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 DataSets 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 Sequences that are contained in all DataSets of the array.
DataSet[]	DataSet.partition(DataSet.PartitionMethod method, double... percentage) This method partitions the elements, i.e. the Sequences, 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 Sequences, 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 Sequences, 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 Sequences, of the DataSet in two distinct parts.
DataSet[]	DataSet.partition(int k, DataSet.PartitionMethod method) This method partitions the elements, i.e. the Sequences, 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 DataSets of the array s regarding the array in.
static DataSet	DataSet.union(DataSet[] s, boolean[] in, int subsequenceLength) This method unites all DataSets 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 Sequences 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 SparseSequences.
static DataSet	ArbitraryFloatSequence.getDataSet(AlphabetContainer con, AbstractStringExtractor... se) This method allows to create a DataSet containing ArbitraryFloatSequences.
static DataSet	SparseSequence.getDataSet(AlphabetContainer con, String filename) This method allows to create a DataSet containing SparseSequences using a file name.
static DataSet	ArbitraryFloatSequence.getDataSet(AlphabetContainer con, String filename) This method allows to create a DataSet containing ArbitraryFloatSequences using a file name.
static DataSet	SparseSequence.getDataSet(AlphabetContainer con, String filename, SequenceAnnotationParser parser) This method allows to create a DataSet containing SparseSequences using a file name.
static DataSet	ArbitraryFloatSequence.getDataSet(AlphabetContainer con, String filename, SequenceAnnotationParser parser) This method allows to create a DataSet containing ArbitraryFloatSequences 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 Sequences from a trained homogeneous model.