Package com.bayesserver.data.sampling

Class DataSamplingOptions

java.lang.Object

com.bayesserver.data.sampling.DataSamplingOptions

public final class DataSamplingOptions
extends Object

Options for data sampling.

Constructor Summary

Constructors

Constructor	Description
DataSamplingOptions()	Initializes a new instance of DataSamplingOptions.

Method Summary

Modifier and Type	Method	Description
ExcludedVariables	getMissingDataExclusions()	Variables can be added, to indicate that they should not generate missing values.
double	getMissingDataProbability()	When positive, sets a certain percentage of values to missing (except when getMissingDataProbabilityMin() has a value).
Double	getMissingDataProbabilityMin()	When set, the missing data probability for each case varies randomly between getMissingDataProbabilityMin() and getMissingDataProbability().
Integer	getSequenceLength()	The sequence length generated for each sample from networks with temporal nodes.
void	setMissingDataProbability(double value)	When positive, sets a certain percentage of values to missing (except when getMissingDataProbabilityMin() has a value).
void	setMissingDataProbabilityMin(Double value)	When set, the missing data probability for each case varies randomly between getMissingDataProbabilityMin() and getMissingDataProbability().
void	setSequenceLength(Integer value)	The sequence length generated for each sample from networks with temporal nodes.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DataSamplingOptions

public DataSamplingOptions()

Initializes a new instance of DataSamplingOptions.

Method Detail

getSequenceLength

public Integer getSequenceLength()

The sequence length generated for each sample from networks with temporal nodes. This value can be changed between calls to DataSampler.takeSample(com.bayesserver.inference.Evidence, com.bayesserver.RandomNumberGenerator, com.bayesserver.data.sampling.DataSamplingOptions) to generate varying length sequences.

setSequenceLength

public void setSequenceLength(Integer value)

The sequence length generated for each sample from networks with temporal nodes. This value can be changed between calls to DataSampler.takeSample(com.bayesserver.inference.Evidence, com.bayesserver.RandomNumberGenerator, com.bayesserver.data.sampling.DataSamplingOptions) to generate varying length sequences.

getMissingDataProbability

public double getMissingDataProbability()

When positive, sets a certain percentage of values to missing (except when getMissingDataProbabilityMin() has a value). Valid values are between 0 and 1.

When getMissingDataProbabilityMin() is set, the missing data probability for each case varies randomly between getMissingDataProbabilityMin() and getMissingDataProbability().

The missing data mechanism is assumed to be MCAR (Missing Completely At Random).

setMissingDataProbability

public void setMissingDataProbability(double value)

When positive, sets a certain percentage of values to missing (except when getMissingDataProbabilityMin() has a value). Valid values are between 0 and 1.

When getMissingDataProbabilityMin() is set, the missing data probability for each case varies randomly between getMissingDataProbabilityMin() and getMissingDataProbability().

The missing data mechanism is assumed to be MCAR (Missing Completely At Random).

getMissingDataProbabilityMin

public Double getMissingDataProbabilityMin()

When set, the missing data probability for each case varies randomly between getMissingDataProbabilityMin() and getMissingDataProbability(). Valid values are between 0 and 1.

setMissingDataProbabilityMin

public void setMissingDataProbabilityMin(Double value)

When set, the missing data probability for each case varies randomly between getMissingDataProbabilityMin() and getMissingDataProbability(). Valid values are between 0 and 1.

getMissingDataExclusions

public ExcludedVariables getMissingDataExclusions()

Variables can be added, to indicate that they should not generate missing values.

See Also:

getMissingDataProbability()