/* * 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.ignite.ml.math.impls.matrix; import org.apache.ignite.ml.math.Matrix; import org.apache.ignite.ml.math.MatrixStorage; import org.apache.ignite.ml.math.StorageConstants; import org.apache.ignite.ml.math.Vector; import org.apache.ignite.ml.math.impls.storage.matrix.SparseLocalOnHeapMatrixStorage; import org.apache.ignite.ml.math.impls.vector.SparseLocalVector; /** * Sparse local onheap matrix with {@link SparseLocalVector} as rows. */ public class SparseLocalOnHeapMatrix extends AbstractMatrix implements StorageConstants { /** * */ public SparseLocalOnHeapMatrix() { // No-op. } /** * Construct new {@link SparseLocalOnHeapMatrix}. * * By default storage sets in row optimized mode and in random access mode. */ public SparseLocalOnHeapMatrix(int rows, int cols) { setStorage(mkStorage(rows, cols)); } /** * Create new {@link SparseLocalOnHeapMatrixStorage}. */ private MatrixStorage mkStorage(int rows, int cols) { return new SparseLocalOnHeapMatrixStorage(rows, cols, StorageConstants.RANDOM_ACCESS_MODE, StorageConstants.ROW_STORAGE_MODE); } /** {@inheritDoc} */ @Override public Matrix like(int rows, int cols) { return new SparseLocalOnHeapMatrix(rows, cols); } /** {@inheritDoc} */ @Override public Vector likeVector(int crd) { return new SparseLocalVector(crd, StorageConstants.RANDOM_ACCESS_MODE); } /** {@inheritDoc} */ @Override public Matrix copy() { Matrix cp = like(rowSize(), columnSize()); cp.assign(this); return cp; } }