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, but automatically updated by the calling class.

See also

RandomDirection, OrthogonalDirection

Methods

generate(self)	Generate the sample.
getClassName(self)	Accessor to the object’s name.
getDimension(self)	Accessor to the dimension.
getId(self)	Accessor to the object’s id.
getImplementation(self)	Accessor to the underlying implementation.
getName(self)	Accessor to the object’s name.
setDimension(self, dimension)	Accessor to the dimension.
setName(self, name)	Accessor to the object’s name.

__init__(self, \*args)

Initialize self. See help(type(self)) for accurate signature.

generate(self)

Generate the sample.

Returns

sampleSample

The sample generated according to the sampling strategy.

getClassName(self)

Accessor to the object’s name.

Returns

class_namestr

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

getDimension(self)

Accessor to the dimension.

Returns

dimensionint

Dimension of the standard space.

getId(self)

Accessor to the object’s id.

Returns

idint

Internal unique identifier.

getImplementation(self)

Accessor to the underlying implementation.

Returns

implImplementation

The implementation class.

getName(self)

Accessor to the object’s name.

Returns

namestr

The name of the object.

setDimension(self, dimension)

Accessor to the dimension.

Parameters

dimensionint

Dimension of the standard space.

setName(self, name)

Accessor to the object’s name.

Parameters

namestr

The name of the object.