1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
|
package de.lmu.ifi.dbs.elki.datasource.filter.typeconversions;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2014
Ludwig-Maximilians-Universität München
Lehr- und Forschungseinheit für Datenbanksysteme
ELKI Development Team
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
import gnu.trove.list.array.TIntArrayList;
import java.util.regex.Pattern;
import de.lmu.ifi.dbs.elki.data.LabelList;
import de.lmu.ifi.dbs.elki.data.SimpleClassLabel;
import de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation;
import de.lmu.ifi.dbs.elki.data.type.TypeUtil;
import de.lmu.ifi.dbs.elki.datasource.bundle.BundleMeta;
import de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter;
import de.lmu.ifi.dbs.elki.utilities.Alias;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.StringParameter;
/**
* Streaming filter to derive an outlier class label.
*
* @author Erich Schubert
*/
@Alias({ "de.lmu.ifi.dbs.elki.datasource.filter.normalization.ClassLabelFromPatternFilter" })
public class ClassLabelFromPatternFilter extends AbstractStreamFilter {
/**
* Current meta data
*/
BundleMeta meta = null;
/**
* Bitset of label columns
*/
TIntArrayList labelcols = new TIntArrayList();
/**
* Label to return for positive matches.
*/
SimpleClassLabel positive;
/**
* Label to return for negative matches.
*/
SimpleClassLabel negative;
/**
* Matching pattern.
*/
Pattern pattern;
/**
* Constructor.
*
* @param pattern Pattern for matching
* @param positive Positive label
* @param negative Negative label
*/
public ClassLabelFromPatternFilter(Pattern pattern, String positive, String negative) {
super();
this.pattern = pattern;
this.positive = new SimpleClassLabel(positive);
this.negative = new SimpleClassLabel(negative);
}
/**
* Constructor.
*
* @param pattern Pattern for matching
* @param positive Positive label
* @param negative Negative label
*/
public ClassLabelFromPatternFilter(Pattern pattern, SimpleClassLabel positive, SimpleClassLabel negative) {
super();
this.pattern = pattern;
this.positive = positive;
this.negative = negative;
}
@Override
public BundleMeta getMeta() {
if(meta == null) {
// Rebuild metadata.
BundleMeta origmeta = source.getMeta();
meta = new BundleMeta(origmeta.size() + 1);
meta.add(TypeUtil.SIMPLE_CLASSLABEL);
labelcols.clear();
for(int i = 0; i < origmeta.size(); i++) {
final SimpleTypeInformation<?> orig = origmeta.get(i);
if(TypeUtil.GUESSED_LABEL.isAssignableFromType(orig)) {
labelcols.add(i);
}
meta.add(orig);
}
}
return meta;
}
@Override
public Object data(int rnum) {
if(rnum > 0) {
return source.data(rnum - 1);
}
if(meta == null) {
getMeta(); // Trigger build
}
for(int i = 0; i < labelcols.size(); i++) {
Object o = source.data(labelcols.get(i));
if(o == null) {
continue;
}
if(o instanceof LabelList) {
final LabelList ll = (LabelList) o;
for(int j = 0; j < ll.size(); j++) {
if(pattern.matcher(ll.get(j)).find()) {
return positive;
}
}
continue;
}
if(pattern.matcher(o.toString()).find()) {
return positive;
}
}
return negative;
}
@Override
public Event nextEvent() {
final Event ev = source.nextEvent();
if(Event.META_CHANGED.equals(ev)) {
meta = null;
}
return ev;
}
/**
* Parameterization class.
*
* @author Erich Schubert
*
* @apiviz.exclude
*/
public static class Parameterizer extends AbstractParameterizer {
/**
* Pattern for recognizing positive objects.
*/
public static final OptionID PATTERN_ID = new OptionID("class.pattern", "Regular expression to identify positive objects.");
/**
* Class label to assign to positive instances.
*/
public static final OptionID POSITIVE_ID = new OptionID("class.positive", "Class label to use for positive instances.");
/**
* Class label to assign to negative instances.
*/
public static final OptionID NEGATIVE_ID = new OptionID("class.negative", "Class label to use for negative instances.");
/**
* Matching pattern.
*/
Pattern pattern;
/**
* Names for positive and negative classes.
*/
String positive, negative;
@Override
protected void makeOptions(Parameterization config) {
super.makeOptions(config);
PatternParameter patternP = new PatternParameter(PATTERN_ID);
if(config.grab(patternP)) {
pattern = patternP.getValue();
}
StringParameter positiveP = new StringParameter(POSITIVE_ID, "positive");
if(config.grab(positiveP)) {
positive = positiveP.getValue();
}
StringParameter negativeP = new StringParameter(NEGATIVE_ID, "negative");
if(config.grab(negativeP)) {
negative = negativeP.getValue();
}
}
@Override
protected ClassLabelFromPatternFilter makeInstance() {
return new ClassLabelFromPatternFilter(pattern, positive, negative);
}
}
}
|
