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authorAndrej Shadura <andrewsh@debian.org>2019-03-09 22:30:41 +0000
committerAndrej Shadura <andrewsh@debian.org>2019-03-09 22:30:41 +0000
commit38212b3127e90751fb39cda34250bc11be62b76c (patch)
treedc1397346030e9695bd763dddc93b3be527cd643 /elki/src/main/java/de/lmu/ifi/dbs/elki/data/SparseNumberVector.java
parent337087b668d3a54f3afee3a9adb597a32e9f7e94 (diff)
Import Upstream version 0.7.0
Diffstat (limited to 'elki/src/main/java/de/lmu/ifi/dbs/elki/data/SparseNumberVector.java')
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diff --git a/elki/src/main/java/de/lmu/ifi/dbs/elki/data/SparseNumberVector.java b/elki/src/main/java/de/lmu/ifi/dbs/elki/data/SparseNumberVector.java
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+package de.lmu.ifi.dbs.elki.data;
+
+/*
+ This file is part of ELKI:
+ Environment for Developing KDD-Applications Supported by Index-Structures
+
+ Copyright (C) 2015
+ 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.map.TIntDoubleMap;
+
+/**
+ * Combines the SparseFeatureVector and NumberVector.
+ *
+ * @author Erich Schubert
+ */
+public interface SparseNumberVector extends NumberVector, SparseFeatureVector<Number> {
+ /**
+ * Iterator over non-zero features only, <em>ascendingly</em>.
+ *
+ * Note: depending on the underlying implementation, this may or may not be
+ * the dimension. Use {@link #iterDim} to get the actual dimension. In fact,
+ * usually this will be the ith non-zero value, assuming an array
+ * representation.
+ *
+ * Think of this number as an iterator. For efficiency, it has a primitive
+ * type!
+ *
+ * Intended usage:
+ *
+ * <pre>
+ * {@code
+ * for (int iter = v.iter(); v.iterValid(iter); iter = v.iterAdvance(iter)) {
+ * final int dim = v.iterDim(iter);
+ * final double val = v.iterDoubleValue(iter);
+ * // Do something.
+ * }
+ * }
+ * </pre>
+ *
+ * @return Identifier for the first non-zero dimension, <b>not necessarily the
+ * dimension!</b>
+ */
+ @Override
+ int iter();
+
+ /**
+ * Update the vector space dimensionality.
+ *
+ * @param maxdim New dimensionality
+ */
+ void setDimensionality(int maxdim);
+
+ /**
+ * Get the value of the iterators' current dimension.
+ *
+ * @param iter Iterator
+ * @return Value at the current position
+ */
+ double iterDoubleValue(int iter);
+
+ /**
+ * Get the value of the iterators' current dimension.
+ *
+ * @param iter Iterator
+ * @return Value at the current position
+ */
+ float iterFloatValue(int iter);
+
+ /**
+ * Get the value of the iterators' current dimension.
+ *
+ * @param iter Iterator
+ * @return Value at the current position
+ */
+ int iterIntValue(int iter);
+
+ /**
+ * Get the value of the iterators' current dimension.
+ *
+ * @param iter Iterator
+ * @return Value at the current position
+ */
+ short iterShortValue(int iter);
+
+ /**
+ * Get the value of the iterators' current dimension.
+ *
+ * @param iter Iterator
+ * @return Value at the current position
+ */
+ long iterLongValue(int iter);
+
+ /**
+ * Get the value of the iterators' current dimension.
+ *
+ * @param iter Iterator
+ * @return Value at the current position
+ */
+ byte iterByteValue(int iter);
+
+ /**
+ * @deprecated As the vectors are sparse, try to iterate over the sparse
+ * dimensions only, see {@link #iterDoubleValue}.
+ */
+ @Override
+ @Deprecated
+ double doubleValue(int dimension);
+
+ /**
+ * @deprecated As the vectors are sparse, try to iterate over the sparse
+ * dimensions only, see {@link #iterFloatValue}.
+ */
+ @Override
+ @Deprecated
+ float floatValue(int dimension);
+
+ /**
+ * @deprecated As the vectors are sparse, try to iterate over the sparse
+ * dimensions only, see {@link #iterIntValue}.
+ */
+ @Override
+ @Deprecated
+ int intValue(int dimension);
+
+ /**
+ * @deprecated As the vectors are sparse, try to iterate over the sparse
+ * dimensions only, see {@link #iterLongValue}.
+ */
+ @Override
+ @Deprecated
+ long longValue(int dimension);
+
+ /**
+ * @deprecated As the vectors are sparse, try to iterate over the sparse
+ * dimensions only, see {@link #iterShortValue}.
+ */
+ @Override
+ @Deprecated
+ short shortValue(int dimension);
+
+ /**
+ * @deprecated As the vectors are sparse, try to iterate over the sparse
+ * dimensions only, see {@link #iterByteValue}.
+ */
+ @Override
+ @Deprecated
+ byte byteValue(int dimension);
+
+ /**
+ * Factory for sparse number vectors: make from a dim-value map.
+ *
+ * @author Erich Schubert
+ *
+ * @apiviz.has SparseNumberVector
+ *
+ * @param <V> Vector type number type
+ */
+ interface Factory<V extends SparseNumberVector> extends NumberVector.Factory<V> {
+ /**
+ * Returns a new NumberVector of N for the given values.
+ *
+ * @param values the values of the NumberVector
+ * @param maxdim Maximum dimensionality.
+ * @return a new NumberVector of N for the given values
+ */
+ V newNumberVector(TIntDoubleMap values, int maxdim);
+ }
+}