomial() :
Pds::Kernel
Predict() :
Pds::LinearModel
PrintPackage() :
Pds::Ml
PrintVersion() :
Pds::Ml
- s -
ScatterX2DY() :
Pds::Octave::Plot
ScatterX2DYW() :
Pds::Octave::Plot
ScatterX3DY() :
Pds::Octave::Plot
Split() :
Pds::DataSet
- t -
ToString() :
Pds::Ml
- v -
Version() :
Pds::Ml
Enlaces de interés
Manual de referencia generado el Domingo, 28 de Noviembre de 2021 03:21:08 para la biblioteca
libpdsmlmm
usando Generado el Domingo, 28 de Noviembre de 2021 03:21:08 para libpdsmlmm por
1.9.2