二值化 (BinarizerStreamOp)

Java 类名：com.alibaba.alink.operator.stream.feature.BinarizerStreamOp
Python 类名：BinarizerStreamOp

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？ | 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 BinarizerStreamOpTest {
    @Test
    public void testBinarizerStreamOp() 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

批预测结果

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

| 0.0000 | true | 2 | A |

| 0.0000 | false | 2 | B |

| 0.0000 | true | 1 | B |

| 1.0000 | true | 1 | A |

流预测结果

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

| 0.0000 | true | 2 | A |

| 0.0000 | true | 1 | B |

| 0.0000 | false | 2 | B |

| 1.0000 | true | 1 | A |