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org.nd4j.evaluation.serde.ROCSerializer Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.nd4j.evaluation.serde;
import org.nd4j.evaluation.classification.ROC;
import org.nd4j.shade.jackson.core.JsonGenerator;
import org.nd4j.shade.jackson.databind.JsonSerializer;
import org.nd4j.shade.jackson.databind.SerializerProvider;
import org.nd4j.shade.jackson.databind.jsontype.TypeSerializer;
import java.io.IOException;
/**
* Custom Jackson serializer for ROC.
* This is necessary to force calculation of the AUC and AUPRC metrics, so said metrics can be stored in the JSON;
* this is important for exact ROC, as if it's not present at the time of serialization, it cannot be calculated later,
* due to the underlying (very large) predictions no longer being present.
*
* @author Alex Black
*/
public class ROCSerializer extends JsonSerializer {
@Override
public void serialize(ROC roc, JsonGenerator jsonGenerator, SerializerProvider serializerProvider)
throws IOException {
boolean empty = roc.getExampleCount() == 0;
if (roc.isExact() && !empty) {
//For exact ROC implementation: force AUC and AUPRC calculation, so result can be stored in JSON, such
//that we have them once deserialized.
//Due to potentially huge size, exact mode doesn't store the original predictions in JSON
roc.calculateAUC();
roc.calculateAUCPR();
}
jsonGenerator.writeNumberField("thresholdSteps", roc.getThresholdSteps());
jsonGenerator.writeNumberField("countActualPositive", roc.getCountActualPositive());
jsonGenerator.writeNumberField("countActualNegative", roc.getCountActualNegative());
jsonGenerator.writeObjectField("counts", roc.getCounts());
if(!empty) {
jsonGenerator.writeNumberField("auc", roc.calculateAUC());
jsonGenerator.writeNumberField("auprc", roc.calculateAUCPR());
}
if (roc.isExact() && !empty) {
//Store ROC and PR curves only for exact mode... they are redundant + can be calculated again for thresholded mode
jsonGenerator.writeObjectField("rocCurve", roc.getRocCurve());
jsonGenerator.writeObjectField("prCurve", roc.getPrecisionRecallCurve());
}
jsonGenerator.writeBooleanField("isExact", roc.isExact());
jsonGenerator.writeNumberField("exampleCount", roc.getExampleCount());
jsonGenerator.writeBooleanField("rocRemoveRedundantPts", roc.isRocRemoveRedundantPts());
}
@Override
public void serializeWithType(ROC value, JsonGenerator gen, SerializerProvider serializers, TypeSerializer typeSer)
throws IOException {
typeSer.writeTypePrefixForObject(value, gen);
serialize(value, gen, serializers);
typeSer.writeTypeSuffixForObject(value, gen);
}
}
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