spark VectorTransformer 源码
spark VectorTransformer 代码
文件路径：/mllib/src/main/scala/org/apache/spark/mllib/feature/VectorTransformer.scala
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.mllib.feature
import org.apache.spark.annotation.Since
import org.apache.spark.api.java.JavaRDD
import org.apache.spark.mllib.linalg.Vector
import org.apache.spark.rdd.RDD
/**
* Trait for transformation of a vector
*/
@Since("1.1.0")
trait VectorTransformer extends Serializable {
/**
* Applies transformation on a vector.
*
* @param vector vector to be transformed.
* @return transformed vector.
*/
@Since("1.1.0")
def transform(vector: Vector): Vector
/**
* Applies transformation on an RDD[Vector].
*
* @param data RDD[Vector] to be transformed.
* @return transformed RDD[Vector].
*/
@Since("1.1.0")
def transform(data: RDD[Vector]): RDD[Vector] = {
// Later in #1498 , all RDD objects are sent via broadcasting instead of RPC.
// So it should be no longer necessary to explicitly broadcast `this` object.
data.map(x => this.transform(x))
}
/**
* Applies transformation on a JavaRDD[Vector].
*
* @param data JavaRDD[Vector] to be transformed.
* @return transformed JavaRDD[Vector].
*/
@Since("1.1.0")
def transform(data: JavaRDD[Vector]): JavaRDD[Vector] = {
transform(data.rdd)
}
}
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