Examples of cascading.tuple.TupleListCollector.entryIterator()

Class cascading.tuple.TupleListCollector

Examples of cascading.tuple.TupleListCollector.entryIterator()

cascading.tuple.TupleListCollector.entryIterator()
Method entryIterator return a TupleEntry iterator for this collection.
Note the same TupleEntry will be returned on each next() call. @return Iterator

    TupleEntry tupleArguments = new TupleEntry( expectedFields, new Tuple( 6.4d, 3.1d, 5.5d, 1.8d ) );


    TupleListCollector collector = invokeFunction( clusteringFunction, tupleArguments, predictedFields );


//    assertEquals( new Tuple( "2" ), collector.entryIterator().next().getTuple() );
    assertEquals( new Tuple( "3" ), collector.entryIterator().next().getTuple() );
    }


  @Test
  public void testTree()
    {

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    TupleEntry tupleArguments = new TupleEntry( expectedFields, new Tuple( 0d, 1d, 0d ) );


    TupleListCollector collector = invokeFunction( treeFunction, tupleArguments, predictedFields );


    assertEquals( new Tuple( "1" ), collector.entryIterator().next().getTuple() );
    }


  /**
   * <MiningSchema>
   * <MiningField name="setosa" usageType="predicted"/>

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    TupleEntry tupleArguments = new TupleEntry( expectedFields, new Tuple( 5.1d, 3.8d, 1.6d, 0.2d ) );


    TupleListCollector collector = invokeFunction( regressionFunction, tupleArguments, predictedFields );


    assertEquals( 1.0d, collector.entryIterator().next().getTuple().getDouble( 0 ), 0.00001d );
    }


  /**
   * <MiningSchema>
   * <MiningField name="sepal_length" usageType="predicted"/>

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    TupleEntry tupleArguments = new TupleEntry( expectedFields, new Tuple( 3d, 1.3d, 0.2d, "setosa" ) );


    TupleListCollector collector = invokeFunction( regressionFunction, tupleArguments, predictedFields );


    assertEquals( new Tuple( 4.70048473693065d ), collector.entryIterator().next().getTuple() );
    }


  /**
   * <RegressionModel modelName="multinom_Model" functionName="classification" algorithmName="multinom" normalizationMethod="softmax">
   * <MiningSchema>

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    {
    TupleEntry tupleArguments = new TupleEntry( expectedFields, new Tuple( 7d, 3.2d, 4.7d, 1.4d ) );


    TupleListCollector collector = invokeFunction( regressionFunction, tupleArguments, modelSchema.getDeclaredFields() );


    assertEquals( "versicolor", collector.entryIterator().next().getTuple().getObject( 0 ) );
    }


    {
    TupleEntry tupleArguments = new TupleEntry( expectedFields, new Tuple( 5.8d, 4d, 1.2d, 0.2d ) );

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    {
    TupleEntry tupleArguments = new TupleEntry( expectedFields, new Tuple( 5.8d, 4d, 1.2d, 0.2d ) );


    TupleListCollector collector = invokeFunction( regressionFunction, tupleArguments, modelSchema.getDeclaredFields() );


    assertEquals( "setosa", collector.entryIterator().next().getTuple().getObject( 0 ) );
    }
    }
  }

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  private Object evaluate( ExpressionFunction function, TupleEntry tupleEntry )
    {
    TupleListCollector tuples = invokeFunction( function, tupleEntry, function.getFieldDeclaration() );


    return tuples.entryIterator().next().getObject( 0 );
    }


  private TupleEntry getEntry( Fields fields, Comparable lhs, Comparable rhs )
    {
    Tuple parameters = new Tuple( lhs, rhs );

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