shark::NormalDistributedPoints Class Reference
Generates a set of normally distributed points. More...
#include <shark/Data/DataDistribution.h>
Inheritance diagram for shark::NormalDistributedPoints:
Public Member Functions | |
| NormalDistributedPoints (std::size_t dim) | |
| Generates a simple distribution with. | |
| NormalDistributedPoints (RealMatrix const &covariance, RealVector const &offset) | |
| void | draw (RealVector &input) const |
| Generates a single pair of input and label. | |
| Public Member Functions inherited from shark::DataDistribution< RealVector > | |
| virtual | ~DataDistribution () |
| Virtual destructor. | |
| RealVector | operator() () |
| UnlabeledData< RealVector > | generateDataset (std::size_t size, std::size_t maximumBatchSize) const |
| Generates a data set with samples from from the distribution. | |
| UnlabeledData< RealVector > | generateDataset (std::size_t size) const |
| Generates a data set with samples from from the distribution. | |
Detailed Description
Generates a set of normally distributed points.
Definition at line 379 of file DataDistribution.h.
Constructor & Destructor Documentation
◆ NormalDistributedPoints() [1/2]
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inline |
Generates a simple distribution with.
Definition at line 383 of file DataDistribution.h.
References shark::covariance(), and shark::MultiVariateNormalDistributionCholesky::setCovarianceMatrix().
◆ NormalDistributedPoints() [2/2]
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inline |
Definition at line 388 of file DataDistribution.h.
References shark::covariance(), and SIZE_CHECK.
Member Function Documentation
◆ draw()
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inlinevirtual |
Generates a single pair of input and label.
- Parameters
-
input the generated input
Implements shark::DataDistribution< RealVector >.
Definition at line 392 of file DataDistribution.h.
References shark::random::globalRng.
The documentation for this class was generated from the following file:
- include/shark/Data/DataDistribution.h