Java 类名:com.alibaba.alink.operator.batch.feature.BinarizerBatchOp
Python 类名:BinarizerBatchOp

功能介绍

给定一个阈值,将连续变量二值化(大于等于阈值转为1,小于阈值转为0)。

参数说明

名称 中文名称 描述 类型 是否必须? 取值范围 默认值
selectedCol 选中的列名 计算列对应的列名 String 所选列类型为 [BIGDECIMAL, BIGINTEGER, BYTE, DOUBLE, FLOAT, INTEGER, LONG, SHORT]
outputCol 输出结果列 输出结果列列名,可选,默认null String null
reservedCols 算法保留列名 算法保留列 String[] null
threshold 二值化阈值 二值化阈值 Double 0.0
numThreads 组件多线程线程个数 组件多线程线程个数 Integer 1

代码示例

Python 代码

  1. from pyalink.alink import *
  2. import pandas as pd
  3. useLocalEnv(1)
  4. df = pd.DataFrame([
  5. [1.1, True, "2", "A"],
  6. [1.1, False, "2", "B"],
  7. [1.1, True, "1", "B"],
  8. [2.2, True, "1", "A"]
  9. ])
  10. inOp1 = BatchOperator.fromDataframe(df, schemaStr='double double, bool boolean, number int, str string')
  11. inOp2 = StreamOperator.fromDataframe(df, schemaStr='double double, bool boolean, number int, str string')
  12. binarizer = BinarizerBatchOp().setSelectedCol("double").setThreshold(2.0)
  13. binarizer.linkFrom(inOp1).print()
  14. binarizer = BinarizerStreamOp().setSelectedCol("double").setThreshold(2.0)
  15. binarizer.linkFrom(inOp2).print()
  16. StreamOperator.execute()

Java 代码

  1. import org.apache.flink.types.Row;
  2. import com.alibaba.alink.operator.batch.BatchOperator;
  3. import com.alibaba.alink.operator.batch.feature.BinarizerBatchOp;
  4. import com.alibaba.alink.operator.batch.source.MemSourceBatchOp;
  5. import com.alibaba.alink.operator.stream.StreamOperator;
  6. import com.alibaba.alink.operator.stream.feature.BinarizerStreamOp;
  7. import com.alibaba.alink.operator.stream.source.MemSourceStreamOp;
  8. import org.junit.Test;
  9. import java.util.Arrays;
  10. import java.util.List;
  11. public class BinarizerBatchOpTest {
  12. @Test
  13. public void testBinarizerBatchOp() throws Exception {
  14. List <Row> df = Arrays.asList(
  15. Row.of(1.1, true, 2, "A"),
  16. Row.of(1.1, false, 2, "B"),
  17. Row.of(1.1, true, 1, "B"),
  18. Row.of(2.2, true, 1, "A")
  19. );
  20. BatchOperator <?> inOp1 = new MemSourceBatchOp(df, "double double, bool boolean, number int, str string");
  21. StreamOperator <?> inOp2 = new MemSourceStreamOp(df, "double double, bool boolean, number int, str string");
  22. BatchOperator <?> binarizer = new BinarizerBatchOp().setSelectedCol("double").setThreshold(2.0);
  23. binarizer.linkFrom(inOp1).print();
  24. StreamOperator <?> binarizer2 = new BinarizerStreamOp().setSelectedCol("double").setThreshold(2.0);
  25. binarizer2.linkFrom(inOp2).print();
  26. StreamOperator.execute();
  27. }
  28. }

运行结果

输出数据

| double | bool | number | str | | —- | —- | —- | —- |

| 0.0000 | true | 2 | A |

| 0.0000 | false | 2 | B |

| 0.0000 | true | 1 | B |

| 1.0000 | true | 1 | A |