de.lmu.ifi.dbs.elki.datasource.parser

Class TermFrequencyParser<V extends SparseNumberVector>

java.lang.Object

de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser

de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser<V>

de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser<V>

All Implemented Interfaces:

BundleStreamSource, Parser, StreamingParser

@Title(value="Term frequency parser")
@Description(value="Parse a file containing term frequencies. The expected format is \'label term1  term2  ...\'. Terms must not contain the separator character!")
public class TermFrequencyParser<V extends SparseNumberVector>
extends NumberVectorLabelParser<V>

A parser to load term frequency data, which essentially are sparse vectors with text keys. If your data does not contain frequencies, you can maybe use SimpleTransactionParser instead.

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	TermFrequencyParser.Parameterizer<V extends SparseNumberVector> Parameterization class.

Nested classes/interfaces inherited from interface de.lmu.ifi.dbs.elki.datasource.bundle.BundleStreamSource

BundleStreamSource.Event

Field Summary

Fields

Modifier and Type	Field and Description
(package private) TObjectIntMap<String>	keymap Map.
(package private) ArrayList<String>	labels (Reused) label buffer.
private static Logging	LOG Class logger.
(package private) boolean	normalize Normalize.
(package private) int	numterms Number of different terms observed.
private SparseNumberVector.Factory<V>	sparsefactory Same as NumberVectorLabelParser.factory, but subtype.
(package private) TIntDoubleHashMap	values (Reused) set of values for the number vector.

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

attributes, columnnames, curlbl, curvec, factory, haslabels, maxdim, meta, mindim, nextevent, unique

Fields inherited from class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser

reader, tokenizer

Constructor Summary

Constructors

Constructor and Description
TermFrequencyParser(boolean normalize, CSVReaderFormat format, long[] labelIndices, SparseNumberVector.Factory<V> factory) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
protected Logging	getLogger() Get the logger for this class.
protected SimpleTypeInformation<V>	getTypeInformation(int mindim, int maxdim) Get a prototype object for the given dimensionality.
protected boolean	parseLineInternal() Internal method for parsing a single line.

Methods inherited from class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser

buildMeta, cleanup, createVector, data, getMeta, initStream, isLabelColumn, nextEvent

Methods inherited from class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser

asMultipleObjectsBundle, assignDBID, hasDBIDs, parse

Methods inherited from class java.lang.Object

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

Field Detail

LOG

private static final Logging LOG

Class logger.

numterms

int numterms

Number of different terms observed.

keymap

TObjectIntMap<String> keymap

Map.

normalize

boolean normalize

Normalize.

sparsefactory

private SparseNumberVector.Factory<V extends SparseNumberVector> sparsefactory

Same as NumberVectorLabelParser.factory, but subtype.

values

TIntDoubleHashMap values

(Reused) set of values for the number vector.

labels

ArrayList<String> labels

(Reused) label buffer.

Constructor Detail

TermFrequencyParser

public TermFrequencyParser(boolean normalize,
                   CSVReaderFormat format,
                   long[] labelIndices,
                   SparseNumberVector.Factory<V> factory)

Constructor.

Parameters:

normalize - Normalize

format - Input format

labelIndices - Indices to use as labels

Method Detail

parseLineInternal

protected boolean parseLineInternal()

Description copied from class: NumberVectorLabelParser

Internal method for parsing a single line. Used by both line based parsing as well as block parsing. This saves the building of meta data for each line.

Overrides:

parseLineInternal in class NumberVectorLabelParser<V extends SparseNumberVector>

Returns:

true when a valid line was read, false on a label row.

getTypeInformation

protected SimpleTypeInformation<V> getTypeInformation(int mindim,
                                          int maxdim)

Description copied from class: NumberVectorLabelParser

Get a prototype object for the given dimensionality.

Overrides:

getTypeInformation in class NumberVectorLabelParser<V extends SparseNumberVector>

Parameters:

mindim - Minimum dimensionality

maxdim - Maximum dimensionality

Returns:

Prototype object

getLogger

protected Logging getLogger()

Description copied from class: AbstractStreamingParser

Get the logger for this class.

Overrides:

getLogger in class NumberVectorLabelParser<V extends SparseNumberVector>

Returns:

Logger.