You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@mahout.apache.org by td...@apache.org on 2010/10/17 09:55:14 UTC
svn commit: r1023433 - in /mahout/trunk/math/src:
main/java/org/apache/mahout/math/VectorList.java
test/java/org/apache/mahout/math/VectorListTest.java
Author: tdunning
Date: Sun Oct 17 07:55:14 2010
New Revision: 1023433
URL: http://svn.apache.org/viewvc?rev=1023433&view=rev
Log:
MAHOUT-528 - The actual VectorList
Added:
mahout/trunk/math/src/main/java/org/apache/mahout/math/VectorList.java
mahout/trunk/math/src/test/java/org/apache/mahout/math/VectorListTest.java
Added: mahout/trunk/math/src/main/java/org/apache/mahout/math/VectorList.java
URL: http://svn.apache.org/viewvc/mahout/trunk/math/src/main/java/org/apache/mahout/math/VectorList.java?rev=1023433&view=auto
==============================================================================
--- mahout/trunk/math/src/main/java/org/apache/mahout/math/VectorList.java (added)
+++ mahout/trunk/math/src/main/java/org/apache/mahout/math/VectorList.java Sun Oct 17 07:55:14 2010
@@ -0,0 +1,286 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.mahout.math;
+
+import com.google.common.base.Preconditions;
+import com.google.common.collect.AbstractIterator;
+import com.google.common.collect.Lists;
+import com.google.gson.JsonDeserializationContext;
+import com.google.gson.JsonDeserializer;
+import com.google.gson.JsonElement;
+import com.google.gson.JsonObject;
+import com.google.gson.JsonParseException;
+import com.google.gson.reflect.TypeToken;
+
+import java.lang.reflect.Type;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * Provides a very flexible matrix that is based on a simple list of vectors.
+ */
+public class VectorList extends AbstractMatrix {
+ private int columns;
+ private List<Vector> data = Lists.newArrayList();
+
+ public VectorList(int columns) {
+ this.columns = columns;
+ cardinality[COL] = columns;
+ }
+
+ public VectorList(int rows, int columns) {
+ this(columns);
+ extendTo(rows);
+ }
+
+ @Override
+ public int columnSize() {
+ return columns;
+ }
+
+ @Override
+ public int rowSize() {
+ return data.size();
+ }
+
+ @Override
+ public int[] size() {
+ super.cardinality[ROW] = data.size();
+ return cardinality;
+ }
+
+ public Matrix assignColumn(int column, Vector other) {
+ if (other.size() != rowSize()) {
+ throw new CardinalityException(rowSize(), other.size());
+ }
+ int i = 0;
+ for (Vector row : data) {
+ if (row == null) {
+ throw new NullPointerException("Can't insert value into null row ... is matrix row sparse?");
+ }
+ row.set(column, other.get(i));
+ i++;
+ }
+ return this;
+ }
+
+ public Matrix assignRow(int row, Vector other) {
+ if (other.size() != columns) {
+ throw new CardinalityException(columns, other.size());
+ }
+ extendTo(row + 1);
+ data.set(row, other);
+ return this;
+ }
+
+ public Vector getColumn(final int column) {
+ if (column < 0 || column >= columnSize()) {
+ throw new IndexException(column, columnSize());
+ }
+ return new AbstractVector(rowSize()) {
+ @Override
+ protected Matrix matrixLike(int rows, int columns) {
+ throw new UnsupportedOperationException("Can't get a matrix like a VectorList");
+ }
+
+ public boolean isDense() {
+ return true;
+ }
+
+ public boolean isSequentialAccess() {
+ return true;
+ }
+
+ public Iterator<Element> iterator() {
+ return new AbstractIterator<Element>() {
+ int i = 0;
+
+ @Override
+ protected Element computeNext() {
+ if (i >= data.size()) {
+ return endOfData();
+ } else {
+ return new Element() {
+ int row = i++;
+
+ public double get() {
+ return VectorList.this.get(row, column);
+ }
+
+ public int index() {
+ return row;
+ }
+
+ public void set(double value) {
+ VectorList.this.setQuick(row, column, value);
+ }
+ };
+ }
+ }
+ };
+ }
+
+ public Iterator<Element> iterateNonZero() {
+ return iterator();
+ }
+
+ public double getQuick(int index) {
+ return VectorList.this.getQuick(index, column);
+ }
+
+ public Vector like() {
+ return new DenseVector(rowSize());
+ }
+
+ public void setQuick(int index, double value) {
+ VectorList.this.setQuick(index, column, value);
+ }
+
+ public int getNumNondefaultElements() {
+ return data.size();
+ }
+ };
+ }
+
+ /**
+ * Return the row at the given index
+ *
+ * @param row an int row index
+ * @return a Vector at the index
+ * @throws IndexException if the index is out of bounds
+ */
+ public Vector getRow(int row) {
+ if (row < 0 || row >= rowSize()) {
+ throw new IndexException(row, rowSize());
+ }
+ return data.get(row);
+ }
+
+ /**
+ * Return the value at the given indexes, without checking bounds
+ *
+ * @param row an int row index
+ * @param column an int column index
+ * @return the double at the index
+ */
+ public double getQuick(int row, int column) {
+ return data.get(row).getQuick(column);
+ }
+
+ /**
+ * Return an empty matrix of the same underlying class as the receiver
+ *
+ * @return a Matrix
+ */
+ public Matrix like() {
+ VectorList r = new VectorList(columns);
+ int i = 0;
+ for (Vector vector : data) {
+ r.adjoinRow(vector.like());
+ }
+ return r;
+ }
+
+ /**
+ * Returns an empty matrix of the same underlying class as the receiver and of the specified
+ * size.
+ *
+ * @param rows the int number of rows
+ * @param columns the int number of columns
+ */
+ public Matrix like(int rows, int columns) {
+ VectorList r = new VectorList(rows, columns);
+ for (int i = 0; i < rows; i++) {
+ r.data.set(i, new DenseVector(columns));
+ }
+ return r;
+ }
+
+ /**
+ * Set the value at the given index, without checking bounds
+ *
+ * @param row an int row index into the receiver
+ * @param column an int column index into the receiver
+ * @param value a double value to set
+ */
+ public void setQuick(int row, int column, double value) {
+ data.get(row).setQuick(column, value);
+ }
+
+ /**
+ * Return the number of values in the recipient
+ *
+ * @return an int[2] containing [row, column] count
+ */
+ public int[] getNumNondefaultElements() {
+ return new int[]{data.size(), columns};
+ }
+
+ /**
+ * Return a new matrix containing the subset of the recipient
+ *
+ * @param offset an int[2] offset into the receiver
+ * @param size the int[2] size of the desired result
+ * @return a new Matrix that is a view of the original
+ * @throws CardinalityException if the length is greater than the cardinality of the receiver
+ * @throws IndexException if the offset is negative or the offset+length is outside of the
+ * receiver
+ */
+ public Matrix viewPart(int[] offset, int[] size) {
+ super.cardinality[ROW] = data.size();
+ return new MatrixView(this, offset, size);
+ }
+
+ private void extendTo(int newLimit) {
+ while (data.size() < newLimit) {
+ data.add(null);
+ }
+ }
+
+ public void adjoinRow(Vector vector) {
+ Preconditions.checkArgument(vector.size() == columns);
+ data.add(vector);
+ }
+
+ public void adjoinRow(Matrix other) {
+ Preconditions.checkArgument(other.columnSize() == columns);
+ for (int row = 0; row < other.rowSize(); row++) {
+ adjoinRow(other.getRow(row));
+ }
+ }
+
+ protected static class JsonVectorListAdapter implements JsonDeserializer<VectorList> {
+ private Type collectionType = new TypeToken<List<Vector>>(){}.getType();
+ private Type labelType = new TypeToken<Map<String, Integer>>(){}.getType();
+
+ public VectorList deserialize(JsonElement json, Type typeOfT, JsonDeserializationContext context) throws JsonParseException {
+ JsonObject jo = json.getAsJsonObject();
+ VectorList r = new VectorList(jo.get("columns").getAsInt());
+ r.data = context.deserialize(jo.get("data"), collectionType);
+ if (jo.get("columnLabelBindings") != null) {
+ r.columnLabelBindings = context.deserialize(jo.get("columnLabelBindings"), labelType);
+ }
+ if (jo.get("rowLabelBindings") != null) {
+ r.rowLabelBindings = context.deserialize(jo.get("rowLabelBindings"), labelType);
+ }
+
+ return r;
+ }
+ }
+}
Added: mahout/trunk/math/src/test/java/org/apache/mahout/math/VectorListTest.java
URL: http://svn.apache.org/viewvc/mahout/trunk/math/src/test/java/org/apache/mahout/math/VectorListTest.java?rev=1023433&view=auto
==============================================================================
--- mahout/trunk/math/src/test/java/org/apache/mahout/math/VectorListTest.java (added)
+++ mahout/trunk/math/src/test/java/org/apache/mahout/math/VectorListTest.java Sun Oct 17 07:55:14 2010
@@ -0,0 +1,29 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.mahout.math;
+
+public class VectorListTest extends MatrixTest {
+ @Override
+ public Matrix matrixFactory(double[][] values) {
+ VectorList r = new VectorList(values[0].length);
+ for (double[] row : values) {
+ r.adjoinRow(new DenseVector(row));
+ }
+ return r;
+ }
+}