org.elasticsearch.client.ml.inference.trainedmodel.RegressionConfig Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of elasticsearch-rest-high-level-client Show documentation
Show all versions of elasticsearch-rest-high-level-client Show documentation
Elasticsearch subproject :client:rest-high-level
/*
* 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 and the Server Side Public License, v 1; you may not use this file except
* in compliance with, at your election, the Elastic License 2.0 or the Server
* Side Public License, v 1.
*/
package org.elasticsearch.client.ml.inference.trainedmodel;
import org.elasticsearch.xcontent.ConstructingObjectParser;
import org.elasticsearch.xcontent.ParseField;
import org.elasticsearch.xcontent.ToXContent;
import org.elasticsearch.xcontent.XContentBuilder;
import org.elasticsearch.xcontent.XContentParser;
import java.io.IOException;
import java.util.Objects;
import static org.elasticsearch.xcontent.ConstructingObjectParser.optionalConstructorArg;
public class RegressionConfig implements InferenceConfig {
public static final ParseField NAME = new ParseField("regression");
public static final ParseField RESULTS_FIELD = new ParseField("results_field");
public static final ParseField NUM_TOP_FEATURE_IMPORTANCE_VALUES = new ParseField("num_top_feature_importance_values");
private static final ConstructingObjectParser PARSER = new ConstructingObjectParser<>(
NAME.getPreferredName(),
true,
args -> new RegressionConfig((String) args[0], (Integer) args[1])
);
static {
PARSER.declareString(optionalConstructorArg(), RESULTS_FIELD);
PARSER.declareInt(optionalConstructorArg(), NUM_TOP_FEATURE_IMPORTANCE_VALUES);
}
public static RegressionConfig fromXContent(XContentParser parser) {
return PARSER.apply(parser, null);
}
private final String resultsField;
private final Integer numTopFeatureImportanceValues;
public RegressionConfig() {
this(null, null);
}
public RegressionConfig(String resultsField, Integer numTopFeatureImportanceValues) {
this.resultsField = resultsField;
this.numTopFeatureImportanceValues = numTopFeatureImportanceValues;
}
public Integer getNumTopFeatureImportanceValues() {
return numTopFeatureImportanceValues;
}
public String getResultsField() {
return resultsField;
}
@Override
public String getName() {
return NAME.getPreferredName();
}
@Override
public XContentBuilder toXContent(XContentBuilder builder, ToXContent.Params params) throws IOException {
builder.startObject();
if (resultsField != null) {
builder.field(RESULTS_FIELD.getPreferredName(), resultsField);
}
if (numTopFeatureImportanceValues != null) {
builder.field(NUM_TOP_FEATURE_IMPORTANCE_VALUES.getPreferredName(), numTopFeatureImportanceValues);
}
builder.endObject();
return builder;
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
RegressionConfig that = (RegressionConfig) o;
return Objects.equals(this.resultsField, that.resultsField)
&& Objects.equals(this.numTopFeatureImportanceValues, that.numTopFeatureImportanceValues);
}
@Override
public int hashCode() {
return Objects.hash(resultsField, numTopFeatureImportanceValues);
}
}
© 2015 - 2024 Weber Informatics LLC | Privacy Policy