Package adams.flow.transformer.summarystatistics

Interface CategoricalSummaryStatistic

All Superinterfaces:

SummaryStatistic

All Known Implementing Classes:

AbstractCategoricalSummaryStatistic, AbstractGeneralSummaryStatistic, Accuracy, NoPrediction

public interface CategoricalSummaryStatistic
extends SummaryStatistic

Interface for statistics that work on categorical predictions.

Author:

FracPete (fracpete at waikato dot ac dot nz)

Field Summary

Fields

Modifier and Type	Field	Description
static String	MISSING_CATEGORICAL	the placeholder for missing values.

Method Summary

Modifier and Type	Method	Description
String[]	getCategoricalActual()	Returns the actual values.
String[]	getCategoricalClassDistributionLabels()	Returns the class distributions values.
double[][]	getCategoricalClassDistributions()	Returns the class distributions values.
String[]	getCategoricalPredicted()	Returns the predicted values.
double[]	getCategoricalProbabilities()	Returns the probabilities values.
void	setCategoricalActual(String[] value)	Sets the actual values.
void	setCategoricalClassDistributionLabels(String[] value)	Sets the class labels (order in the class distributions).
void	setCategoricalClassDistributions(double[][] value)	Sets the class distributions.
void	setCategoricalPredicted(String[] value)	Sets the predicted values.
void	setCategoricalProbabilities(double[] value)	Sets the probabilities.

Methods inherited from interface adams.flow.transformer.summarystatistics.SummaryStatistic

calculate, clear, getNames

Field Detail

MISSING_CATEGORICAL

static final String MISSING_CATEGORICAL

the placeholder for missing values.

See Also:

Constant Field Values

Method Detail

setCategoricalActual

void setCategoricalActual(String[] value)

Sets the actual values.

Parameters:

value - the actual

getCategoricalActual

String[] getCategoricalActual()

Returns the actual values.

Returns:

the actual

setCategoricalPredicted

void setCategoricalPredicted(String[] value)

Sets the predicted values.

Parameters:

value - the predicted

getCategoricalPredicted

String[] getCategoricalPredicted()

Returns the predicted values.

Returns:

the predicted

setCategoricalProbabilities

void setCategoricalProbabilities(double[] value)

Sets the probabilities.

Parameters:

value - the probabilities

getCategoricalProbabilities

double[] getCategoricalProbabilities()

Returns the probabilities values.

Returns:

the probabilities

setCategoricalClassDistributions

void setCategoricalClassDistributions(double[][] value)

Sets the class distributions.

Parameters:

value - the class distributions

getCategoricalClassDistributions

double[][] getCategoricalClassDistributions()

Returns the class distributions values.

Returns:

the class distributions

setCategoricalClassDistributionLabels

void setCategoricalClassDistributionLabels(String[] value)

Sets the class labels (order in the class distributions).

Parameters:

value - the class distribution labels

getCategoricalClassDistributionLabels

String[] getCategoricalClassDistributionLabels()

Returns the class distributions values.

Returns:

the class distribution labels