org.neo4j.gds.procedures.pipelines.PredictedProbabilities Maven / Gradle / Ivy

Go to download

Show more of this group Show more artifacts with this name
Show all versions of pipelines-procedure-facade Show documentation

Neo4j Graph Data Science :: Pipelines Procedure Facade

There is a newer version: 2.15.0

Show 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.procedures.pipelines;

import org.jetbrains.annotations.NotNull;
import org.neo4j.gds.api.properties.nodes.NodePropertyValuesAdapter;
import org.neo4j.gds.core.write.NodeProperty;

import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Optional;

public final class PredictedProbabilities {
    private PredictedProbabilities() {}

    @NotNull
    public static List asProperties(
        Optional result,
        String propertyName,
        Optional predictedProbabilityProperty
    ) {
        if (result.isEmpty()) return Collections.emptyList();

        var nodeProperties = new ArrayList();

        var classProperties = NodePropertyValuesAdapter.adapt(result.get().predictedClasses());
        nodeProperties.add(NodeProperty.of(propertyName, classProperties));

        if (result.get().predictedProbabilities().isEmpty()) return nodeProperties;

        var nodePropertyValues = NodePropertyValuesAdapter.adapt(result.get().predictedProbabilities().get());
        nodeProperties.add(NodeProperty.of(predictedProbabilityProperty.orElseThrow(), nodePropertyValues));

        return nodeProperties;
    }
}