python.learner.LearnedKnowledge.LearnedKnowledge Class Reference

Class keeps all information, which was learned during the learning process. More...

Inheritance diagram for python.learner.LearnedKnowledge.LearnedKnowledge:

Public Member Functions
def	__init__ (self)
	Constructor. More...
def	createMemento (self)
	Creates a new memento to hold the current state. More...
def	getAlphas (self)
	Returns current alpha vector. More...
def	setMemento (self, memento)
	Restores the state which is saved in the given memento. More...
def	update (self, alpha)
	Alters the current alpha vector. More...

Detailed Description

Class keeps all information, which was learned during the learning process.

Currently, only the alpha vector is stored, by in the future more information may come.

Constructor & Destructor Documentation

__init__()

def python.learner.LearnedKnowledge.LearnedKnowledge.__init__

(

self

)

Constructor.

References python.learner.LearnedKnowledge.LearnedKnowledge.__alphas.

Member Function Documentation

createMemento()

def python.learner.LearnedKnowledge.LearnedKnowledge.createMemento

(

self

)

Creates a new memento to hold the current state.

Returns

a new memento

References python.learner.LearnedKnowledge.LearnedKnowledge.__alphas.

Referenced by python.uq.analysis.asgc.ASGCKnowledge.ASGCKnowledge.writeToFile(), and python.uq.uq_setting.UQSetting.UQSetting.writeToFile().

getAlphas()

def python.learner.LearnedKnowledge.LearnedKnowledge.getAlphas

(

self

)

Returns current alpha vector.

Returns

: DataVector of current alpha

References python.learner.LearnedKnowledge.LearnedKnowledge.__alphas.

setMemento()

def python.learner.LearnedKnowledge.LearnedKnowledge.setMemento	(		self,
			memento
	)

Restores the state which is saved in the given memento.

Parameters

memento

the memento object

References sgpp::base::ScreenOutput.update(), python.learner.LearnedKnowledge.LearnedKnowledge.update(), sgpp::base::LinearLoadBalancer.update(), sgpp::base::ForwardSelectorRefinementIndicator.update(), sgpp::base::LinearLoadBalancerMultiPlatform.update(), sgpp::base::ImpurityRefinementIndicator.update(), sgpp::combigrid::BinaryHeap< T, Comparator >.update(), and sgpp::base::HashGridStorage.update().

update()

def python.learner.LearnedKnowledge.LearnedKnowledge.update	(		self,
			alpha
	)

Alters the current alpha vector.

Parameters

alpha

new alpha vector

Returns

: LearnedKnowledge itself

References python.learner.LearnedKnowledge.LearnedKnowledge.__alphas.

Referenced by python.uq.refinement.RefinementStrategy.Ranking.rank(), and python.learner.LearnedKnowledge.LearnedKnowledge.setMemento().

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The documentation for this class was generated from the following file:

• datadriven/python/learner/LearnedKnowledge.py