Model.Samplings (Interface Manipulation Package)

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Interface Manipulation Package v4.0 (2008-06-25)

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imp.estimator
Class Model.Samplings

java.lang.Object
  imp.estimator.Model.Samplings

Defines a set samplings of the state estimation.

Constructor Summary
`Model.Samplings()` Constructs a set of sampling.

Method Summary
`Model.Samplings`	`addMeasure(double[] m)` Adds a measure to all models and return this.
`Model.Samplings`	`addModel(Model model)` Adds a model and return this.
`Model.Samplings`	`delMeasure(double[] m)` Removes a measure to all models and return this.
`Model.Samplings`	`delModel(Model model)` Removes a model and return this.
`Iterator<Model.Estimate>`	`getEstimates()` Returns an iterator over the estimates in decreasing quality order.
`boolean`	`sample(double threshold, int modelMinimalSize, int maximalNumberOfModel)` Samples once a state estimation for a randomly chosen model and returns true if the sampling is acceptable.

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

public Model.Samplings()

Constructs a set of sampling.

Method Detail

public Model.Samplings addMeasure(double[] m)

Adds a measure to all models and return this.

public Model.Samplings addModel(Model model)

Adds a model and return this.

public Model.Samplings delMeasure(double[] m)

Removes a measure to all models and return this.

public Model.Samplings delModel(Model model)

Removes a model and return this.

public Iterator<Model.Estimate> getEstimates()

Returns an iterator over the estimates in decreasing quality order.

public boolean sample(double threshold,
                      int modelMinimalSize,
                      int maximalNumberOfModel)

Samples once a state estimation for a randomly chosen model and returns true if the sampling is acceptable.

Parameters:: threshold - Quadratic measurement error threshold.; modelMinimalSize - minimal number of compatible measure to accept a model.; maximalNumberOfModel - maximal number of estimates, only the best estimates are maintained.