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/*
 * Licensed to Elasticsearch B.V. under one or more contributor
 * license agreements. See the NOTICE file distributed with
 * this work for additional information regarding copyright
 * ownership. Elasticsearch B.V. licenses this file to you under
 * the Apache License, Version 2.0 (the "License"); you may
 * not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://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.
 */

//----------------------------------------------------
// THIS CODE IS GENERATED. MANUAL EDITS WILL BE LOST.
//----------------------------------------------------

package co.elastic.clients.elasticsearch.ml;

import co.elastic.clients.json.JsonData;
import co.elastic.clients.json.JsonpDeserializable;
import co.elastic.clients.json.JsonpDeserializer;
import co.elastic.clients.json.JsonpMapper;
import co.elastic.clients.json.ObjectBuilderDeserializer;
import co.elastic.clients.json.ObjectDeserializer;
import co.elastic.clients.util.ApiTypeHelper;
import co.elastic.clients.util.ObjectBuilder;
import jakarta.json.stream.JsonGenerator;
import java.lang.String;
import java.util.Map;
import java.util.Objects;
import java.util.function.Function;
import javax.annotation.Nullable;

// typedef: ml._types.DataframeEvaluationClassificationMetrics

/**
 *
 * @see API
 *      specification
 */
@JsonpDeserializable
public class DataframeEvaluationClassificationMetrics extends DataframeEvaluationMetrics {
	private final Map accuracy;

	private final Map multiclassConfusionMatrix;

	// ---------------------------------------------------------------------------------------------

	private DataframeEvaluationClassificationMetrics(Builder builder) {
		super(builder);

		this.accuracy = ApiTypeHelper.unmodifiable(builder.accuracy);
		this.multiclassConfusionMatrix = ApiTypeHelper.unmodifiable(builder.multiclassConfusionMatrix);

	}

	public static DataframeEvaluationClassificationMetrics of(
			Function> fn) {
		return fn.apply(new Builder()).build();
	}

	/**
	 * Accuracy of predictions (per-class and overall).
	 * 

* API name: {@code accuracy} */ public final Map accuracy() { return this.accuracy; } /** * Multiclass confusion matrix. *

* API name: {@code multiclass_confusion_matrix} */ public final Map multiclassConfusionMatrix() { return this.multiclassConfusionMatrix; } protected void serializeInternal(JsonGenerator generator, JsonpMapper mapper) { super.serializeInternal(generator, mapper); if (ApiTypeHelper.isDefined(this.accuracy)) { generator.writeKey("accuracy"); generator.writeStartObject(); for (Map.Entry item0 : this.accuracy.entrySet()) { generator.writeKey(item0.getKey()); item0.getValue().serialize(generator, mapper); } generator.writeEnd(); } if (ApiTypeHelper.isDefined(this.multiclassConfusionMatrix)) { generator.writeKey("multiclass_confusion_matrix"); generator.writeStartObject(); for (Map.Entry item0 : this.multiclassConfusionMatrix.entrySet()) { generator.writeKey(item0.getKey()); item0.getValue().serialize(generator, mapper); } generator.writeEnd(); } } // --------------------------------------------------------------------------------------------- /** * Builder for {@link DataframeEvaluationClassificationMetrics}. */ public static class Builder extends DataframeEvaluationMetrics.AbstractBuilder implements ObjectBuilder { @Nullable private Map accuracy; @Nullable private Map multiclassConfusionMatrix; /** * Accuracy of predictions (per-class and overall). *

* API name: {@code accuracy} *

* Adds all entries of map to accuracy. */ public final Builder accuracy(Map map) { this.accuracy = _mapPutAll(this.accuracy, map); return this; } /** * Accuracy of predictions (per-class and overall). *

* API name: {@code accuracy} *

* Adds an entry to accuracy. */ public final Builder accuracy(String key, JsonData value) { this.accuracy = _mapPut(this.accuracy, key, value); return this; } /** * Multiclass confusion matrix. *

* API name: {@code multiclass_confusion_matrix} *

* Adds all entries of map to * multiclassConfusionMatrix. */ public final Builder multiclassConfusionMatrix(Map map) { this.multiclassConfusionMatrix = _mapPutAll(this.multiclassConfusionMatrix, map); return this; } /** * Multiclass confusion matrix. *

* API name: {@code multiclass_confusion_matrix} *

* Adds an entry to multiclassConfusionMatrix. */ public final Builder multiclassConfusionMatrix(String key, JsonData value) { this.multiclassConfusionMatrix = _mapPut(this.multiclassConfusionMatrix, key, value); return this; } @Override protected Builder self() { return this; } /** * Builds a {@link DataframeEvaluationClassificationMetrics}. * * @throws NullPointerException * if some of the required fields are null. */ public DataframeEvaluationClassificationMetrics build() { _checkSingleUse(); return new DataframeEvaluationClassificationMetrics(this); } } // --------------------------------------------------------------------------------------------- /** * Json deserializer for {@link DataframeEvaluationClassificationMetrics} */ public static final JsonpDeserializer _DESERIALIZER = ObjectBuilderDeserializer .lazy(Builder::new, DataframeEvaluationClassificationMetrics::setupDataframeEvaluationClassificationMetricsDeserializer); protected static void setupDataframeEvaluationClassificationMetricsDeserializer( ObjectDeserializer op) { DataframeEvaluationMetrics.setupDataframeEvaluationMetricsDeserializer(op); op.add(Builder::accuracy, JsonpDeserializer.stringMapDeserializer(JsonData._DESERIALIZER), "accuracy"); op.add(Builder::multiclassConfusionMatrix, JsonpDeserializer.stringMapDeserializer(JsonData._DESERIALIZER), "multiclass_confusion_matrix"); } }





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