#include <shark/Data/Dataset.h>#include <shark/Core/Random.h>#include <shark/Statistics/Distributions/MultiVariateNormalDistribution.h>#include <utility>Go to the source code of this file.
Classes | |
| class | shark::DataDistribution< InputType > |
| A DataDistribution defines an unsupervised learning problem. More... | |
| class | shark::LabeledDataDistribution< InputType, LabelType > |
| A LabeledDataDistribution defines a supervised learning problem. More... | |
| class | shark::Chessboard |
| "chess board" problem for binary classification More... | |
| class | shark::Wave |
| Noisy sinc function: y = sin(x) / x + noise. More... | |
| class | shark::PamiToy |
| class | shark::CircleInSquare |
| class | shark::DiagonalWithCircle |
| class | shark::NormalDistributedPoints |
| Generates a set of normally distributed points. More... | |
| class | shark::ImagePatches |
| Given a set of images, draws a set of image patches of a given size. More... | |
Namespaces | |
| shark | |
| AbstractMultiObjectiveOptimizer. | |