369.5. Samples

第一个示例演示了如何使用文件组件读取 CSV 文件，然后将其传递到 Weka。在 Weka 中，我们对数据集应用几个过滤器，然后将它传递给文件组件以进行编写。

    @Override
    public void configure() throws Exception {

        // Use the file component to read the CSV file
        from("file:src/test/resources/data?fileName=sfny.csv")

        // Convert the 'in_sf' attribute to nominal
        .to("weka:filter?apply=NumericToNominal -R first")

        // Move the 'in_sf' attribute to the end
        .to("weka:filter?apply=Reorder -R 2-last,1")

        // Rename the relation
        .to("weka:filter?apply=RenameRelation -modify sfny")

        // Use the file component to write the Arff file
        .to("file:target/data?fileName=sfny.arff")
    }

在这里，我们在不使用文件组件的情况下执行以上操作。

    @Override
    public void configure() throws Exception {

        // Initiate the route from somewhere
        .from("...")

        // Use Weka to read the CSV file
        .to("weka:read?path=src/test/resources/data/sfny.csv")

        // Convert the 'in_sf' attribute to nominal
        .to("weka:filter?apply=NumericToNominal -R first")

        // Move the 'in_sf' attribute to the end
        .to("weka:filter?apply=Reorder -R 2-last,1")

        // Rename the relation
        .to("weka:filter?apply=RenameRelation -modify sfny")

        // Use Weka to write the Arff file
        .to("weka:write?path=target/data/sfny.arff");
    }

在本例中，客户端会提供输入路径或其它支持的类型。查看用于一组支持的输入类型的 WekaTypeConverters。

    @Override
    public void configure() throws Exception {

        // Initiate the route from somewhere
        .from("...")

        // Convert the 'in_sf' attribute to nominal
        .to("weka:filter?apply=NumericToNominal -R first")

        // Move the 'in_sf' attribute to the end
        .to("weka:filter?apply=Reorder -R 2-last,1")

        // Rename the relation
        .to("weka:filter?apply=RenameRelation -modify sfny")

        // Use Weka to write the Arff file
        .to("weka:write?path=target/data/sfny.arff");
    }

在构建模型时，我们首先选择要使用的分类算法，然后将其与某些数据进行培训。结果是经过培训的模式，稍后我们用来对不可预见的数据进行分类。

在这里，我们培训了 10 倍的跨验证方式的 J48。

try (CamelContext camelctx = new DefaultCamelContext()) {

    camelctx.addRoutes(new RouteBuilder() {

        @Override
        public void configure() throws Exception {

            // Use the file component to read the training data
            from("file:src/test/resources/data?fileName=sfny-train.arff")

            // Build a J48 classifier using cross-validation with 10 folds
            .to("weka:model?build=J48&xval=true&folds=10&seed=1")

            // Persist the J48 model
            .to("weka:model?saveTo=src/test/resources/data/sfny-j48.model")
        }
    });
    camelctx.start();
}

在这里，我们使用 处理器访问不是直接从端点 URI 提供的功能。

如果您直接出现此语法，则可能需要查看有关 Nessus API 概念 的部分。

try (CamelContext camelctx = new DefaultCamelContext()) {

    camelctx.addRoutes(new RouteBuilder() {

        @Override
        public void configure() throws Exception {

            // Use the file component to read the test data
            from("file:src/test/resources/data?fileName=sfny-test.arff")

            // Remove the class attribute
            .to("weka:filter?apply=Remove -R last")

            // Add the 'prediction' placeholder attribute
            .to("weka:filter?apply=Add -N predicted -T NOM -L 0,1")

            // Rename the relation
            .to("weka:filter?apply=RenameRelation -modify sfny-predicted")

            // Load an already existing model
            .to("weka:model?loadFrom=src/test/resources/data/sfny-j48.model")

            // Use a processor to do the prediction
            .process(new Processor() {
                public void process(Exchange exchange) throws Exception {
                    Dataset dataset = exchange.getMessage().getBody(Dataset.class);
                    dataset.applyToInstances(new NominalPredictor());
                }
            })

            // Write the data file
            .to("weka:write?path=src/test/resources/data/sfny-predicted.arff")
        }
    });
    camelctx.start();
}