ALINK(二十六):特征工程(四)特征离散化(四)二值化 (BinarizerBatchOp)

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

 

 

 

 

 

 

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