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（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

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')
inOp2 = StreamOperator.fromDataframe(df, schemaStr='double double, bool boolean, number int, str string')

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