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Apache Ignite® is a Distributed Database For High-Performance Computing With In-Memory Speed.

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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF 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.
 */

package org.apache.ignite.ml.knn;

import org.apache.ignite.ml.dataset.Dataset;
import org.apache.ignite.ml.dataset.DatasetBuilder;
import org.apache.ignite.ml.dataset.PartitionDataBuilder;
import org.apache.ignite.ml.dataset.primitive.context.EmptyContext;
import org.apache.ignite.ml.math.functions.IgniteBiFunction;
import org.apache.ignite.ml.structures.LabeledDataset;
import org.apache.ignite.ml.structures.LabeledVector;
import org.apache.ignite.ml.structures.partition.LabeledDatasetPartitionDataBuilderOnHeap;
import org.jetbrains.annotations.Nullable;

/**
 * Helper class for KNNRegression.
 */
public class KNNUtils {
    /**
     * Builds dataset.
     *
     * @param datasetBuilder Dataset builder.
     * @param featureExtractor Feature extractor.
     * @param lbExtractor Label extractor.
     * @return Dataset.
     */
    @Nullable public static  Dataset> buildDataset(DatasetBuilder datasetBuilder, IgniteBiFunction featureExtractor, IgniteBiFunction lbExtractor) {
        PartitionDataBuilder> partDataBuilder
            = new LabeledDatasetPartitionDataBuilderOnHeap<>(
            featureExtractor,
            lbExtractor
        );

        Dataset> dataset = null;

        if (datasetBuilder != null) {
            dataset = datasetBuilder.build(
                (upstream, upstreamSize) -> new EmptyContext(),
                partDataBuilder
            );
        }
        return dataset;
    }
}