本文整理了Java中org.apache.spark.mllib.linalg.Vector.asML()方法的一些代码示例，展示了Vector.asML()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Vector.asML()方法的具体详情如下：
包路径：org.apache.spark.mllib.linalg.Vector
类名称：Vector
方法名：asML

Vector.asML介绍

暂无

代码示例

代码示例来源：origin: org.apache.spark/spark-mllib_2.11

@Test
public void testConvertVectorColumnsToAndFromML() {
 Vector x = Vectors.dense(2.0);
 Dataset<Row> dataset = spark.createDataFrame(
  Collections.singletonList(new LabeledPoint(1.0, x)), LabeledPoint.class
 ).select("label", "features");
 Dataset<Row> newDataset1 = MLUtils.convertVectorColumnsToML(dataset);
 Row new1 = newDataset1.first();
 Assert.assertEquals(RowFactory.create(1.0, x.asML()), new1);
 Row new2 = MLUtils.convertVectorColumnsToML(dataset, "features").first();
 Assert.assertEquals(new1, new2);
 Row old1 = MLUtils.convertVectorColumnsFromML(newDataset1).first();
 Assert.assertEquals(RowFactory.create(1.0, x), old1);
}

代码示例来源：origin: org.apache.spark/spark-mllib_2.10

@Test
public void testConvertVectorColumnsToAndFromML() {
 Vector x = Vectors.dense(2.0);
 Dataset<Row> dataset = spark.createDataFrame(
  Collections.singletonList(new LabeledPoint(1.0, x)), LabeledPoint.class
 ).select("label", "features");
 Dataset<Row> newDataset1 = MLUtils.convertVectorColumnsToML(dataset);
 Row new1 = newDataset1.first();
 Assert.assertEquals(RowFactory.create(1.0, x.asML()), new1);
 Row new2 = MLUtils.convertVectorColumnsToML(dataset, "features").first();
 Assert.assertEquals(new1, new2);
 Row old1 = MLUtils.convertVectorColumnsFromML(newDataset1).first();
 Assert.assertEquals(RowFactory.create(1.0, x), old1);
}

代码示例来源：origin: org.apache.spark/spark-mllib

@Test
public void testConvertVectorColumnsToAndFromML() {
 Vector x = Vectors.dense(2.0);
 Dataset<Row> dataset = spark.createDataFrame(
  Collections.singletonList(new LabeledPoint(1.0, x)), LabeledPoint.class
 ).select("label", "features");
 Dataset<Row> newDataset1 = MLUtils.convertVectorColumnsToML(dataset);
 Row new1 = newDataset1.first();
 Assert.assertEquals(RowFactory.create(1.0, x.asML()), new1);
 Row new2 = MLUtils.convertVectorColumnsToML(dataset, "features").first();
 Assert.assertEquals(new1, new2);
 Row old1 = MLUtils.convertVectorColumnsFromML(newDataset1).first();
 Assert.assertEquals(RowFactory.create(1.0, x), old1);
}