MeasureFactory¶
- class otrobopt.MeasureFactory(*args)¶
Discretize a measure function.
It consists in replacing the distribution
of the measure by a discrete approximation.
Where
is the Dirac measure at
.
- Parameters:
- experiment
openturns.WeightedExperiment
Parameters design of experiment
- experiment
Methods
build
(measure)Discretize a measure.
buildCollection
(collection)Discretize several measures.
Accessor to the object's name.
getName
()Accessor to the object's name.
hasName
()Test if the object is named.
setName
(name)Accessor to the object's name.
Examples
First define a measure:
>>> import openturns as ot >>> import otrobopt >>> thetaDist = ot.Normal(2.0, 0.1) >>> f_base = ot.SymbolicFunction(['x', 'theta'], ['x*theta']) >>> f = ot.ParametricFunction(f_base, [1], [1.0]) >>> measure = otrobopt.MeanMeasure(f, thetaDist)
Then discretize it:
>>> N = 10 >>> experiment = ot.LHSExperiment(N) >>> factory = otrobopt.MeasureFactory(experiment) >>> discretizedMeasure = factory.build(measure)
Discretize several measures at once:
>>> coll = [otrobopt.MeanMeasure(f, thetaDist), ... otrobopt.VarianceMeasure(f, thetaDist)] >>> discretizedMeasures = factory.buildCollection(coll)
- __init__(*args)¶
- build(measure)¶
Discretize a measure.
- Parameters:
- measure
MeasureEvaluation
Measure
- measure
- Returns:
- measure
MeasureEvaluation
Discretized measure
- measure
- buildCollection(collection)¶
Discretize several measures.
- Parameters:
- collectionsequence of
MeasureEvaluation
The measures to discretize.
- collectionsequence of
- Returns:
- measuressequence of
MeasureEvaluation
Discretized measures
- measuressequence of
- getClassName()¶
Accessor to the object’s name.
- Returns:
- class_namestr
The object class name (object.__class__.__name__).
- getName()¶
Accessor to the object’s name.
- Returns:
- namestr
The name of the object.
- hasName()¶
Test if the object is named.
- Returns:
- hasNamebool
True if the name is not empty.
- setName(name)¶
Accessor to the object’s name.
- Parameters:
- namestr
The name of the object.