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/*
 * Copyright (c) 2015-2020, Oracle and/or its affiliates. All rights reserved.
 *
 * Licensed 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 implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.tribuo.math.util;

import org.tribuo.math.la.DenseSparseMatrix;
import org.tribuo.math.la.SparseVector;

import java.io.Serializable;

/**
 * An interface for merging an array of {@link DenseSparseMatrix} into a single {@link DenseSparseMatrix}.
 * 

* Mergers are principally used to aggregate gradients across a minibatch. *

* Merging is done by summation. */ public interface Merger extends Serializable { /** * Merges an array of DenseSparseMatrix into a single DenseSparseMatrix. * @param inputs The matrices to merge. * @return The merged matrix. */ public DenseSparseMatrix merge(DenseSparseMatrix[] inputs); /** * Merges an array of SparseVector into a single SparseVector. * @param inputs The vectors to merge. * @return The merged vector. */ public SparseVector merge(SparseVector[] inputs); }





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