Examples of connectDataInput()

Examples of eu.admire.gridminer.client.toolkit.activity.dt.evaluation.Evaluate.connectDataInput()

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        classifier.addClassName("play");
        classifier.addClassValues(new String[] {"yes", "no"});
        classifier.connectDataInput(query.getDataOutput());
        Evaluate evaluate = new Evaluate();
        evaluate.connectPMMLTreeInput(classifier.getResultOutput());
        evaluate.connectDataInput(query.getDataOutput());
        DeliverToRequestStatus deliverDT = new DeliverToRequestStatus();
        deliverDT.connectInput(classifier.getResultOutput());
        DeliverToRequestStatus deliverEval = new DeliverToRequestStatus();
        deliverEval.connectInput(evaluate.getResultOutput());
        PipelineWorkflow workflow = new PipelineWorkflow();
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Examples of eu.admire.gridminer.client.toolkit.activity.dt.evaluation.Evaluate.connectDataInput()

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        classifier.connectDataInput(join.getResultOutput());
        DeliverToRequestStatus deliverDT = new DeliverToRequestStatus();
        deliverDT.connectInput(classifier.getResultOutput());
        Evaluate evaluate = new Evaluate();
        evaluate.connectPMMLTreeInput(classifier.getResultOutput());
        evaluate.connectDataInput(join.getResultOutput());
        DeliverToRequestStatus deliver = new DeliverToRequestStatus();
        deliver.connectInput(evaluate.getResultOutput());
       
        PipelineWorkflow workflow = new PipelineWorkflow();
        workflow.add(query1);
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Examples of eu.admire.gridminer.client.toolkit.activity.dt.training.SprintClassifier.connectDataInput()

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        query.setResourceID("MySQLResource");
        query.addExpression("SELECT temperature, humidity, outlook, windy, weather.play FROM weather JOIN measurements ON weather.id = measurements.id");
        SprintClassifier classifier = new SprintClassifier();
        classifier.addClassName("play");
        classifier.addClassValues(new String[] {"yes", "no"});
        classifier.connectDataInput(query.getDataOutput());
        Evaluate evaluate = new Evaluate();
        evaluate.connectPMMLTreeInput(classifier.getResultOutput());
        evaluate.connectDataInput(query.getDataOutput());
        DeliverToRequestStatus deliverDT = new DeliverToRequestStatus();
        deliverDT.connectInput(classifier.getResultOutput());
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Examples of eu.admire.gridminer.client.toolkit.activity.dt.training.SprintClassifier.connectDataInput()

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        join.addProjectColumnIds1(new int[] {1,2,3});
        join.addProjectColumnIds2(new int[] {1,2});
        SprintClassifier classifier = new SprintClassifier();
        classifier.addClassName("play");
        classifier.addClassValues(new String[] {"yes", "no"});
        classifier.connectDataInput(join.getResultOutput());
        DeliverToRequestStatus deliverDT = new DeliverToRequestStatus();
        deliverDT.connectInput(classifier.getResultOutput());
        Evaluate evaluate = new Evaluate();
        evaluate.connectPMMLTreeInput(classifier.getResultOutput());
        evaluate.connectDataInput(join.getResultOutput());
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Examples of eu.admire.ogsadai.client.toolkit.activity.datacache.WriteToDataCache.connectDataInput()

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        SQLQuery query = new SQLQuery();
        query.addExpression("SELECT name, address FROM littleblackbook WHERE id<10");
        query.setResourceID("MySQLResource");
        WriteToDataCache write = new WriteToDataCache();
        write.setResourceID(cacheID);
        write.connectDataInput(query.getDataOutput());
       
        workflow = new PipelineWorkflow();
        workflow.add(query);
        workflow.add(write);
        executeWorkflow(drer, workflow);
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Examples of eu.admire.ogsadai.client.toolkit.activity.datacache.WriteToDataCache.connectDataInput()

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        SQLQuery query = new SQLQuery();
        query.addExpression(sql);
        query.setResourceID("MySQLResource");
        WriteToDataCache write = new WriteToDataCache();
        write.setResourceID(cacheID);
        write.connectDataInput(query.getDataOutput());
       
        PipelineWorkflow toCache = new PipelineWorkflow();
        toCache.add(query);
        toCache.add(write);
       
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Examples of eu.admire.ogsadai.client.toolkit.activity.datacache.WriteToDataCache.connectDataInput()

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        SQLQuery query = new SQLQuery();
        query.addExpression(sql);
        query.setResourceID("MySQLResource");
        WriteToDataCache write = new WriteToDataCache();
        write.setResourceID(cacheID);
        write.connectDataInput(query.getDataOutput());
       
        PipelineWorkflow toCache = new PipelineWorkflow();
        toCache.add(query);
        toCache.add(write);
        executeWorkflow(drer, toCache);
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Examples of eu.admire.ogsadai.client.toolkit.activity.datacache.WriteToDataCache.connectDataInput()

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        SQLQuery query = new SQLQuery();
        query.addExpression(sql);
        query.setResourceID("MySQLResource");
        WriteToDataCache write = new WriteToDataCache();
        write.setResourceID(cacheID);
        write.connectDataInput(query.getDataOutput());
        TupleToWebRowSetCharArrays tupleToWRS = new TupleToWebRowSetCharArrays();
        tupleToWRS.connectDataInput(query.getDataOutput());
        deliver = new DeliverToRequestStatus();
        deliver.connectInput(tupleToWRS.getResultOutput());
       
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Examples of eu.admire.ogsadai.client.toolkit.activity.filter.ConditionalSplit.connectDataInput()

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        query.addExpression("SELECT * FROM replace_values");
        CalculateMean mean = new CalculateMean();
        mean.connectDataInput(query.getDataOutput());
        ConditionalSplit split = new ConditionalSplit();
        split.addCondition("A>=3.0 AND A<3.5 OR A IS NULL");
        split.connectDataInput(query.getDataOutput());
        ReplaceWithValue replace = new ReplaceWithValue();
        replace.connectValuesInput(mean.getDataOutput());
        replace.connectDataInput(split.getTrueOutput());
        replace.addColumns(new int[]{0});
        TupleUnionAll union = new TupleUnionAll();
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Examples of eu.admire.ogsadai.client.toolkit.activity.statistics.CalculateMean.connectDataInput()

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        }
        SQLQuery query = new SQLQuery();
        query.setResourceID(resource);
        query.addExpression("SELECT * FROM replace_values");
        CalculateMean mean = new CalculateMean();
        mean.connectDataInput(query.getDataOutput());
        ConditionalSplit split = new ConditionalSplit();
        split.addCondition("A>=3.0 AND A<3.5 OR A IS NULL");
        split.connectDataInput(query.getDataOutput());
        ReplaceWithValue replace = new ReplaceWithValue();
        replace.connectValuesInput(mean.getDataOutput());
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