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KiePMML Model for Clustering implementation
/*
* Copyright 2021 Red Hat, Inc. and/or its affiliates.
*
* Licensed 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.
*/
package org.kie.pmml.models.clustering.model;
import java.util.Collections;
import java.util.List;
import java.util.Optional;
import java.util.stream.Collectors;
import java.util.stream.Stream;
public class KiePMMLCluster {
private final List values;
private final Optional id;
private final Optional name;
public KiePMMLCluster(String id, String name, Double... values) {
this.values = Collections.unmodifiableList(Stream.of(values).collect(Collectors.toList()));
this.id = Optional.ofNullable(id);
this.name = Optional.ofNullable(name);
}
public List getValues() {
return values;
}
public double[] getValuesArray() {
return values.stream().mapToDouble(Double::doubleValue).toArray();
}
public Optional getId() {
return id;
}
public Optional getName() {
return name;
}
}
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