/* SPDX-License-Identifier: Apache-2.0 * * The OpenSearch Contributors require contributions made to * this file be licensed under the Apache-2.0 license or a * compatible open source license. */ /* * Modifications Copyright OpenSearch Contributors. See * GitHub history for details. * * Licensed to Elasticsearch B.V. under one or more contributor * license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright * ownership. Elasticsearch B.V. 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. */ using System.Diagnostics.CodeAnalysis; using System.Runtime.Serialization; using OpenSearch.Net; namespace OpenSearch.Client.Specification.IndicesApi { [StringEnum] [SuppressMessage("ReSharper", "InconsistentNaming")] public enum DFRBasicModel { /// /// Limiting form of the Bose-Einstein model. The formula used in Lucene differs slightly from the one in the original paper: F is increased by /// tfn+1 and N is increased by F /// [EnumMember(Value = "be")] BE, /// /// Implements the approximation of the binomial model with the divergence for DFR. /// The formula used in Lucene differs slightly from the one in the original paper: to avoid underflow for small values of N and F, N is /// increased by 1 and F is always increased by tfn+1. /// [EnumMember(Value = "d")] D, /// /// Geometric as limiting form of the Bose-Einstein model. The formula used in Lucene differs slightly from the one in the original paper: F is /// increased by 1 and N is increased by F. /// [EnumMember(Value = "g")] G, /// /// An approximation of the I(ne) model. /// [EnumMember(Value = "if")] IF, /// /// The basic tf-idf model of randomness. /// [EnumMember(Value = "in")] IN, /// /// Tf-idf model of randomness, based on a mixture of Poisson and inverse document frequency. /// [EnumMember(Value = "ine")] INE, /// /// Implements the Poisson approximation for the binomial model for DFR. /// [EnumMember(Value = "p")] P } }