2

我试图弄清楚如何在 datavec 转换步骤中获取字段的滞后值。

这是一个基于 dl4j 示例的小示例:

import org.datavec.api.records.reader.RecordReader;
import org.datavec.api.records.reader.impl.csv.CSVRecordReader;
import org.datavec.api.split.FileSplit;
import org.datavec.api.transform.TransformProcess;
import org.datavec.api.transform.schema.Schema;
import org.datavec.api.writable.Writable;
import org.datavec.local.transforms.LocalTransformExecutor;
import org.nd4j.linalg.io.ClassPathResource;

import java.io.File;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;

public class myExample {

    public static void main(String[] args) throws  Exception {

        Schema inputDataSchema = new Schema.Builder()
            .addColumnString("DateTimeString")
            .addColumnsString("CustomerID", "MerchantID")
            .addColumnInteger("NumItemsInTransaction")
            .addColumnCategorical("MerchantCountryCode", Arrays.asList("USA","CAN","FR","MX"))
            .addColumnDouble("TransactionAmountUSD",0.0,null,false,false)   //$0.0 or more, no maximum limit, no NaN and no Infinite values
            .addColumnCategorical("FraudLabel", Arrays.asList("Fraud","Legit"))
            .build();

        TransformProcess tp = new TransformProcess.Builder(inputDataSchema)
            .removeAllColumnsExceptFor("DateTimeString","TransactionAmountUSD")
            .build();

        File inputFile = new ClassPathResource("BasicDataVecExample/exampledata.csv").getFile();

        //Define input reader and output writer:
        RecordReader rr = new CSVRecordReader(1, ',');
        rr.initialize(new FileSplit(inputFile));

        //Process the data:
        List<List<Writable>> originalData = new ArrayList<>();
        while(rr.hasNext()){
            originalData.add(rr.next());
        }

        List<List<Writable>> processedData = LocalTransformExecutor.execute(originalData, tp);

        int numRows = 5;

        System.out.println("=== BEFORE ===");

        for (int i=0;i<=numRows;i++) {
            System.out.println(originalData.get(i));
        }

        System.out.println("=== AFTER ===");
        for (int i=0;i<=numRows;i++) {
            System.out.println(processedData.get(i));
        }

    }

}

我正在寻找一个滞后值(由 排序DateTimeStringTransactionAmountUSD

我正在查看文档中的 sequenceMovingWindowReduce但无法弄清楚。在示例存储库中也无法真正找到任何与此类似的 示例。

4

1 回答 1

2

感谢 Alex Black 在dl4j gitter 频道上的一些帮助,我可以发布自己的答案。

给 dl4j 新手的提示 -除了示例和教程之外,测试代码中还有很多好东西可以看。

这是我更新的玩具示例代码:

package org.datavec.transform.basic;

import org.datavec.api.records.reader.RecordReader;
import org.datavec.api.records.reader.impl.csv.CSVRecordReader;
import org.datavec.api.split.FileSplit;
import org.datavec.api.transform.TransformProcess;
import org.datavec.api.transform.schema.Schema;
import org.datavec.api.transform.sequence.comparator.NumericalColumnComparator;
import org.datavec.api.transform.transform.sequence.SequenceOffsetTransform;
import org.datavec.api.writable.Writable;
import org.datavec.local.transforms.LocalTransformExecutor;
import org.joda.time.DateTimeZone;
import org.nd4j.linalg.io.ClassPathResource;

import java.io.File;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;

public class myExample {

    public static void main(String[] args) throws  Exception {

        Schema inputDataSchema = new Schema.Builder()
            .addColumnString("DateTimeString")
            .addColumnsString("CustomerID", "MerchantID")
            .addColumnInteger("NumItemsInTransaction")
            .addColumnCategorical("MerchantCountryCode", Arrays.asList("USA","CAN","FR","MX"))
            .addColumnDouble("TransactionAmountUSD",0.0,null,false,false)   //$0.0 or more, no maximum limit, no NaN and no Infinite values
            .addColumnCategorical("FraudLabel", Arrays.asList("Fraud","Legit"))
            .build();

        TransformProcess tp = new TransformProcess.Builder(inputDataSchema)
            .removeAllColumnsExceptFor("CustomerID", "DateTimeString","TransactionAmountUSD")
            .stringToTimeTransform("DateTimeString","YYYY-MM-DD HH:mm:ss.SSS", DateTimeZone.UTC)
            .convertToSequence(Arrays.asList("CustomerID"), new NumericalColumnComparator("DateTimeString"))
            .offsetSequence(Arrays.asList("TransactionAmountUSD"),1, SequenceOffsetTransform.OperationType.NewColumn)
            .build();

        File inputFile = new ClassPathResource("BasicDataVecExample/exampledata.csv").getFile();

        //Define input reader and output writer:
        RecordReader rr = new CSVRecordReader(0, ',');
        rr.initialize(new FileSplit(inputFile));

        //Process the data:
        List<List<Writable>> originalData = new ArrayList<>();
        while(rr.hasNext()){
            originalData.add(rr.next());
        }

        List<List<List<Writable>>> processedData = LocalTransformExecutor.executeToSequence(originalData, tp);

        System.out.println("=== BEFORE ===");

        for (int i=0;i<originalData.size();i++) {
            System.out.println(originalData.get(i));
        }

        System.out.println("=== AFTER ===");
        for (int i=0;i<processedData.size();i++) {
            System.out.println(processedData.get(i));
        }

    }

}

这应该会给出一些输出,如下所示,您可以在其中看到一个 now col,其中添加了每个客户 ID 的交易金额的最后一个值。

"C:\Program Files\Java\jdk1.8.0_201\bin\java.exe" "-javaagent:C:\Program Files\JetBrains\IntelliJ IDEA Community Edition 2019.1\lib\idea_rt.jar=56103:C:\Program Files\JetBrains\IntelliJ IDEA Community Edition 2019.1\bin" -Dfile.encoding=UTF-8 -classpath "C:\Program Files\Java\jdk1.8.0_201\jre\lib\charsets.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\deploy.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\ext\access-bridge-64.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\ext\cldrdata.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\ext\dnsns.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\ext\jaccess.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\ext\jfxrt.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\ext\localedata.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\ext\nashorn.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\ext\sunec.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\ext\sunjce_provider.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\ext\sunmscapi.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\ext\sunpkcs11.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\ext\zipfs.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\javaws.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\jce.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\jfr.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\jfxswt.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\jsse.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\management-agent.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\plugin.jar;C:\Program Files\Java\jdk1.8.0_201\jre\lib\resources.jar;C:\Program 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m\fasterxml\jackson\core\jackson-annotations\2.5.1\jackson-annotations-2.5.1.jar;C:\Users\amaguire\.m2\repository\javax\servlet\javax.servlet-api\3.1.0\javax.servlet-api-3.1.0.jar;C:\Users\amaguire\.m2\repository\org\apache\commons\commons-compress\1.16.1\commons-compress-1.16.1.jar;C:\Users\amaguire\.m2\repository\org\apache\commons\commons-math3\3.5\commons-math3-3.5.jar;C:\Users\amaguire\.m2\repository\org\apache\curator\curator-recipes\2.8.0\curator-recipes-2.8.0.jar;C:\Users\amaguire\.m2\repository\org\apache\curator\curator-framework\2.8.0\curator-framework-2.8.0.jar;C:\Users\amaguire\.m2\repository\org\apache\curator\curator-client\2.8.0\curator-client-2.8.0.jar;C:\Users\amaguire\.m2\repository\org\apache\zookeeper\zookeeper\3.4.6\zookeeper-3.4.6.jar;C:\Users\amaguire\.m2\repository\jline\jline\0.9.94\jline-0.9.94.jar;C:\Users\amaguire\.m2\repository\com\typesafe\config\1.3.0\config-1.3.0.jar;C:\Users\amaguire\.m2\repository\org\datavec\datavec-hadoop\1.0.0-beta3\datavec-hadoop-1.0.0-beta3.jar;C:\Users\amaguire\.m2\repository\org\datavec\datavec-local\1.0.0-beta3\datavec-local-1.0.0-beta3.jar;C:\Users\amaguire\.m2\repository\com\codepoetics\protonpack\1.15\protonpack-1.15.jar;C:\Users\amaguire\.m2\repository\org\datavec\datavec-arrow\1.0.0-beta3\datavec-arrow-1.0.0-beta3.jar;C:\Users\amaguire\.m2\repository\org\nd4j\nd4j-arrow\1.0.0-beta3\nd4j-arrow-1.0.0-beta3.jar;C:\Users\amaguire\.m2\repository\com\fasterxml\jackson\dataformat\jackson-dataformat-yaml\2.6.5\jackson-dataformat-yaml-2.6.5.jar;C:\Users\amaguire\.m2\repository\com\fasterxml\jackson\dataformat\jackson-dataformat-xml\2.6.5\jackson-dataformat-xml-2.6.5.jar;C:\Users\amaguire\.m2\repository\com\fasterxml\jackson\module\jackson-module-jaxb-annotations\2.6.5\jackson-module-jaxb-annotations-2.6.5.jar;C:\Users\amaguire\.m2\repository\com\fasterxml\jackson\datatype\jackson-datatype-joda\2.6.5\jackson-datatype-joda-2.6.5.jar;C:\Users\amaguire\.m2\repository\com\carrotsearch\hppc\0.8.1\hppc-0.8.1.jar;C:\Users\amaguire\.m2\repository\org\apache\arrow\arrow-vector\0.11.0\arrow-vector-0.11.0.jar;C:\Users\amaguire\.m2\repository\io\netty\netty-buffer\4.1.22.Final\netty-buffer-4.1.22.Final.jar;C:\Users\amaguire\.m2\repository\io\netty\netty-common\4.1.22.Final\netty-common-4.1.22.Final.jar;C:\Users\amaguire\.m2\repository\org\apache\arrow\arrow-memory\0.11.0\arrow-memory-0.11.0.jar;C:\Users\amaguire\.m2\repository\org\apache\arrow\arrow-format\0.11.0\arrow-format-0.11.0.jar" org.datavec.transform.basic.myExample
log4j:WARN No appenders could be found for logger (io.netty.util.internal.logging.InternalLoggerFactory).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
=== BEFORE ===
[2016-01-01 17:00:00.000, 830a7u3, u323fy8902, 1, USA, 100.00, Legit]
[2016-01-01 18:03:01.256, 830a7u3, 9732498oeu, 3, FR, 73.20, Legit]
[2016-01-03 02:53:32.231, 78ueoau32, w234e989, 1, USA, 1621.00, Fraud]
[2016-01-03 09:30:16.832, t842uocd, 9732498oeu, 4, USA, 43.19, Legit]
[2016-01-04 23:01:52.920, t842uocd, cza8873bm, 10, MX, 159.65, Legit]
[2016-01-05 02:28:10.648, t842uocd, fgcq9803, 6, CAN, 26.33, Fraud]
[2016-01-05 10:15:36.483, rgc707ke3, tn342v7, 2, USA, -0.90, Legit]
=== AFTER ===
[[1451948512920, t842uocd, 159.65, 43.19], [1451960890648, t842uocd, 26.33, 159.65]]
[[1451671381256, 830a7u3, 73.20, 100.00]]
[]
[]

Process finished with exit code 0
于 2019-05-09T10:37:57.840 回答