org.neo4j.gds.ml.kge.KGEPredictMutateSpec Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of proc-machine-learning Show documentation
Show all versions of proc-machine-learning Show documentation
Neo4j Graph Data Science :: Procedures :: Machine Learning
The newest version!
/*
* 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.kge;
import org.neo4j.gds.algorithms.machinelearning.KGEPredictMutateConfig;
import org.neo4j.gds.algorithms.machinelearning.KGEPredictResult;
import org.neo4j.gds.algorithms.machinelearning.TopKMapComputer;
import org.neo4j.gds.executor.AlgorithmSpec;
import org.neo4j.gds.executor.ComputationResult;
import org.neo4j.gds.executor.ComputationResultConsumer;
import org.neo4j.gds.executor.ExecutionContext;
import org.neo4j.gds.executor.GdsCallable;
import org.neo4j.gds.procedures.algorithms.configuration.NewConfigFunction;
import org.neo4j.gds.procedures.algorithms.machinelearning.KGEMutateResult;
import java.util.stream.Stream;
import static org.neo4j.gds.executor.ExecutionMode.MUTATE_RELATIONSHIP;
@GdsCallable(name = "gds.ml.kge.predict.mutate", description = "Predicts new relationships using an existing KGE model", executionMode = MUTATE_RELATIONSHIP)
public class KGEPredictMutateSpec implements AlgorithmSpec<
TopKMapComputer,
KGEPredictResult,
KGEPredictMutateConfig,
Stream,
KGEPredictAlgorithmFactory> {
@Override
public String name() {
return "KGEPredictMutate";
}
@Override
public KGEPredictAlgorithmFactory algorithmFactory(ExecutionContext executionContext) {
return new KGEPredictAlgorithmFactory<>();
}
@Override
public NewConfigFunction newConfigFunction() {
return (__, config) -> KGEPredictMutateConfig.of(config);
}
@Override
public ComputationResultConsumer> computationResultConsumer() {
return new KGEMutateResultConsumer(this::resultBuilder);
}
private KGEMutateResult.Builder resultBuilder(
ComputationResult computeResult,
ExecutionContext executionContext
) {
return new KGEMutateResult.Builder();
}
}