List of SelectAttributes() Examples

Examples of SelectAttributes()

com.webobjects.eoaccess.EOAdaptorChannel.selectAttributes()
org.exist.memtree.NodeImpl.selectAttributes()
weka.attributeSelection.AttributeSelection.SelectAttributes()
Perform attribute selection with a particular evaluator and a set of options specifying search method and input file etc. @param ASEvaluator an evaluator object @param options an array of options, not only for the evaluatorbut also the search method (if any) and an input data file @return the results of attribute selection as a String @exception Exception if no training file is set

Examples of com.webobjects.eoaccess.EOAdaptorChannel.selectAttributes()


                   NSMutableDictionary databaseSnapshotClone;
                   NSMutableDictionary memorySnapshotClone = snapshot.mutableClone();
                   EOAdaptorChannel channel = databaseContext.availableChannel().adaptorChannel();
                   channel.openChannel();
                   channel.selectAttributes(entity.attributesToFetch(), gidFetchSpec, false, entity);
                   try {
                     databaseSnapshotClone = channel.fetchRow().mutableClone();
                   }
                   finally {
                     channel.cancelFetch();

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Examples of com.webobjects.eoaccess.EOAdaptorChannel.selectAttributes()

                       EOQualifier qualifier = relationship.qualifierWithSourceRow(database.snapshotForGlobalID(keyGID));
                       EOFetchSpecification relationshipFetchSpec = new EOFetchSpecification(entityName, qualifier, null);
                       EOAdaptorChannel channel = databaseContext.availableChannel().adaptorChannel();
                       channel.openChannel();
                       try {
                         channel.selectAttributes(relationship.destinationEntity().attributesToFetch(), relationshipFetchSpec, false, relationship.destinationEntity());
                         NSDictionary destinationSnapshot = null;
                         do {
                           destinationSnapshot = channel.fetchRow();
                           if (destinationSnapshot != null) {
                             EOGlobalID destinationGID = relationship.destinationEntity().globalIDForRow(destinationSnapshot);

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Examples of org.exist.memtree.NodeImpl.selectAttributes()

        sortInDocumentOrder();
        final ValueSequence nodes = new ValueSequence(true);
        nodes.keepUnOrdered(keepUnOrdered);
        for (int i = 0; i <= size; i++) {
            final NodeImpl node = (NodeImpl) values[i];
            node.selectAttributes(test, nodes);
        }
        return nodes;
    }


    public Sequence getDescendantAttributes(NodeTest test) throws XPathException {

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Examples of weka.attributeSelection.AttributeSelection.SelectAttributes()

   */
  public void evaluateAttributes(String corpusName, String featureSetName,
      String splitName, Instances inst, String label, Integer run,
      Integer fold) throws Exception {
    AttributeSelection ae = this.getAttributeSelection();
    ae.SelectAttributes(inst);
    double rankedAttributes[][] = ae.rankedAttributes();
    FeatureEvaluation fe = initializeFeatureEvaluation(corpusName,
        featureSetName, splitName, label, run, fold);
    List<FeatureRank> featureRanks = new ArrayList<FeatureRank>(
        rankedAttributes.length);

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Examples of weka.attributeSelection.AttributeSelection.SelectAttributes()

      }
            
      switch (testMode) {
        case 0: // select using training
        m_Log.statusMessage(Messages.getInstance().getString("AttributeSelectionPanel_StartAttributeSelection_Run_Log_StatusMessage_Text_First"));
        eval.SelectAttributes(inst);
        break;


        case 1: // CV mode
        m_Log.statusMessage(Messages.getInstance().getString("AttributeSelectionPanel_StartAttributeSelection_Run_Log_StatusMessage_Text_Second"));
        Random random = new Random(seed);

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Examples of weka.attributeSelection.AttributeSelection.SelectAttributes()

      }
            
      switch (testMode) {
        case 0: // select using training
        m_Log.statusMessage("Evaluating on training data...");
        eval.SelectAttributes(inst);
        break;


        case 1: // CV mode
        m_Log.statusMessage("Randomizing instances...");
        Random random = new Random(seed);

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Examples of weka.attributeSelection.AttributeSelection.SelectAttributes()

      }
            
      switch (testMode) {
        case 0: // select using training
        m_Log.statusMessage("Evaluating on training data...");
        eval.SelectAttributes(inst);
        break;


        case 1: // CV mode
        m_Log.statusMessage("Randomizing instances...");
        Random random = new Random(seed);

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