List of selectAttributesCVSplit() Examples

Examples of selectAttributesCVSplit()

weka.attributeSelection.AttributeSelection.selectAttributesCVSplit()
Select attributes for a split of the data. Calling this function updates the statistics on attribute selection. CVResultsString() returns a string summarizing the results of repeated calls to this function. Assumes that splits are from the same dataset--- ie. have the same number and types of attributes as previous splits. @param split the instances to select attributes from @exception Exception if an error occurs

Examples of weka.attributeSelection.AttributeSelection.selectAttributesCVSplit()

            + (fold + 1) + Messages.getInstance().getString("AttributeSelectionPanel_StartAttributeSelection_Run_Log_StatusMessage_Text_Fifth"));
    Instances train = inst.trainCV(numFolds, fold, random);
    m_Log.statusMessage(Messages.getInstance().getString("AttributeSelectionPanel_StartAttributeSelection_Run_Log_StatusMessage_Text_Sixth")
            + (fold + 1) + Messages.getInstance().getString("AttributeSelectionPanel_StartAttributeSelection_Run_Log_StatusMessage_Text_Seventh"));
    
    eval.selectAttributesCVSplit(train);
        }
        break;
        default:
        throw new Exception(Messages.getInstance().getString("AttributeSelectionPanel_StartAttributeSelection_Run_Exception_Text_Second"));
      }

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Examples of weka.attributeSelection.AttributeSelection.selectAttributesCVSplit()

            + (fold + 1) + "...");
    Instances train = inst.trainCV(numFolds, fold, random);
    m_Log.statusMessage("Selecting attributes using all but fold "
            + (fold + 1) + "...");
    
    eval.selectAttributesCVSplit(train);
        }
        break;
        default:
        throw new Exception("Test mode not implemented");
      }

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Examples of weka.attributeSelection.AttributeSelection.selectAttributesCVSplit()

            + (fold + 1) + "...");
    Instances train = inst.trainCV(numFolds, fold, random);
    m_Log.statusMessage("Selecting attributes using all but fold "
            + (fold + 1) + "...");
    
    eval.selectAttributesCVSplit(train);
        }
        break;
        default:
        throw new Exception("Test mode not implemented");
      }

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