python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter Class Reference

Provides functionality for the runtime serialization of the LearnedKnowledge object. More...

Inheritance diagram for python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter:

Public Member Functions
def	deserialize (self, serializationStream)
	Deserializes the LearnedKnowledgeMemento object from the stream. More...
def	deserializeFromFile (self, filename)
	Deserializes the LearnedKnowledge memento object from the file. More...
def	serialize (self, memento, serializationStream)
	Serializes the LearnedKnowledge memento object to the stream. More...
def	serializeToFile (self, memento, filename)
	Serializes the LearnedKnowledge memento object to the file. More...
def	toString (self, memento)
	Returns a string that represents the LearnedKnowledge memento object. More...

Detailed Description

Provides functionality for the runtime serialization of the LearnedKnowledge object.

This design intends to separate the binary object representation and its business logic from the text representation that can be saved into file. The class is a part of Memento design pattern described in details in CheckpointController .

Currently, the LearnerKnowledge memento object is DataVector object with alpha values.

Member Function Documentation

deserialize()

def python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter.deserialize	(		self,
			serializationStream
	)

Deserializes the LearnedKnowledgeMemento object from the stream.

Parameters

serializationStream

The stream to deserialize.

Returns

The Grid object.

References python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter.__readAlphaARFF().

Referenced by python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter.deserializeFromFile(), python.utils.GzipSerializer.GzipSerializer.deserializeFromFile(), python.uq.analysis.asgc.ASGCKnowledgeFormatter.ASGCKnowledgeFormatter.deserializeFromFile(), python.uq.sampler.asgc.ASGCSamplerFormatter.ASGCSamplerFormatter.deserializeFromFile(), and python.uq.uq_setting.UQSettingFormatter.UQSettingFormatter.deserializeFromFile().

deserializeFromFile()

def python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter.deserializeFromFile	(		self,
			filename
	)

Deserializes the LearnedKnowledge memento object from the file.

The file may or may be not gzip compressed.

Parameters

filename

The name of file with serialized Grid.

Returns

The LearnedKnowledgeMemento object.

References sgpp::combigrid::AbstractSerializationStrategy< T >.deserialize(), python.learner.formatter.GridImageFormatter.GridImageFormatter.deserialize(), python.learner.formatter.GridFormatter.GridFormatter.deserialize(), sgpp::combigrid::DefaultSerializationStrategy< T >.deserialize(), json::JSON.deserialize(), python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter.deserialize(), sgpp::combigrid::AbstractCombigridStorage.deserialize(), sgpp::combigrid::FloatSerializationStrategy< T >.deserialize(), sgpp::combigrid::CombigridTreeStorage.deserialize(), sgpp::combigrid::FunctionLookupTable.deserialize(), sgpp::combigrid::TreeStorageSerializationStrategy< T >.deserialize(), python.utils.GzipSerializer.GzipSerializer.gzOpen(), and create_dataset.type.

serialize()

def python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter.serialize	(		self,
			memento,
			serializationStream
	)

Serializes the LearnedKnowledge memento object to the stream.

Parameters

memento	The LearnedKnowledgeMemento object.
serializationStream	Output stream where the LearnedKnowledgeMemento object should be serialized to.

References python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter.__writeAlphaARFF().

Referenced by python.utils.GzipSerializer.GzipSerializer.serializeToFile(), python.learner.formatter.LearnerFormatter.LearnerFormatter.serializeToFile(), python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter.serializeToFile(), python.uq.analysis.asgc.ASGCKnowledgeFormatter.ASGCKnowledgeFormatter.serializeToFile(), python.uq.sampler.asgc.ASGCSamplerFormatter.ASGCSamplerFormatter.serializeToFile(), and python.uq.uq_setting.UQSettingFormatter.UQSettingFormatter.serializeToFile().

serializeToFile()

def python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter.serializeToFile	(		self,
			memento,
			filename
	)

Serializes the LearnedKnowledge memento object to the file.

Parameters

memento	LearnedKnowledgeMemento
filename	The name of file where the Grid object should be serialized to.

References python.utils.GzipSerializer.GzipSerializer.gzOpen(), python.learner.formatter.GridImageFormatter.GridImageFormatter.serialize(), sgpp::combigrid::AbstractSerializationStrategy< T >.serialize(), sgpp::combigrid::DefaultSerializationStrategy< T >.serialize(), json::ListNode.serialize(), json::Node.serialize(), sgpp::combigrid::FloatSerializationStrategy< T >.serialize(), json::JSON.serialize(), json::DictNode.serialize(), sgpp::base::ModPolyGrid.serialize(), sgpp::base::PolyGrid.serialize(), json::TextNode.serialize(), json::IDNode.serialize(), sgpp::base::PolyBoundaryGrid.serialize(), sgpp::base::LinearClenshawCurtisBoundaryGrid.serialize(), sgpp::base::PolyClenshawCurtisBoundaryGrid.serialize(), sgpp::combigrid::TreeStorageSerializationStrategy< T >.serialize(), sgpp::combigrid::AbstractCombigridStorage.serialize(), python.learner.formatter.GridFormatter.GridFormatter.serialize(), sgpp::base::LinearBoundaryGrid.serialize(), sgpp::combigrid::CombigridTreeStorage.serialize(), sgpp::combigrid::FunctionLookupTable.serialize(), python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter.serialize(), sgpp::base::LinearClenshawCurtisGrid.serialize(), sgpp::base::ModLinearClenshawCurtisGrid.serialize(), sgpp::base::ModPolyClenshawCurtisGrid.serialize(), sgpp::base::PolyClenshawCurtisGrid.serialize(), sgpp::base::ModBsplineGrid.serialize(), sgpp::base::FundamentalSplineGrid.serialize(), sgpp::base::BsplineGrid.serialize(), sgpp::base::ModFundamentalSplineGrid.serialize(), sgpp::base::ModBsplineClenshawCurtisGrid.serialize(), sgpp::base::NakBsplineBoundaryCombigridGrid.serialize(), sgpp::base::BsplineClenshawCurtisGrid.serialize(), sgpp::base::HashGridPoint.serialize(), sgpp::base::BsplineBoundaryGrid.serialize(), sgpp::base::HashGridStorage.serialize(), sgpp::base::BoundingBox.serialize(), sgpp::base::Stretching.serialize(), and sgpp::base::Grid.serialize().

toString()

def python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter.toString	(		self,
			memento
	)

Returns a string that represents the LearnedKnowledge memento object.

Parameters

memento

The LearnedKnowledgeMemento object.

Returns

A string that represents the LearnedKnowledge memento object.

References python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter.__readDataARFF().

Referenced by python.uq.learner.Learner.Learner.createMemento(), and python.learner.Learner.Learner.createMemento().

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

• datadriven/python/learner/formatter/LearnedKnowledgeFormatter.py