Package | Description |
---|---|
de.lmu.ifi.dbs.elki.data |
Basic classes for different data types, database object types and label types
|
de.lmu.ifi.dbs.elki.datasource.parser |
Parsers for different file formats and data types
The general use-case for any parser is to create objects out of an
InputStream (e.g. by reading a data file). |
Modifier and Type | Class and Description |
---|---|
static class |
BitVector.Factory
Factory for bit vectors.
|
static class |
SparseByteVector.Factory
Factory class.
|
static class |
SparseDoubleVector.Factory
Factory class.
|
static class |
SparseFloatVector.Factory
Factory class.
|
static class |
SparseIntegerVector.Factory
Factory class.
|
static class |
SparseShortVector.Factory
Factory class.
|
Modifier and Type | Field and Description |
---|---|
protected SparseNumberVector.Factory<V> |
SparseNumberVectorLabelParser.sparsefactory
Same as
NumberVectorLabelParser.factory , but subtype. |
private SparseNumberVector.Factory<V> |
TermFrequencyParser.sparsefactory
Same as
NumberVectorLabelParser.factory , but subtype. |
Constructor and Description |
---|
LibSVMFormatParser(SparseNumberVector.Factory<V> factory)
Constructor.
|
SparseNumberVectorLabelParser(CSVReaderFormat format,
long[] labelIndices,
SparseNumberVector.Factory<V> factory)
Constructor.
|
SparseNumberVectorLabelParser(java.util.regex.Pattern colSep,
java.lang.String quoteChars,
java.util.regex.Pattern comment,
long[] labelIndices,
SparseNumberVector.Factory<V> factory)
Constructor.
|
TermFrequencyParser(boolean normalize,
CSVReaderFormat format,
long[] labelIndices,
SparseNumberVector.Factory<V> factory)
Constructor.
|
TermFrequencyParser(boolean normalize,
SparseNumberVector.Factory<V> factory)
Constructor.
|
Copyright © 2019 ELKI Development Team. License information.