Uses of Class
adams.flow.core.EvaluationStatistic
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Uses of EvaluationStatistic in adams.flow.core
Methods in adams.flow.core that return EvaluationStatistic Modifier and Type Method Description EvaluationStatistic
EvaluationStatistic. parse(String s)
Parses the given string and returns the associated enum.static EvaluationStatistic
EvaluationStatistic. valueOf(AbstractOption option, String str)
Returns an enum generated from the string.static EvaluationStatistic
EvaluationStatistic. valueOf(String name)
Returns the enum constant of this type with the specified name.static EvaluationStatistic[]
EvaluationStatistic. values()
Returns an array containing the constants of this enum type, in the order they are declared.Methods in adams.flow.core with parameters of type EvaluationStatistic Modifier and Type Method Description static double
EvaluationHelper. getValue(weka.classifiers.Evaluation eval, EvaluationStatistic statistic, int classIndex)
Returns a statistical value from the evaluation object. -
Uses of EvaluationStatistic in adams.flow.transformer
Fields in adams.flow.transformer declared as EvaluationStatistic Modifier and Type Field Description protected EvaluationStatistic
WekaEvaluationValuePicker. m_StatisticValue
the comparison field.protected EvaluationStatistic[]
WekaBootstrapping. m_StatisticValues
the comparison fields.protected EvaluationStatistic[]
WekaEvaluationValues. m_StatisticValues
the comparison fields.Methods in adams.flow.transformer that return EvaluationStatistic Modifier and Type Method Description EvaluationStatistic
WekaEvaluationValuePicker. getStatisticValue()
Returns the value to extract.EvaluationStatistic[]
WekaBootstrapping. getStatisticValues()
Returns the values to extract.EvaluationStatistic[]
WekaEvaluationValues. getStatisticValues()
Returns the values to extract.Methods in adams.flow.transformer with parameters of type EvaluationStatistic Modifier and Type Method Description protected String
WekaEvaluationValues. addStatistic(weka.classifiers.Evaluation eval, SpreadSheet sheet, EvaluationStatistic statistic, int classIndex, boolean useIndex)
Adds the specified statistic to the spreadsheet.void
WekaEvaluationValuePicker. setStatisticValue(EvaluationStatistic value)
Sets the value to extract.void
WekaBootstrapping. setStatisticValues(EvaluationStatistic[] value)
Sets the values to extract.void
WekaEvaluationValues. setStatisticValues(EvaluationStatistic[] value)
Sets the values to extract. -
Uses of EvaluationStatistic in adams.flow.transformer.wekarepeatedcrossvalidationoutput
Fields in adams.flow.transformer.wekarepeatedcrossvalidationoutput declared as EvaluationStatistic Modifier and Type Field Description protected EvaluationStatistic[]
Statistics. m_Statistics
the statistics to output.Methods in adams.flow.transformer.wekarepeatedcrossvalidationoutput that return EvaluationStatistic Modifier and Type Method Description EvaluationStatistic[]
Statistics. getStatistics()
Returns the statistics to output.Methods in adams.flow.transformer.wekarepeatedcrossvalidationoutput with parameters of type EvaluationStatistic Modifier and Type Method Description void
Statistics. setStatistics(EvaluationStatistic[] value)
Sets the statistics to output. -
Uses of EvaluationStatistic in adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated
Fields in adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated declared as EvaluationStatistic Modifier and Type Field Description protected EvaluationStatistic[]
Statistics. m_Statistics
the statistics to output.Methods in adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated that return EvaluationStatistic Modifier and Type Method Description EvaluationStatistic[]
Statistics. getStatistics()
Returns the statistics to output.Methods in adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated with parameters of type EvaluationStatistic Modifier and Type Method Description void
Statistics. setStatistics(EvaluationStatistic[] value)
Sets the statistics to output. -
Uses of EvaluationStatistic in adams.opt.genetic
Methods in adams.opt.genetic that return EvaluationStatistic Modifier and Type Method Description EvaluationStatistic
Measure. toEvaluationStatistic()
Converts the measure intoEvaluationStatistic
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Uses of EvaluationStatistic in weka.classifiers.meta
Fields in weka.classifiers.meta declared as EvaluationStatistic Modifier and Type Field Description static EvaluationStatistic
ClassifierCascade. DEFAULT_STATISTIC
protected EvaluationStatistic
ClassifierCascade. m_Statistic
the statistic to use for termination.Methods in weka.classifiers.meta that return EvaluationStatistic Modifier and Type Method Description EvaluationStatistic
ClassifierCascade. getStatistic()
the statistic to use for termination.Methods in weka.classifiers.meta with parameters of type EvaluationStatistic Modifier and Type Method Description void
ClassifierCascade. setStatistic(EvaluationStatistic statistic)
the statistic to use for termination.
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