Uses of Class
de.jstacs.data.EmptyDataSetException

Packages that use EmptyDataSetException

Package	Description
de.jstacs.data	Provides classes for the representation of data. The base classes to represent data are Alphabet and AlphabetContainer for representing alphabets, Sequence and its sub-classes to represent continuous and discrete sequences, and DataSet to represent data sets comprising a set of sequences.
de.jstacs.data.sequences	Provides classes for representing sequences. The implementations of sequences currently include DiscreteSequences prepared for alphabets of different sizes, and ArbitrarySequences that may contain continuous values as well. As sub-package provides the facilities to annotate Sequences.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous

Uses of EmptyDataSetException in de.jstacs.data

Methods in de.jstacs.data that throw EmptyDataSetException

Modifier and Type	Method and Description
static DataSet	DataSet.diff(DataSet data, DataSet... samples) This method computes the difference between the DataSet data and the DataSets samples.
DataSet	DataSet.getPartialDataSet(int[]... indexes) Returns a new DataSet that contains all elements of this DataSet that are specified by the supplied pairs of start and end indexes in indexes.
DataSet	DataSet.getPartialDataSet(int start, int end) Returns a new DataSet that contains all elements of this DataSet that are specified by the supplied start (inclusive) and end (exclusive) indexes.
static DataSet	DataSet.intersection(DataSet... samples) This method computes the intersection between all elements/DataSet s of the array, i.e.
DataSet[]	DataSet.partition(DataSet.PartitionMethod method, double... percentage) This method partitions the elements, i.e.
DataSet[]	DataSet.partition(DataSet.PartitionMethod method, int k) This method partitions the elements, i.e.
Pair<DataSet[],double[][]>	DataSet.partition(double[] sequenceWeights, DataSet.PartitionMethod method, double... percentage) This method partitions the elements, i.e.
Pair<DataSet[],double[][]>	DataSet.partition(double[] sequenceWeights, DataSet.PartitionMethod method, int k) This method partitions the elements, i.e.
Pair<DataSet,double[]>	DataSet.subSampling(double number, double[] weights) Sub-samples sequences and corresponding weights from this DataSet.
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 Pair<DataSet,double[]>	DataSet.union(DataSet[] s, double[][] weights, boolean[] in) 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

Constructor and Description
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(AlphabetContainer abc, AbstractStringExtractor se, String delim, int subsequenceLength, double percentage) 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, Collection<Sequence> seqs) Creates a new DataSet from a Collection of Sequences and a given annotation.
DataSet(String annotation, Sequence... seqs) Creates a new DataSet from an array of Sequences and a given annotation. This constructor is specially designed for the method StatisticalModel.emitDataSet(int, int...)
DNADataSet(String fName) Creates a new data set of DNA sequence from a FASTA file with file name fName.
DNADataSet(String fName, char ignore) Creates a new data set of DNA sequence from a file with file name fName.
DNADataSet(String fName, char ignore, SequenceAnnotationParser parser) Creates a new data set 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

Modifier and Type	Method and Description
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

Modifier and Type	Method and Description
DataSet	HomogeneousTrainSM.emitDataSet(int no, int... length) Creates a DataSet of a given number of Sequences from a trained homogeneous model.