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Diffstat (limited to 'mllib/src/main/scala/org/apache/spark/ml/r/RWrappers.scala')
-rw-r--r-- | mllib/src/main/scala/org/apache/spark/ml/r/RWrappers.scala | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/r/RWrappers.scala b/mllib/src/main/scala/org/apache/spark/ml/r/RWrappers.scala new file mode 100644 index 0000000000..7f6f147532 --- /dev/null +++ b/mllib/src/main/scala/org/apache/spark/ml/r/RWrappers.scala @@ -0,0 +1,45 @@ +/* + * 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.r + +import org.apache.hadoop.fs.Path +import org.json4s.DefaultFormats +import org.json4s.jackson.JsonMethods._ + +import org.apache.spark.SparkException +import org.apache.spark.ml.util.MLReader + +/** + * This is the Scala stub of SparkR ml.load. It will dispatch the call to corresponding + * model wrapper loading function according the class name extracted from rMetadata of the path. + */ +private[r] object RWrappers extends MLReader[Object] { + + override def load(path: String): Object = { + implicit val format = DefaultFormats + val rMetadataPath = new Path(path, "rMetadata").toString + val rMetadataStr = sc.textFile(rMetadataPath, 1).first() + val rMetadata = parse(rMetadataStr) + val className = (rMetadata \ "class").extract[String] + className match { + case "org.apache.spark.ml.r.NaiveBayesWrapper" => NaiveBayesWrapper.load(path) + case _ => + throw new SparkException(s"SparkR ml.load does not support load $className") + } + } +} |