de.lmu.ifi.dbs.elki.parser
Class SparseFloatVectorLabelParser

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.parser.AbstractParser<V>
          de.lmu.ifi.dbs.elki.parser.NumberVectorLabelParser<SparseFloatVector>
              de.lmu.ifi.dbs.elki.parser.SparseFloatVectorLabelParser

All Implemented Interfaces:

LinebasedParser<SparseFloatVector>, Parser<SparseFloatVector>, Parameterizable

@Title(value="Sparse Float Vector Label Parser")
@Description(value="Parser for the following line format:\nA single line provides a single point. Entries are separated by whitespace. The values will be parsed as floats (resulting in a set of SparseFloatVectors). A line is expected in the following format: The first entry of each line is the number of attributes with coordinate value not zero. Subsequent entries are of the form (index, value), where index is the number of the corresponding dimension, and value is the value of the corresponding attribute.Any pair of two subsequent substrings not containing whitespace is tried to be read as int and float. If this fails for the first of the pair (interpreted ans index), it will be appended to a label. (Thus, any label must not be parseable as Integer.) If the float component is not parseable, an exception will be thrown. Empty lines and lines beginning with \"#\" will be ignored. Having the file parsed completely, the maximum occuring dimensionality is set as dimensionality to all created SparseFloatvectors.")
public class SparseFloatVectorLabelParser
extends NumberVectorLabelParser<SparseFloatVector>

Provides a parser for parsing one point per line, attributes separated by whitespace.

Several labels may be given per point. A label must not be parseable as double. Lines starting with "#" will be ignored.

A line is expected in the following format: The first entry of each line is the number of attributes with coordinate value not zero. Subsequent entries are of the form (index, value), where index is the number of the corresponding dimension, and value is the value of the corresponding attribute.

An index can be specified to identify an entry to be treated as class label. This index counts all entries (numeric and labels as well) starting with 0.

Author:

Arthur Zimek

Field Summary

private int

dimensionality Holds the dimensionality of the parsed data which is the maximum occurring index of any attribute.

Fields inherited from class de.lmu.ifi.dbs.elki.parser.NumberVectorLabelParser

labelIndices

Fields inherited from class de.lmu.ifi.dbs.elki.parser.AbstractParser

ATTRIBUTE_CONCATENATION, COMMENT, WHITESPACE_PATTERN

Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debug, logger

Constructor Summary

SparseFloatVectorLabelParser(Parameterization config)
Constructor, adhering to Parameterizable

Method Summary

SparseFloatVector	createDBObject(List<Double> attributes) Creates a DoubleVector out of the given attribute values.
ParsingResult<SparseFloatVector>	parse(InputStream in) Returns a list of the objects parsed from the specified input stream and a list of the labels associated with the objects.
Pair<SparseFloatVector,List<String>>	parseLine(String line) Parse a single line into a database object

Methods inherited from class de.lmu.ifi.dbs.elki.parser.AbstractParser

toString

Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debugFine, debugFiner, debugFinest, exception, progress, verbose, warning

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

dimensionality

private int dimensionality

Holds the dimensionality of the parsed data which is the maximum occurring index of any attribute.

Constructor Detail

SparseFloatVectorLabelParser

public SparseFloatVectorLabelParser(Parameterization config)

Constructor, adhering to Parameterizable

Parameters:

config - Parameterization

Method Detail

createDBObject

public SparseFloatVector createDBObject(List<Double> attributes)

Creates a DoubleVector out of the given attribute values.

Specified by:

createDBObject in class NumberVectorLabelParser<SparseFloatVector>

Parameters:

attributes - the attributes of the vector to create.

Returns:

a RalVector of type V containing the given attribute values

See Also:

NumberVectorLabelParser.createDBObject(java.util.List)

parseLine

public Pair<SparseFloatVector,List<String>> parseLine(String line)

Description copied from interface: LinebasedParser

Parse a single line into a database object

Specified by:

parseLine in interface LinebasedParser<SparseFloatVector>

Overrides:

parseLine in class NumberVectorLabelParser<SparseFloatVector>

Parameters:

line - single line

Returns:

parsing result

See Also:

NumberVectorLabelParser.parseLine(java.lang.String)

parse

public ParsingResult<SparseFloatVector> parse(InputStream in)

Description copied from interface: Parser

Returns a list of the objects parsed from the specified input stream and a list of the labels associated with the objects.

Specified by:

parse in interface Parser<SparseFloatVector>

Overrides:

parse in class NumberVectorLabelParser<SparseFloatVector>

Parameters:

in - the stream to parse objects from

Returns:

a list containing those objects parsed from the input stream and their associated labels.

See Also:

NumberVectorLabelParser.parse(java.io.InputStream)