Package adams.gui.tools.wekainvestigator.tab.classifytab

Class PredictionHelper

java.lang.Object

adams.gui.tools.wekainvestigator.tab.classifytab.PredictionHelper

public class PredictionHelper
extends Object

Helper class for dealing with predictions from result items.

Author:

FracPete (fracpete at waikato dot ac dot nz)

Constructor Summary

Constructors

Constructor	Description
PredictionHelper()

Method Summary

Modifier and Type	Method	Description
static SpreadSheet	toSpreadSheet(LoggingSupporter logger, MessageCollection errors, ResultItem item, boolean addAdditionalAttributes, boolean showError)	Turns the result item into a spreadsheet with the predictions.
static SpreadSheet	toSpreadSheet(LoggingSupporter logger, MessageCollection errors, ResultItem item, boolean addAdditionalAttributes, boolean addLabelIndex, boolean showDistribution, boolean showProbability, boolean showError, boolean showWeight)	Turns the result item into a spreadsheet with the predictions.
static SpreadSheet	toSpreadSheet(LoggingSupporter logger, MessageCollection errors, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, boolean showError)	Turns the result item into a spreadsheet with the predictions.
static SpreadSheet	toSpreadSheet(LoggingSupporter logger, MessageCollection errors, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, boolean addLabelIndex, boolean showDistribution, boolean showProbability, boolean showError, boolean showWeight)	Turns the result item into a spreadsheet with the predictions.

Methods inherited from class java.lang.Object

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

Constructor Detail

PredictionHelper

public PredictionHelper()

Method Detail

toSpreadSheet

public static SpreadSheet toSpreadSheet(LoggingSupporter logger,
                                        MessageCollection errors,
                                        ResultItem item,
                                        boolean addAdditionalAttributes,
                                        boolean showError)

Turns the result item into a spreadsheet with the predictions.

Parameters:

logger - the object used for logging, can be null

errors - for collecting errors

item - the result item to use

addAdditionalAttributes - whether to add additional attributes

showError - whether to add the error in a separate column

Returns:

the generated spreadsheet

toSpreadSheet

public static SpreadSheet toSpreadSheet(LoggingSupporter logger,
                                        MessageCollection errors,
                                        weka.classifiers.Evaluation eval,
                                        int[] originalIndices,
                                        SpreadSheet additionalAttributes,
                                        boolean showError)

Turns the result item into a spreadsheet with the predictions.

Parameters:

logger - the object used for logging, can be null

errors - for collecting errors

eval - the evaluation to use

originalIndices - the original indices to use, can be null

additionalAttributes - the additional attributes to add, can be null

showError - whether to add the error in a separate column

Returns:

the generated spreadsheet

toSpreadSheet

public static SpreadSheet toSpreadSheet(LoggingSupporter logger,
                                        MessageCollection errors,
                                        ResultItem item,
                                        boolean addAdditionalAttributes,
                                        boolean addLabelIndex,
                                        boolean showDistribution,
                                        boolean showProbability,
                                        boolean showError,
                                        boolean showWeight)

Turns the result item into a spreadsheet with the predictions.

Parameters:

logger - the object used for logging, can be null

errors - for collecting errors

item - the result item to use

addAdditionalAttributes - whether to add additional attributes

addLabelIndex - whether to add the label index in a separate column

showDistribution - whether to add the distribution in a separate column

showProbability - whether to add the probability in a separate column

showError - whether to add the error in a separate column

showWeight - whether to add the weight in a separate column

Returns:

the generated spreadsheet, null if failed

toSpreadSheet

public static SpreadSheet toSpreadSheet(LoggingSupporter logger,
                                        MessageCollection errors,
                                        weka.classifiers.Evaluation eval,
                                        int[] originalIndices,
                                        SpreadSheet additionalAttributes,
                                        boolean addLabelIndex,
                                        boolean showDistribution,
                                        boolean showProbability,
                                        boolean showError,
                                        boolean showWeight)

Turns the result item into a spreadsheet with the predictions.

Parameters:

logger - the object used for logging, can be null

errors - for collecting errors

eval - the evaluation to use

originalIndices - the original indices to use, can be null

additionalAttributes - the additional attributes to use, can be null

addLabelIndex - whether to add the label index in a separate column

showDistribution - whether to add the distribution in a separate column

showProbability - whether to add the probability in a separate column

showError - whether to add the error in a separate column

showWeight - whether to add the weight in a separate column

Returns:

the generated spreadsheet, null if failed