104 lines
3.6 KiB
Java
104 lines
3.6 KiB
Java
/*
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* ******************************************************************************
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* *
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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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* * See the NOTICE file distributed with this work for additional
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* * information regarding copyright ownership.
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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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*/
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package org.deeplearning4j.earlystopping.scorecalc;
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import com.fasterxml.jackson.annotation.JsonIgnore;
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import com.fasterxml.jackson.annotation.JsonProperty;
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import lombok.NoArgsConstructor;
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import lombok.val;
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import org.deeplearning4j.nn.graph.ComputationGraph;
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import org.nd4j.linalg.dataset.DataSet;
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import org.nd4j.linalg.dataset.api.MultiDataSet;
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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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@NoArgsConstructor
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@Deprecated
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public class DataSetLossCalculatorCG implements ScoreCalculator<ComputationGraph> {
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@JsonIgnore
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private DataSetIterator dataSetIterator;
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@JsonIgnore
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private MultiDataSetIterator multiDataSetIterator;
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@JsonProperty
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private boolean average;
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/**Calculate the score (loss function value) on a given data set (usually a test set)
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*
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* @param dataSetIterator Data set to calculate the score for
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* @param average Whether to return the average (sum of loss / N) or just (sum of loss)
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*/
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public DataSetLossCalculatorCG(DataSetIterator dataSetIterator, boolean average) {
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this.dataSetIterator = dataSetIterator;
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this.average = average;
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}
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/**Calculate the score (loss function value) on a given data set (usually a test set)
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*
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* @param dataSetIterator Data set to calculate the score for
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* @param average Whether to return the average (sum of loss / N) or just (sum of loss)
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*/
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public DataSetLossCalculatorCG(MultiDataSetIterator dataSetIterator, boolean average) {
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this.multiDataSetIterator = dataSetIterator;
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this.average = average;
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}
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@Override
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public double calculateScore(ComputationGraph network) {
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double lossSum = 0.0;
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int exCount = 0;
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if (dataSetIterator != null) {
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dataSetIterator.reset();
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while (dataSetIterator.hasNext()) {
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DataSet dataSet = dataSetIterator.next();
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val nEx = dataSet.getFeatures().size(0);
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lossSum += network.score(dataSet) * nEx;
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exCount += nEx;
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}
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} else {
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multiDataSetIterator.reset();
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while (multiDataSetIterator.hasNext()) {
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MultiDataSet dataSet = multiDataSetIterator.next();
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val nEx = dataSet.getFeatures(0).size(0);
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lossSum += network.score(dataSet) * nEx;
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exCount += nEx;
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}
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}
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if (average)
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return lossSum / exCount;
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else
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return lossSum;
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}
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@Override
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public boolean minimizeScore() {
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return true;
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}
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@Override
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public String toString() {
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return "DataSetLossCalculatorCG(" + dataSetIterator + ",average=" + average + ")";
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}
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}
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