SamplingStrategy

class SamplingStrategy(*args)

Base class for sampling strategies.

Available constructor:

SamplingStrategyImplementation()

SamplingStrategyImplementation(samplingStratImp)

SamplingStrategyImplementation(dimension)

Parameters:
samplingStratImpSamplingStrategyImplementationImplementation

An implementation of the sampling strategy adopted, which is RandomDirection or OrthogonalDirection.

dimensionint

The dimension of the standard space. By default, dimension = 0 but automatically updated by the calling class.

See also

RandomDirection, OrthogonalDirection

Methods

generate()

Generate the sample.

getClassName()

Accessor to the object's name.

getDimension()

Accessor to the dimension.

getId()

Accessor to the object's id.

getImplementation()

Accessor to the underlying implementation.

getName()

Accessor to the object's name.

setDimension(dimension)

Accessor to the dimension.

setName(name)

Accessor to the object's name.
__init__(*args)
generate()

Generate the sample.

Returns:
sampleSample

The sample generated according to the sampling strategy.

getClassName()

Accessor to the object’s name.

Returns:
class_namestr

The object class name (object.__class__.__name__).

getDimension()

Accessor to the dimension.

Returns:
dimensionint

Dimension of the standard space.

getId()

Accessor to the object’s id.

Returns:
idint

Internal unique identifier.

getImplementation()

Accessor to the underlying implementation.

Returns:
implImplementation

A copy of the underlying implementation object.

getName()

Accessor to the object’s name.

Returns:
namestr

The name of the object.

setDimension(dimension)

Accessor to the dimension.

Parameters:
dimensionint

Dimension of the standard space.

setName(name)

Accessor to the object’s name.

Parameters:
namestr

The name of the object.