OpenANN::WeightedDataSet Class Reference

Resampled dataset based on the original dataset. More...

#include <WeightedDataSet.h>

Inheritance diagram for OpenANN::WeightedDataSet:

Public Member Functions
	WeightedDataSet (DataSet &dataSet, const Eigen::VectorXd &weights, bool deterministic)
WeightedDataSet &	updateWeights (const Eigen::VectorXd &weights)
virtual int	samples ()
	Number of instances. More...
virtual int	inputs ()
	Input dimensions of instances. More...
virtual int	outputs ()
	Output dimensions of instances. More...
virtual Eigen::VectorXd &	getInstance (int n)
	Get the input of the ith instance. More...
virtual Eigen::VectorXd &	getTarget (int n)
	Get the output of the ith instance. More...
virtual void	finishIteration (Learner &learner)
	This function is called after an iteration of the optimization algorithm. More...
Public Member Functions inherited from OpenANN::DataSet
virtual	~DataSet ()

Detailed Description

Resampled dataset based on the original dataset.

The probability of each instance to occur in the dataset is defined by the given weights. Note that the weights must sum up to one.

Constructor & Destructor Documentation

OpenANN::WeightedDataSet::WeightedDataSet	(	DataSet &	dataSet,
		const Eigen::VectorXd &	weights,
		bool	deterministic
	)

Parameters

dataSet	original dataset
weights	weights for each instance, must sum up to one
deterministic	use deterministic (roulette wheel) sampling

Member Function Documentation

virtual void OpenANN::WeightedDataSet::finishIteration ( Learner &  learner)

inlinevirtual

This function is called after an iteration of the optimization algorithm.

It could log results, modify or extend the data set or whatever.

Parameters

learner

learned model

Implements OpenANN::DataSet.

virtual Eigen::VectorXd& OpenANN::WeightedDataSet::getInstance ( int  n)

virtual

Get the input of the ith instance.

Parameters

n	number of instance

Returns

input

Implements OpenANN::DataSet.

virtual Eigen::VectorXd& OpenANN::WeightedDataSet::getTarget ( int  n)

virtual

Get the output of the ith instance.

Parameters

n	number of instance

Returns

output

Implements OpenANN::DataSet.

virtual int OpenANN::WeightedDataSet::inputs ( )

virtual

Input dimensions of instances.

Returns

number of inputs

Implements OpenANN::DataSet.

virtual int OpenANN::WeightedDataSet::outputs ( )

virtual

Output dimensions of instances.

Returns

number of outputs

Implements OpenANN::DataSet.

virtual int OpenANN::WeightedDataSet::samples ( )

virtual

Number of instances.

Assumes that the data set has a fixed size, at least for one iteration of the optimization algorithm.

Returns

number of examples

Implements OpenANN::DataSet.

WeightedDataSet& OpenANN::WeightedDataSet::updateWeights

(

const Eigen::VectorXd &

weights)

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

• OpenANN/io/WeightedDataSet.h