org.deeplearning4j.spark.api.RDDTrainingApproach Maven / Gradle / Ivy
/*
* * Copyright 2016 Skymind,Inc.
* *
* * 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.deeplearning4j.spark.api;
/**
* Approach to use when training from a {@code JavaRDD} or {@code JavaRDD}.
*
* Export: first export the RDD to disk (temporary directory) and train from that.
* Direct: aka 'legacy mode': train directly from the RDD. This has higher memory requirements and lower performance
* compared to the Export approach. It does not export the data to disk first, hence uses less space.
*
* @author Alex Black
*/
public enum RDDTrainingApproach {
Export,
Direct
}