shark::Chessboard Class Reference
"chess board" problem for binary classification More...
#include <shark/Data/DataDistribution.h>
Inheritance diagram for shark::Chessboard:
Public Member Functions | |
| Chessboard (unsigned int size=4, double noiselevel=0.0) | |
| 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 |
| double | m_noiselevel |
Detailed Description
"chess board" problem for binary classification
Definition at line 182 of file DataDistribution.h.
Constructor & Destructor Documentation
§ Chessboard()
|
inline |
Definition at line 185 of file DataDistribution.h.
References shark::size().
Member Function Documentation
§ draw()
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inlinevirtual |
Generates a single pair of input and label.
- Parameters
-
input the generated input label the generated label
Implements shark::LabeledDataDistribution< RealVector, unsigned int >.
Definition at line 192 of file DataDistribution.h.
References shark::uni().
Member Data Documentation
§ m_noiselevel
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protected |
Definition at line 207 of file DataDistribution.h.
§ m_size
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protected |
Definition at line 206 of file DataDistribution.h.
The documentation for this class was generated from the following file:
- include/shark/Data/DataDistribution.h