- All Known Subinterfaces:
- All Known Implementing Classes:
- BasicMLDataSet, BasicNeuralDataSet, BufferedNeuralDataSet, CSVNeuralDataSet, FoldedDataSet, ImageNeuralDataSet, SQLNeuralDataSet
public interface MLDataSetextends Iterable<MLDataPair>An interface designed to abstract classes that store machine learning data. This interface is designed to provide EngineDataSet objects. These can be used to train machine learning methods using both supervised and unsupervised training. Some implementations of this interface are memory based. That is they store the entire contents of the dataset in memory. Other implementations of this interface are not memory based. These implementations read in data as it is needed. This allows very large datasets to be used. Typically the add methods are not supported on non-memory based datasets.