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org.elasticsearch.xpack.core.ml.dataframe.evaluation.classification.Classification Maven / Gradle / Ivy
/*
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
* or more contributor license agreements. Licensed under the Elastic License
* 2.0; you may not use this file except in compliance with the Elastic License
* 2.0.
*/
package org.elasticsearch.xpack.core.ml.dataframe.evaluation.classification;
import org.elasticsearch.Version;
import org.elasticsearch.common.Nullable;
import org.elasticsearch.common.ParseField;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.common.io.stream.StreamOutput;
import org.elasticsearch.common.xcontent.ConstructingObjectParser;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentParser;
import org.elasticsearch.xpack.core.ml.dataframe.evaluation.Evaluation;
import org.elasticsearch.xpack.core.ml.dataframe.evaluation.EvaluationFields;
import org.elasticsearch.xpack.core.ml.dataframe.evaluation.EvaluationMetric;
import org.elasticsearch.xpack.core.ml.utils.ExceptionsHelper;
import java.io.IOException;
import java.util.Arrays;
import java.util.List;
import java.util.Objects;
import static org.elasticsearch.xpack.core.ml.dataframe.evaluation.EvaluationFields.ACTUAL_FIELD;
import static org.elasticsearch.xpack.core.ml.dataframe.evaluation.EvaluationFields.PREDICTED_FIELD;
import static org.elasticsearch.xpack.core.ml.dataframe.evaluation.EvaluationFields.TOP_CLASSES_FIELD;
import static org.elasticsearch.xpack.core.ml.dataframe.evaluation.MlEvaluationNamedXContentProvider.registeredMetricName;
/**
* Evaluation of classification results.
*/
public class Classification implements Evaluation {
public static final ParseField NAME = new ParseField("classification");
private static final ParseField METRICS = new ParseField("metrics");
private static final String DEFAULT_TOP_CLASSES_FIELD = "ml.top_classes";
private static final String DEFAULT_PREDICTED_CLASS_FIELD_SUFFIX = ".class_name";
private static final String DEFAULT_PREDICTED_PROBABILITY_FIELD_SUFFIX = ".class_probability";
@SuppressWarnings("unchecked")
public static final ConstructingObjectParser PARSER =
new ConstructingObjectParser<>(
NAME.getPreferredName(),
a -> new Classification((String) a[0], (String) a[1], (String) a[2], (List) a[3]));
static {
PARSER.declareString(ConstructingObjectParser.constructorArg(), ACTUAL_FIELD);
PARSER.declareString(ConstructingObjectParser.optionalConstructorArg(), PREDICTED_FIELD);
PARSER.declareString(ConstructingObjectParser.optionalConstructorArg(), TOP_CLASSES_FIELD);
PARSER.declareNamedObjects(ConstructingObjectParser.optionalConstructorArg(),
(p, c, n) -> p.namedObject(EvaluationMetric.class, registeredMetricName(NAME.getPreferredName(), n), c), METRICS);
}
public static Classification fromXContent(XContentParser parser) {
return PARSER.apply(parser, null);
}
/**
* The collection of fields in the index being evaluated.
* fields.getActualField() is assumed to be a ground truth label.
* fields.getPredictedField() is assumed to be a predicted label.
* fields.getPredictedClassField() and fields.getPredictedProbabilityField() are assumed to be properties under the same nested field.
*/
private final EvaluationFields fields;
/**
* The list of metrics to calculate
*/
private final List metrics;
public Classification(String actualField,
@Nullable String predictedField,
@Nullable String topClassesField,
@Nullable List metrics) {
if (topClassesField == null) {
topClassesField = DEFAULT_TOP_CLASSES_FIELD;
}
String predictedClassField = topClassesField + DEFAULT_PREDICTED_CLASS_FIELD_SUFFIX;
String predictedProbabilityField = topClassesField + DEFAULT_PREDICTED_PROBABILITY_FIELD_SUFFIX;
this.fields =
new EvaluationFields(
ExceptionsHelper.requireNonNull(actualField, ACTUAL_FIELD),
predictedField,
topClassesField,
predictedClassField,
predictedProbabilityField,
true);
this.metrics = initMetrics(metrics, Classification::defaultMetrics);
}
private static List defaultMetrics() {
return Arrays.asList(new Accuracy(), new MulticlassConfusionMatrix(), new Precision(), new Recall());
}
public Classification(StreamInput in) throws IOException {
if (in.getVersion().onOrAfter(Version.V_7_10_0)) {
this.fields =
new EvaluationFields(
in.readString(),
in.readOptionalString(),
in.readOptionalString(),
in.readOptionalString(),
in.readOptionalString(),
true);
} else {
this.fields = new EvaluationFields(in.readString(), in.readString(), null, null, null, true);
}
this.metrics = in.readNamedWriteableList(EvaluationMetric.class);
}
@Override
public String getName() {
return NAME.getPreferredName();
}
@Override
public EvaluationFields getFields() {
return fields;
}
@Override
public List getMetrics() {
return metrics;
}
@Override
public String getWriteableName() {
return NAME.getPreferredName();
}
@Override
public void writeTo(StreamOutput out) throws IOException {
out.writeString(fields.getActualField());
if (out.getVersion().onOrAfter(Version.V_7_10_0)) {
out.writeOptionalString(fields.getPredictedField());
out.writeOptionalString(fields.getTopClassesField());
out.writeOptionalString(fields.getPredictedClassField());
out.writeOptionalString(fields.getPredictedProbabilityField());
} else {
out.writeString(fields.getPredictedField());
}
out.writeNamedWriteableList(metrics);
}
@Override
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
builder.startObject();
builder.field(ACTUAL_FIELD.getPreferredName(), fields.getActualField());
if (fields.getPredictedField() != null) {
builder.field(PREDICTED_FIELD.getPreferredName(), fields.getPredictedField());
}
if (fields.getTopClassesField() != null) {
builder.field(TOP_CLASSES_FIELD.getPreferredName(), fields.getTopClassesField());
}
builder.startObject(METRICS.getPreferredName());
for (EvaluationMetric metric : metrics) {
builder.field(metric.getName(), metric);
}
builder.endObject();
builder.endObject();
return builder;
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
Classification that = (Classification) o;
return Objects.equals(that.fields, this.fields)
&& Objects.equals(that.metrics, this.metrics);
}
@Override
public int hashCode() {
return Objects.hash(fields, metrics);
}
}