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Neo4j Graph Data Science :: Procedures :: Machine Learning
/*
* Copyright (c) "Neo4j"
* Neo4j Sweden AB [http://neo4j.com]
*
* This file is part of Neo4j.
*
* Neo4j is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
package org.neo4j.gds.ml.pipeline.node;
import org.neo4j.gds.result.AbstractResultBuilder;
import org.neo4j.gds.procedures.algorithms.results.StandardMutateResult;
import java.util.Map;
public final class PredictMutateResult extends StandardMutateResult {
public final long nodePropertiesWritten;
private PredictMutateResult(
long preProcessingMillis,
long computeMillis,
long mutateMillis,
long nodePropertiesWritten,
Map configuration
) {
super(
preProcessingMillis,
computeMillis,
0L,
mutateMillis,
configuration
);
this.nodePropertiesWritten = nodePropertiesWritten;
}
public static class Builder extends AbstractResultBuilder {
@Override
public PredictMutateResult build() {
return new PredictMutateResult(
preProcessingMillis,
computeMillis,
mutateMillis,
nodePropertiesWritten,
config.toMap()
);
}
}
}