Package | Description |
---|---|
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 |
---|---|
class |
BitVectorLabelParser
Parser for parsing one BitVector per line, bits separated by whitespace.
|
class |
CategorialDataAsNumberVectorParser<V extends NumberVector>
A very simple parser for categorial data, which will then be encoded as
numbers.
|
class |
ClusteringVectorParser
Parser for simple clustering results in vector form, as written by
ClusteringVectorDumper . |
class |
LibSVMFormatParser<V extends SparseNumberVector>
Parser to read libSVM format files.
|
class |
NumberVectorLabelParser<V extends NumberVector>
Parser for a simple CSV type of format, with columns separated by the given
pattern (default: whitespace).
|
class |
SimplePolygonParser
Parser to load polygon data (2D and 3D only) from a simple format.
|
class |
SimpleTransactionParser
Simple parser for transactional data, such as market baskets.
|
class |
SparseNumberVectorLabelParser<V extends SparseNumberVector>
Parser for parsing one point per line, attributes separated by whitespace.
|
class |
TermFrequencyParser<V extends SparseNumberVector>
A parser to load term frequency data, which essentially are sparse vectors
with text keys.
|
Modifier and Type | Method and Description |
---|---|
protected abstract AbstractStreamingParser |
AbstractStreamingParser.Parameterizer.makeInstance() |
Copyright © 2019 ELKI Development Team. License information.