115 lines
4.3 KiB
Java
115 lines
4.3 KiB
Java
/*******************************************************************************
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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.eval;
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import lombok.Data;
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import lombok.EqualsAndHashCode;
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import java.util.List;
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/**
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* @deprecated Use ND4J RegressionEvaluation class, which has the same interface: {@link org.nd4j.evaluation.regression.RegressionEvaluation}
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*/
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@Deprecated
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@Data
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@EqualsAndHashCode(callSuper = true)
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public class RegressionEvaluation extends org.nd4j.evaluation.regression.RegressionEvaluation implements org.deeplearning4j.eval.IEvaluation<org.nd4j.evaluation.regression.RegressionEvaluation> {
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/**
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* @deprecated Use ND4J RegressionEvaluation class, which has the same interface: {@link org.nd4j.evaluation.regression.RegressionEvaluation.Metric}
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*/
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@Deprecated
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public enum Metric { MSE, MAE, RMSE, RSE, PC, R2;
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public boolean minimize(){
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return toNd4j().minimize();
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}
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public org.nd4j.evaluation.regression.RegressionEvaluation.Metric toNd4j(){
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switch (this){
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case MSE:
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return org.nd4j.evaluation.regression.RegressionEvaluation.Metric.MSE;
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case MAE:
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return org.nd4j.evaluation.regression.RegressionEvaluation.Metric.MAE;
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case RMSE:
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return org.nd4j.evaluation.regression.RegressionEvaluation.Metric.RMSE;
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case RSE:
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return org.nd4j.evaluation.regression.RegressionEvaluation.Metric.RSE;
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case PC:
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return org.nd4j.evaluation.regression.RegressionEvaluation.Metric.PC;
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case R2:
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return org.nd4j.evaluation.regression.RegressionEvaluation.Metric.R2;
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default:
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throw new IllegalStateException("Unknown enum: " + this);
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}
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}
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}
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/**
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* @deprecated Use ND4J RegressionEvaluation class, which has the same interface: {@link org.nd4j.evaluation.regression.RegressionEvaluation}
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*/
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@Deprecated
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public RegressionEvaluation() { }
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/**
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* @deprecated Use ND4J RegressionEvaluation class, which has the same interface: {@link org.nd4j.evaluation.regression.RegressionEvaluation}
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*/
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@Deprecated
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public RegressionEvaluation(long nColumns) {
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super(nColumns);
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}
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/**
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* @deprecated Use ND4J RegressionEvaluation class, which has the same interface: {@link org.nd4j.evaluation.regression.RegressionEvaluation}
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*/
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@Deprecated
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public RegressionEvaluation(long nColumns, long precision) {
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super(nColumns, precision);
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}
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/**
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* @deprecated Use ND4J RegressionEvaluation class, which has the same interface: {@link org.nd4j.evaluation.regression.RegressionEvaluation}
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*/
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@Deprecated
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public RegressionEvaluation(String... columnNames) {
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super(columnNames);
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}
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/**
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* @deprecated Use ND4J RegressionEvaluation class, which has the same interface: {@link org.nd4j.evaluation.regression.RegressionEvaluation}
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*/
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@Deprecated
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public RegressionEvaluation(List<String> columnNames) {
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super(columnNames);
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}
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/**
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* @deprecated Use ND4J RegressionEvaluation class, which has the same interface: {@link org.nd4j.evaluation.regression.RegressionEvaluation}
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*/
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@Deprecated
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public RegressionEvaluation(List<String> columnNames, long precision) {
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super(columnNames, precision);
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}
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/**
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* @deprecated Use ND4J RegressionEvaluation class, which has the same interface: {@link org.nd4j.evaluation.regression.RegressionEvaluation}
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*/
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@Deprecated
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public double scoreForMetric(Metric metric){
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return scoreForMetric(metric.toNd4j());
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}
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}
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