Java Code Examples for org.apache.spark.api.java.JavaRDD#mapPartitionsToDouble()

The following examples show how to use org.apache.spark.api.java.JavaRDD#mapPartitionsToDouble() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: SparkDl4jMultiLayer.java    From deeplearning4j with Apache License 2.0 2 votes vote down vote up 
/**
 * Score the examples individually, using a specified batch size. Unlike {@link #calculateScore(JavaRDD, boolean)},
 * this method returns a score for each example separately. If scoring is needed for specific examples use either
 * {@link #scoreExamples(JavaPairRDD, boolean)} or {@link #scoreExamples(JavaPairRDD, boolean, int)} which can have
 * a key for each example.
 *
 * @param data                       Data to score
 * @param includeRegularizationTerms If  true: include the l1/l2 regularization terms with the score (if any)
 * @param batchSize                  Batch size to use when doing scoring
 * @return A JavaDoubleRDD containing the scores of each example
 * @see MultiLayerNetwork#scoreExamples(DataSet, boolean)
 */
public JavaDoubleRDD scoreExamples(JavaRDD<DataSet> data, boolean includeRegularizationTerms, int batchSize) {
    return data.mapPartitionsToDouble(new ScoreExamplesFunction(sc.broadcast(network.params()),
                    sc.broadcast(conf.toJson()), includeRegularizationTerms, batchSize));
}
Example 2
Source File: SparkComputationGraph.java    From deeplearning4j with Apache License 2.0 2 votes vote down vote up 
/**
 * Score the examples individually, using a specified batch size. Unlike {@link #calculateScore(JavaRDD, boolean)},
 * this method returns a score for each example separately. If scoring is needed for specific examples use either
 * {@link #scoreExamples(JavaPairRDD, boolean)} or {@link #scoreExamples(JavaPairRDD, boolean, int)} which can have
 * a key for each example.
 *
 * @param data                       Data to score
 * @param includeRegularizationTerms If true: include the l1/l2 regularization terms with the score (if any)
 * @param batchSize                  Batch size to use when doing scoring
 * @return A JavaDoubleRDD containing the scores of each example
 * @see ComputationGraph#scoreExamples(MultiDataSet, boolean)
 */
public JavaDoubleRDD scoreExamplesMultiDataSet(JavaRDD<MultiDataSet> data, boolean includeRegularizationTerms,
                int batchSize) {
    return data.mapPartitionsToDouble(new ScoreExamplesFunction(sc.broadcast(network.params()),
                    sc.broadcast(conf.toJson()), includeRegularizationTerms, batchSize));
}