org.nd4j.evaluation.serde.ConfusionMatrixSerializer Maven / Gradle / Ivy
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* Copyright (c) 2015-2018 Skymind, Inc.
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* 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.
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* Unless required by applicable law or agreed to in writing, software
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package org.nd4j.evaluation.serde;
import com.google.common.collect.Multiset;
import org.nd4j.evaluation.classification.ConfusionMatrix;
import org.nd4j.shade.jackson.core.JsonGenerator;
import org.nd4j.shade.jackson.core.JsonProcessingException;
import org.nd4j.shade.jackson.databind.JsonSerializer;
import org.nd4j.shade.jackson.databind.SerializerProvider;
import java.io.IOException;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
/**
* A JSON serializer for {@code ConfusionMatrix} instances, used in {@link org.deeplearning4j.eval.Evaluation}
*
* @author Alex Black
*/
public class ConfusionMatrixSerializer extends JsonSerializer> {
@Override
public void serialize(ConfusionMatrix cm, JsonGenerator gen, SerializerProvider provider)
throws IOException, JsonProcessingException {
List classes = cm.getClasses();
Map> matrix = cm.getMatrix();
Map m2 = new LinkedHashMap<>();
for (Integer i : matrix.keySet()) { //i = Actual class
Multiset ms = matrix.get(i);
int[][] arr = new int[2][ms.size()];
int used = 0;
for (Integer j : ms.elementSet()) {
int count = ms.count(j);
arr[0][used] = j; //j = Predicted class
arr[1][used] = count; //prediction count
used++;
}
m2.put(i, arr);
}
gen.writeStartObject();
gen.writeObjectField("classes", classes);
gen.writeObjectField("matrix", m2);
gen.writeEndObject();
}
}