blob: 7bbbab2d496f8b1a9bae9be31571611f5ed95e7f (
plain)
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
|
package de.lmu.ifi.dbs.elki.datasource.filter;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2011
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 java.util.BitSet;
import java.util.Collections;
import java.util.Map;
import de.lmu.ifi.dbs.elki.data.SparseFloatVector;
import de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation;
import de.lmu.ifi.dbs.elki.data.type.TypeUtil;
import de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation;
import de.lmu.ifi.dbs.elki.utilities.Util;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization;
/**
* <p>
* Parser to project the ParsingResult obtained by a suitable base parser onto a
* selected subset of attributes.
* </p>
*
* @author Arthur Zimek
*
*/
public class SparseFloatVectorProjectionFilter extends AbstractFeatureSelectionFilter<SparseFloatVector> {
/**
* Constructor.
*
* @param selectedAttributes
*/
public SparseFloatVectorProjectionFilter(BitSet selectedAttributes) {
super(selectedAttributes);
}
@Override
protected SparseFloatVector filterSingleObject(SparseFloatVector obj) {
return Util.project(obj, getSelectedAttributes());
}
@Override
protected SimpleTypeInformation<? super SparseFloatVector> getInputTypeRestriction() {
return TypeUtil.SPARSE_FLOAT_FIELD;
}
@Override
protected SimpleTypeInformation<? super SparseFloatVector> convertedType(SimpleTypeInformation<SparseFloatVector> in) {
final Map<Integer, Float> emptyMap = Collections.emptyMap();
return new VectorFieldTypeInformation<SparseFloatVector>(SparseFloatVector.class, getDimensionality(), new SparseFloatVector(emptyMap, getDimensionality()));
}
/**
* Parameterization class.
*
* @author Erich Schubert
*
* @apiviz.exclude
*/
public static class Parameterizer extends AbstractFeatureSelectionFilter.Parameterizer<SparseFloatVector> {
@Override
protected void makeOptions(Parameterization config) {
super.makeOptions(config);
}
@Override
protected SparseFloatVectorProjectionFilter makeInstance() {
return new SparseFloatVectorProjectionFilter(selectedAttributes);
}
}
}
|