diff options
5 files changed, 103 insertions, 62 deletions
diff --git a/mllib-local/pom.xml b/mllib-local/pom.xml index 60b615a07f..68f15dd905 100644 --- a/mllib-local/pom.xml +++ b/mllib-local/pom.xml @@ -49,10 +49,6 @@ <scope>test</scope> </dependency> <dependency> - <groupId>org.json4s</groupId> - <artifactId>json4s-jackson_${scala.binary.version}</artifactId> - </dependency> - <dependency> <groupId>org.mockito</groupId> <artifactId>mockito-core</artifactId> <scope>test</scope> diff --git a/mllib-local/src/main/scala/org/apache/spark/ml/linalg/Vectors.scala b/mllib-local/src/main/scala/org/apache/spark/ml/linalg/Vectors.scala index 4275a22ae0..c0d112d2c5 100644 --- a/mllib-local/src/main/scala/org/apache/spark/ml/linalg/Vectors.scala +++ b/mllib-local/src/main/scala/org/apache/spark/ml/linalg/Vectors.scala @@ -24,9 +24,6 @@ import scala.annotation.varargs import scala.collection.JavaConverters._ import breeze.linalg.{DenseVector => BDV, SparseVector => BSV, Vector => BV} -import org.json4s.DefaultFormats -import org.json4s.JsonDSL._ -import org.json4s.jackson.JsonMethods.{compact, parse => parseJson, render} /** * Represents a numeric vector, whose index type is Int and value type is Double. @@ -153,11 +150,6 @@ sealed trait Vector extends Serializable { * Returns -1 if vector has length 0. */ def argmax: Int - - /** - * Converts the vector to a JSON string. - */ - def toJson: String } /** @@ -234,26 +226,6 @@ object Vectors { } /** - * Parses the JSON representation of a vector into a [[Vector]]. - */ - def fromJson(json: String): Vector = { - implicit val formats = DefaultFormats - val jValue = parseJson(json) - (jValue \ "type").extract[Int] match { - case 0 => // sparse - val size = (jValue \ "size").extract[Int] - val indices = (jValue \ "indices").extract[Seq[Int]].toArray - val values = (jValue \ "values").extract[Seq[Double]].toArray - sparse(size, indices, values) - case 1 => // dense - val values = (jValue \ "values").extract[Seq[Double]].toArray - dense(values) - case _ => - throw new IllegalArgumentException(s"Cannot parse $json into a vector.") - } - } - - /** * Creates a vector instance from a breeze vector. */ private[spark] def fromBreeze(breezeVector: BV[Double]): Vector = { @@ -541,11 +513,6 @@ class DenseVector (val values: Array[Double]) extends Vector { maxIdx } } - - override def toJson: String = { - val jValue = ("type" -> 1) ~ ("values" -> values.toSeq) - compact(render(jValue)) - } } object DenseVector { @@ -724,14 +691,6 @@ class SparseVector ( }.unzip new SparseVector(selectedIndices.length, sliceInds.toArray, sliceVals.toArray) } - - override def toJson: String = { - val jValue = ("type" -> 0) ~ - ("size" -> size) ~ - ("indices" -> indices.toSeq) ~ - ("values" -> values.toSeq) - compact(render(jValue)) - } } object SparseVector { diff --git a/mllib-local/src/test/scala/org/apache/spark/ml/linalg/VectorsSuite.scala b/mllib-local/src/test/scala/org/apache/spark/ml/linalg/VectorsSuite.scala index 504be36413..887814b5e7 100644 --- a/mllib-local/src/test/scala/org/apache/spark/ml/linalg/VectorsSuite.scala +++ b/mllib-local/src/test/scala/org/apache/spark/ml/linalg/VectorsSuite.scala @@ -20,7 +20,6 @@ package org.apache.spark.ml.linalg import scala.util.Random import breeze.linalg.{squaredDistance => breezeSquaredDistance, DenseMatrix => BDM} -import org.json4s.jackson.JsonMethods.{parse => parseJson} import org.apache.spark.ml.SparkMLFunSuite import org.apache.spark.ml.util.TestingUtils._ @@ -339,20 +338,4 @@ class VectorsSuite extends SparkMLFunSuite { assert(v.slice(Array(2, 0)) === new SparseVector(2, Array(0), Array(2.2))) assert(v.slice(Array(2, 0, 3, 4)) === new SparseVector(4, Array(0, 3), Array(2.2, 4.4))) } - - test("toJson/fromJson") { - val sv0 = Vectors.sparse(0, Array.empty, Array.empty) - val sv1 = Vectors.sparse(1, Array.empty, Array.empty) - val sv2 = Vectors.sparse(2, Array(1), Array(2.0)) - val dv0 = Vectors.dense(Array.empty[Double]) - val dv1 = Vectors.dense(1.0) - val dv2 = Vectors.dense(0.0, 2.0) - for (v <- Seq(sv0, sv1, sv2, dv0, dv1, dv2)) { - val json = v.toJson - parseJson(json) // `json` should be a valid JSON string - val u = Vectors.fromJson(json) - assert(u.getClass === v.getClass, "toJson/fromJson should preserve vector types.") - assert(u === v, "toJson/fromJson should preserve vector values.") - } - } } diff --git a/mllib/src/main/scala/org/apache/spark/ml/linalg/JsonVectorConverter.scala b/mllib/src/main/scala/org/apache/spark/ml/linalg/JsonVectorConverter.scala new file mode 100644 index 0000000000..781e69f8d6 --- /dev/null +++ b/mllib/src/main/scala/org/apache/spark/ml/linalg/JsonVectorConverter.scala @@ -0,0 +1,62 @@ +/* + * 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.ml.linalg + +import org.json4s.DefaultFormats +import org.json4s.JsonDSL._ +import org.json4s.jackson.JsonMethods.{compact, parse => parseJson, render} + +private[ml] object JsonVectorConverter { + + /** + * Parses the JSON representation of a vector into a [[Vector]]. + */ + def fromJson(json: String): Vector = { + implicit val formats = DefaultFormats + val jValue = parseJson(json) + (jValue \ "type").extract[Int] match { + case 0 => // sparse + val size = (jValue \ "size").extract[Int] + val indices = (jValue \ "indices").extract[Seq[Int]].toArray + val values = (jValue \ "values").extract[Seq[Double]].toArray + Vectors.sparse(size, indices, values) + case 1 => // dense + val values = (jValue \ "values").extract[Seq[Double]].toArray + Vectors.dense(values) + case _ => + throw new IllegalArgumentException(s"Cannot parse $json into a vector.") + } + } + + /** + * Coverts the vector to a JSON string. + */ + def toJson(v: Vector): String = { + v match { + case SparseVector(size, indices, values) => + val jValue = ("type" -> 0) ~ + ("size" -> size) ~ + ("indices" -> indices.toSeq) ~ + ("values" -> values.toSeq) + compact(render(jValue)) + case DenseVector(values) => + val jValue = ("type" -> 1) ~ ("values" -> values.toSeq) + compact(render(jValue)) + } + } +} diff --git a/mllib/src/test/scala/org/apache/spark/ml/linalg/JsonVectorConverterSuite.scala b/mllib/src/test/scala/org/apache/spark/ml/linalg/JsonVectorConverterSuite.scala new file mode 100644 index 0000000000..53d57f0f6e --- /dev/null +++ b/mllib/src/test/scala/org/apache/spark/ml/linalg/JsonVectorConverterSuite.scala @@ -0,0 +1,41 @@ +/* + * 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.ml.linalg + +import org.json4s.jackson.JsonMethods.parse + +import org.apache.spark.SparkFunSuite + +class JsonVectorConverterSuite extends SparkFunSuite { + + test("toJson/fromJson") { + val sv0 = Vectors.sparse(0, Array.empty, Array.empty) + val sv1 = Vectors.sparse(1, Array.empty, Array.empty) + val sv2 = Vectors.sparse(2, Array(1), Array(2.0)) + val dv0 = Vectors.dense(Array.empty[Double]) + val dv1 = Vectors.dense(1.0) + val dv2 = Vectors.dense(0.0, 2.0) + for (v <- Seq(sv0, sv1, sv2, dv0, dv1, dv2)) { + val json = JsonVectorConverter.toJson(v) + parse(json) // `json` should be a valid JSON string + val u = JsonVectorConverter.fromJson(json) + assert(u.getClass === v.getClass, "toJson/fromJson should preserve vector types.") + assert(u === v, "toJson/fromJson should preserve vector values.") + } + } +} |