#include <shark/Data/DataDistribution.h>
Public Member Functions | |
PamiToy (unsigned int size_useful=5, unsigned int size_noise=5, double noise_position=0.0, double noise_variance=1.0) | |
void | draw (RealVector &input, unsigned int &label) const |
Generates a single pair of input and label. More... | |
Public Member Functions inherited from shark::LabeledDataDistribution< RealVector, unsigned int > | |
virtual | ~LabeledDataDistribution () |
Virtual destructor. More... | |
std::pair< RealVector, unsigned int > | operator() () |
LabeledData< RealVector, unsigned int > | generateDataset (std::size_t size, std::size_t maximumBatchSize) const |
Generates a dataset with samples from from the distribution. More... | |
LabeledData< RealVector, unsigned int > | generateDataset (std::size_t size) const |
Generates a data set with samples from from the distribution. More... | |
Protected Attributes | |
unsigned int | m_size |
unsigned int | m_sizeUseful |
unsigned int | m_sizeNoise |
double | m_noisePos |
double | m_noiseVar |
"Pami Toy" problem for binary classification, as used in the article "Glasmachers and C. Igel. Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010." In summary, the first M dimensions are correlated to the labels, the last N dimensions are not.
Definition at line 217 of file DataDistribution.h.
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Definition at line 220 of file DataDistribution.h.
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Generates a single pair of input and label.
input | the generated input |
label | the generated label |
Implements shark::LabeledDataDistribution< RealVector, unsigned int >.
Definition at line 228 of file DataDistribution.h.
References shark::random::discrete(), shark::random::gauss(), and shark::random::globalRng.
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Definition at line 246 of file DataDistribution.h.
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Definition at line 247 of file DataDistribution.h.
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Definition at line 243 of file DataDistribution.h.
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Definition at line 245 of file DataDistribution.h.
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Definition at line 244 of file DataDistribution.h.