/** * Set a list of method names for additional measures to look for in * SplitEvaluators. This could contain many measures (of which only a subset * may be produceable by the current resultProducer) if an experiment is the * type that iterates over a set of properties. * * @param additionalMeasures an array of measure names, null if none */ @Override public void setAdditionalMeasures(String[] additionalMeasures) { m_AdditionalMeasures = additionalMeasures; if (m_ResultProducer != null) { System.err.println("LearningRateResultProducer: setting additional " + "measures for " + "ResultProducer"); m_ResultProducer.setAdditionalMeasures(m_AdditionalMeasures); } }
/** * Set a list of method names for additional measures to look for in * SplitEvaluators. This could contain many measures (of which only a subset * may be produceable by the current resultProducer) if an experiment is the * type that iterates over a set of properties. * * @param additionalMeasures an array of measure names, null if none */ @Override public void setAdditionalMeasures(String[] additionalMeasures) { m_AdditionalMeasures = additionalMeasures; if (m_ResultProducer != null) { System.err.println("AveragingResultProducer: setting additional " + "measures for " + "ResultProducer"); m_ResultProducer.setAdditionalMeasures(m_AdditionalMeasures); } }
/** * Set a list of method names for additional measures to look for in * SplitEvaluators. This could contain many measures (of which only a subset * may be produceable by the current resultProducer) if an experiment is the * type that iterates over a set of properties. * * @param additionalMeasures an array of measure names, null if none */ @Override public void setAdditionalMeasures(String[] additionalMeasures) { m_AdditionalMeasures = additionalMeasures; if (m_ResultProducer != null) { System.err.println("DatabaseResultProducer: setting additional " + "measures for " + "ResultProducer"); m_ResultProducer.setAdditionalMeasures(m_AdditionalMeasures); } }
/** * Set a list of method names for additional measures to look for in * SplitEvaluators. This could contain many measures (of which only a subset * may be produceable by the current resultProducer) if an experiment is the * type that iterates over a set of properties. * * @param additionalMeasures an array of measure names, null if none */ @Override public void setAdditionalMeasures(String[] additionalMeasures) { m_AdditionalMeasures = additionalMeasures; if (m_ResultProducer != null) { System.err.println("AveragingResultProducer: setting additional " + "measures for " + "ResultProducer"); m_ResultProducer.setAdditionalMeasures(m_AdditionalMeasures); } }
/** * Set a list of method names for additional measures to look for in * SplitEvaluators. This could contain many measures (of which only a subset * may be produceable by the current resultProducer) if an experiment is the * type that iterates over a set of properties. * * @param additionalMeasures an array of measure names, null if none */ @Override public void setAdditionalMeasures(String[] additionalMeasures) { m_AdditionalMeasures = additionalMeasures; if (m_ResultProducer != null) { System.err.println("LearningRateResultProducer: setting additional " + "measures for " + "ResultProducer"); m_ResultProducer.setAdditionalMeasures(m_AdditionalMeasures); } }
/** * Set a list of method names for additional measures to look for in * SplitEvaluators. This could contain many measures (of which only a subset * may be produceable by the current resultProducer) if an experiment is the * type that iterates over a set of properties. * * @param additionalMeasures an array of measure names, null if none */ @Override public void setAdditionalMeasures(String[] additionalMeasures) { m_AdditionalMeasures = additionalMeasures; if (m_ResultProducer != null) { System.err.println("DatabaseResultProducer: setting additional " + "measures for " + "ResultProducer"); m_ResultProducer.setAdditionalMeasures(m_AdditionalMeasures); } }
m_ResultProducer.setAdditionalMeasures(m_AdditionalMeasures); m_ResultProducer.preProcess(); m_ResultProducer.setAdditionalMeasures(columnConstraints);
m_ResultProducer.setAdditionalMeasures(m_AdditionalMeasures); m_ResultProducer.preProcess(); m_ResultProducer.setAdditionalMeasures(columnConstraints);