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## Uses of Class
de.jstacs.data.EmptyDataSetException

Packages that use EmptyDataSetException
de.jstacs.data | Provides classes for the representation of data.
de.jstacs.data.sequences | Provides classes for representing sequences.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous |

Uses of EmptyDataSetException in de.jstacs.data

Methods in de.jstacs.data that throw EmptyDataSetException
`static DataSet` | `DataSet.diff(DataSet data, DataSet... samples)` This method computes the difference between the `DataSet` `data` and the `DataSet`s `samples`.
`static DataSet` | `DataSet.intersection(DataSet... samples)` This method computes the intersection between all elements/`DataSet` s of the array, i.e. it returns a `DataSet` containing only `Sequence`s that are contained in all `DataSet`s of the array.
`DataSet[]` | `DataSet.partition(DataSet.PartitionMethod method, double... percentage)` This method partitions the elements, i.e. the `Sequence`s, of the `DataSet` in distinct parts where each part holds the corresponding percentage given in the array `percentage`.
`Pair<DataSet[],double[][]>` | `DataSet.partition(double[] sequenceWeights, DataSet.PartitionMethod method, double... percentage)` This method partitions the elements, i.e. the `Sequence`s, of the `DataSet` and the corresponding weights in distinct parts where each part holds the corresponding percentage given in the array `percentage`.
`Pair<DataSet[],double[][]>` | `DataSet.partition(double[] sequenceWeights, int k, DataSet.PartitionMethod method)` This method partitions the elements, i.e. the `Sequence`s, of the `DataSet` and the corresponding weights in `k` distinct parts.
`DataSet[]` | `DataSet.partition(double p, DataSet.PartitionMethod method, int subsequenceLength)` This method partitions the elements, i.e. the `Sequence`s, of the `DataSet` in two distinct parts.
`DataSet[]` | `DataSet.partition(int k, DataSet.PartitionMethod method)` This method partitions the elements, i.e. the `Sequence`s, of the `DataSet` in `k` distinct parts.
`DataSet` | `DataSet.subSampling(int number)` Randomly samples elements, i.e.
`static DataSet` | `DataSet.union(DataSet[] s, boolean[] in)` This method unites all `DataSet`s of the array `s` regarding the array `in`.
`static DataSet` | `DataSet.union(DataSet[] s, boolean[] in, int subsequenceLength)` This method unites all `DataSet`s of the array `s` regarding the array `in` and sets the element length in the united `DataSet` to `subsequenceLength`.

Constructors in de.jstacs.data that throw EmptyDataSetException
`DataSet(AlphabetContainer abc, AbstractStringExtractor se)` Creates a new `DataSet` from a `StringExtractor` using the given `AlphabetContainer`.
`DataSet(AlphabetContainer abc, AbstractStringExtractor se, int subsequenceLength)` Creates a new `DataSet` from a `StringExtractor` using the given `AlphabetContainer` and all overlapping windows of length `subsequenceLength`.
`DataSet(AlphabetContainer abc, AbstractStringExtractor se, String delim)` Creates a new `DataSet` from a `StringExtractor` using the given `AlphabetContainer` and a delimiter `delim`.
`DataSet(AlphabetContainer abc, AbstractStringExtractor se, String delim, int subsequenceLength)` Creates a new `DataSet` from a `StringExtractor` using the given `AlphabetContainer`, the given delimiter `delim` and all overlapping windows of length `subsequenceLength`.
`DataSet(String annotation, Sequence... seqs)` Creates a new `DataSet` from an array of `Sequence`s and a given annotation.
`DNADataSet(String fName)` Creates a new sample of DNA sequence from a FASTA file with file name `fName`.
`DNADataSet(String fName, char ignore)` Creates a new sample of DNA sequence from a file with file name `fName`.
`DNADataSet(String fName, char ignore, SequenceAnnotationParser parser)` Creates a new sample of DNA sequence from a file with file name `fName` using the given `parser`.

Uses of EmptyDataSetException in de.jstacs.data.sequences

Methods in de.jstacs.data.sequences that throw EmptyDataSetException
`static DataSet` | `SparseSequence.getDataSet(AlphabetContainer con, AbstractStringExtractor... se)` This method allows to create a `DataSet` containing `SparseSequence`s.
`static DataSet` | `ArbitraryFloatSequence.getDataSet(AlphabetContainer con, AbstractStringExtractor... se)` This method allows to create a `DataSet` containing `ArbitraryFloatSequence`s.
`static DataSet` | `SparseSequence.getDataSet(AlphabetContainer con, String filename)` This method allows to create a `DataSet` containing `SparseSequence`s using a file name.
`static DataSet` | `ArbitraryFloatSequence.getDataSet(AlphabetContainer con, String filename)` This method allows to create a `DataSet` containing `ArbitraryFloatSequence`s using a file name.
`static DataSet` | `SparseSequence.getDataSet(AlphabetContainer con, String filename, SequenceAnnotationParser parser)` This method allows to create a `DataSet` containing `SparseSequence`s using a file name.
`static DataSet` | `ArbitraryFloatSequence.getDataSet(AlphabetContainer con, String filename, SequenceAnnotationParser parser)` This method allows to create a `DataSet` containing `ArbitraryFloatSequence`s using a file name.

Uses of EmptyDataSetException in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous that throw EmptyDataSetException
`DataSet` | `HomogeneousTrainSM.emitDataSet(int no, int... length)` Creates a `DataSet` of a given number of `Sequence`s from a trained homogeneous model.

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