62 lines
2.2 KiB
Java
62 lines
2.2 KiB
Java
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/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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package org.deeplearning4j.earlystopping.scorecalc;
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import org.deeplearning4j.earlystopping.scorecalc.base.BaseIEvaluationScoreCalculator;
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import org.deeplearning4j.nn.api.Model;
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import org.nd4j.evaluation.classification.Evaluation;
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import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
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import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;
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/**
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* Score function for evaluating a MultiLayerNetwork according to an evaluation metric ({@link Evaluation.Metric} such
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* as accuracy, F1 score, etc.
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* Used for both MultiLayerNetwork and ComputationGraph
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*
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* @author Alex Black
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*/
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public class ClassificationScoreCalculator extends BaseIEvaluationScoreCalculator<Model, Evaluation> {
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protected final Evaluation.Metric metric;
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public ClassificationScoreCalculator(Evaluation.Metric metric, DataSetIterator iterator){
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super(iterator);
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this.metric = metric;
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}
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public ClassificationScoreCalculator(Evaluation.Metric metric, MultiDataSetIterator iterator){
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super(iterator);
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this.metric = metric;
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}
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@Override
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protected Evaluation newEval() {
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return new Evaluation();
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}
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@Override
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protected double finalScore(Evaluation e) {
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return e.scoreForMetric(metric);
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}
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@Override
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public boolean minimizeScore() {
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//All classification metrics should be maximized: ACCURACY, F1, PRECISION, RECALL, GMEASURE, MCC
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return false;
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}
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}
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