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Apache Ignite® is a Distributed Database For High-Performance Computing With In-Memory Speed.
/*
* 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.structures.partition;
import java.io.Serializable;
import java.util.Iterator;
import org.apache.ignite.ml.dataset.PartitionDataBuilder;
import org.apache.ignite.ml.dataset.UpstreamEntry;
import org.apache.ignite.ml.math.functions.IgniteBiFunction;
import org.apache.ignite.ml.structures.LabeledDataset;
import org.apache.ignite.ml.structures.LabeledVector;
/**
* Partition data builder that builds {@link LabeledDataset}.
*
* @param Type of a key in upstream data.
* @param Type of a value in upstream data.
* @param Type of a partition context.
*/
public class LabeledDatasetPartitionDataBuilderOnHeap
implements PartitionDataBuilder> {
/** */
private static final long serialVersionUID = -7820760153954269227L;
/** Extractor of X matrix row. */
private final IgniteBiFunction xExtractor;
/** Extractor of Y vector value. */
private final IgniteBiFunction yExtractor;
/**
* Constructs a new instance of SVM partition data builder.
*
* @param xExtractor Extractor of X matrix row.
* @param yExtractor Extractor of Y vector value.
*/
public LabeledDatasetPartitionDataBuilderOnHeap(IgniteBiFunction xExtractor,
IgniteBiFunction yExtractor) {
this.xExtractor = xExtractor;
this.yExtractor = yExtractor;
}
/** {@inheritDoc} */
@Override public LabeledDataset build(Iterator> upstreamData,
long upstreamDataSize, C ctx) {
int xCols = -1;
double[][] x = null;
double[] y = new double[Math.toIntExact(upstreamDataSize)];
int ptr = 0;
while (upstreamData.hasNext()) {
UpstreamEntry entry = upstreamData.next();
double[] row = xExtractor.apply(entry.getKey(), entry.getValue());
if (xCols < 0) {
xCols = row.length;
x = new double[Math.toIntExact(upstreamDataSize)][xCols];
}
else
assert row.length == xCols : "X extractor must return exactly " + xCols + " columns";
x[ptr] = row;
y[ptr] = yExtractor.apply(entry.getKey(), entry.getValue());
ptr++;
}
return new LabeledDataset<>(x, y);
}
}
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