public ComputationGraph fitMultiDataSet(JavaRDD<MultiDataSet> rdd) {
        if (Nd4j.getExecutioner() instanceof GridExecutioner)
            ((GridExecutioner) Nd4j.getExecutioner()).flushQueue();

        trainingMaster.executeTrainingMDS(this, rdd);
        network.incrementEpochCount();
        return network;
    }
public ComputationGraph fitMultiDataSet ( JavaRDD < MultiDataSet > rdd ) { if ( Nd4j . getExecutioner ( ) instanceof GridExecutioner ) ( ( GridExecutioner ) Nd4j . getExecutioner ( ) ) . flushQueue ( ) ; trainingMaster . executeTrainingMDS ( this , rdd ) ; network . incrementEpochCount ( ) ; return network ; }
Fit the ComputationGraph with the given data set

@param rdd Data to train on
@return Trained network