com.intel.analytics.zoo.pipeline.nnframes.DefaultParamsWriterWrapper.scala Maven / Gradle / Ivy
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/*
* Copyright 2018 Analytics Zoo Authors.
*
* Licensed 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
import org.apache.spark.SparkContext
import org.apache.spark.ml.param.Params
import org.apache.spark.ml.util.DefaultParamsReader.Metadata
import org.apache.spark.ml.util.{DefaultParamsReader, DefaultParamsWriter}
import org.json4s.jackson.JsonMethods.{compact, render}
import org.json4s.{DefaultFormats, JObject, JValue}
object DefaultParamsWriterWrapper {
def saveMetadata(
instance: Params,
path: String,
sc: SparkContext,
extraMetadata: Option[JObject] = None,
paramMap: Option[JValue] = None): Unit = {
DefaultParamsWriter.saveMetadata(instance, path, sc, extraMetadata, paramMap)
}
def loadMetadata(path: String, sc: SparkContext, expectedClassName: String = ""): Metadata = {
DefaultParamsReader.loadMetadata(path, sc, expectedClassName)
}
def getAndSetParams(instance: Params, metadata: Metadata): Unit = {
implicit val format = DefaultFormats
metadata.params match {
case JObject(pairs) =>
pairs.foreach { case (paramName, jsonValue) =>
val param = instance.getParam(paramName)
val value = param.jsonDecode(compact(render(jsonValue)))
instance.set(param, value)
}
case _ =>
throw new IllegalArgumentException(
s"Cannot recognize JSON metadata: ${metadata.metadataJson}.")
}
}
}
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