Examples of evaluateFinal()

Examples of com.facebook.presto.operator.aggregation.Accumulator.evaluateFinal()

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        typeRegistry.addType(new ModelType());
        metadata.addFunctions(new MLFunctionFactory(typeRegistry).listFunctions());
        InternalAggregationFunction aggregation = metadata.getExactFunction(new Signature("evaluate_classifier_predictions", StandardTypes.VARCHAR, StandardTypes.BIGINT, StandardTypes.BIGINT)).getAggregationFunction();
        Accumulator accumulator = aggregation.bind(ImmutableList.of(0, 1), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0).createAccumulator();
        accumulator.addInput(getPage());
        Block block = accumulator.evaluateFinal();

        String output = VARCHAR.getSlice(block, 0).toStringUtf8();
        List<String> parts = ImmutableList.copyOf(Splitter.on('\n').split(output));
        assertEquals(parts.size(), 3);
        assertEquals(parts.get(0), "Accuracy: 1/2 (50.00%)");
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Examples of com.facebook.presto.operator.aggregation.Accumulator.evaluateFinal()

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        typeRegistry.addType(new ModelType());
        metadata.addFunctions(new MLFunctionFactory(typeRegistry).listFunctions());
        InternalAggregationFunction aggregation = metadata.getExactFunction(new Signature("evaluate_classifier_predictions", StandardTypes.VARCHAR, StandardTypes.BIGINT, StandardTypes.BIGINT)).getAggregationFunction();
        Accumulator accumulator = aggregation.bind(ImmutableList.of(0, 1), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0).createAccumulator();
        accumulator.addInput(getPage());
        Block block = accumulator.evaluateFinal();

        String output = VARCHAR.getSlice(block, 0).toStringUtf8();
        List<String> parts = ImmutableList.copyOf(Splitter.on('\n').split(output));
        assertEquals(parts.size(), 3);
        assertEquals(parts.get(0), "Accuracy: 1/2 (50.00%)");
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Examples of com.facebook.presto.operator.aggregation.Accumulator.evaluateFinal()

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        MetadataManager metadata = new MetadataManager();
        metadata.addFunctions(new MLFunctionFactory().listFunctions());
        InternalAggregationFunction aggregation = metadata.getExactFunction(new Signature("evaluate_classifier_predictions", VARCHAR, BIGINT, BIGINT)).getAggregationFunction();
        Accumulator accumulator = aggregation.createAggregation(Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0, 0, 1);
        accumulator.addInput(getPage());
        Block block = accumulator.evaluateFinal();

        String output = VARCHAR.getSlice(block, 0).toStringUtf8();
        List<String> parts = ImmutableList.copyOf(Splitter.on('\n').split(output));
        assertEquals(parts.size(), 3);
        assertEquals(parts.get(0), "Accuracy: 1/2 (50.00%)");
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