ALINK(二十六)：特征工程特征离散化二值化 (BinarizerBatchOp)

Posted 2021-06-18 秋华

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。

参数说明

名称	中文名称	描述	类型	是否必须？	默认值
selectedCol	选中的列名	计算列对应的列名	String	✓
threshold	二值化阈值	二值化阈值	Double		0.0
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
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

from pyalink.alink import *
import pandas as pd
useLocalEnv(1)
df = pd.DataFrame([
    [1.1, True, "2", "A"],
    [1.1, False, "2", "B"],
    [1.1, True, "1", "B"],
    [2.2, True, "1", "A"]
])
inOp1 = BatchOperator.fromDataframe(df, schemaStr=\'double double, bool boolean, number int, str string\',op_type=\'batch\')
inOp2 = StreamOperator.fromDataframe(df, schemaStr=\'double double, bool boolean, number int, str string\',op_type=\'stream\')
binarizer = BinarizerBatchOp().setSelectedCol("double").setThreshold(2.0)
binarizer.linkFrom(inOp1).print()
binarizer = BinarizerStreamOp().setSelectedCol("double").setThreshold(2.0)
binarizer.linkFrom(inOp2).print()
StreamOperator.execute()

Java 代码

import org.apache.flink.types.Row;
import com.alibaba.alink.operator.batch.BatchOperator;
import com.alibaba.alink.operator.batch.feature.BinarizerBatchOp;
import com.alibaba.alink.operator.batch.source.MemSourceBatchOp;
import com.alibaba.alink.operator.stream.StreamOperator;
import com.alibaba.alink.operator.stream.feature.BinarizerStreamOp;
import com.alibaba.alink.operator.stream.source.MemSourceStreamOp;
import org.junit.Test;
import java.util.Arrays;
import java.util.List;
public class BinarizerBatchOpTest {
  @Test
  public void testBinarizerBatchOp() throws Exception {
    List <Row> df = Arrays.asList(
      Row.of(1.1, true, 2, "A"),
      Row.of(1.1, false, 2, "B"),
      Row.of(1.1, true, 1, "B"),
      Row.of(2.2, true, 1, "A")
    );
    BatchOperator <?> inOp1 = new MemSourceBatchOp(df, "double double, bool boolean, number int, str string");
    StreamOperator <?> inOp2 = new MemSourceStreamOp(df, "double double, bool boolean, number int, str string");
    BatchOperator <?> binarizer = new BinarizerBatchOp().setSelectedCol("double").setThreshold(2.0);
    binarizer.linkFrom(inOp1).print();
    StreamOperator <?> binarizer2 = new BinarizerStreamOp().setSelectedCol("double").setThreshold(2.0);
    binarizer2.linkFrom(inOp2).print();
    StreamOperator.execute();
  }
}

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