blob: 9b385a172ab2da7801568c3b852894d8733cbf5e [file] [log] [blame]
namespace Lucene.Net.Search.Similarities
{
/*
* 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.
*/
/// <summary>
/// This class acts as the base class for the specific <em>basic model</em>
/// implementations in the DFR framework. Basic models compute the
/// <em>informative content Inf<sub>1</sub> = -log<sub>2</sub>Prob<sub>1</sub>
/// </em>.
/// <para/>
/// @lucene.experimental
/// </summary>
/// <seealso cref="DFRSimilarity"/>
public abstract class BasicModel
{
/// <summary>
/// Sole constructor. (For invocation by subclass
/// constructors, typically implicit.)
/// </summary>
protected BasicModel() // LUCENENET: CA1012: Abstract types should not have constructors (marked protected)
{
}
/// <summary>
/// Returns the informative content score. </summary>
public abstract float Score(BasicStats stats, float tfn);
/// <summary>
/// Returns an explanation for the score.
/// <para>Most basic models use the number of documents and the total term
/// frequency to compute Inf<sub>1</sub>. this method provides a generic
/// explanation for such models. Subclasses that use other statistics must
/// override this method.</para>
/// </summary>
public virtual Explanation Explain(BasicStats stats, float tfn)
{
Explanation result = new Explanation();
result.Description = this.GetType().Name + ", computed from: ";
result.Value = Score(stats, tfn);
result.AddDetail(new Explanation(tfn, "tfn"));
result.AddDetail(new Explanation(stats.NumberOfDocuments, "numberOfDocuments"));
result.AddDetail(new Explanation(stats.TotalTermFreq, "totalTermFreq"));
return result;
}
/// <summary>
/// Subclasses must override this method to return the code of the
/// basic model formula. Refer to the original paper for the list.
/// </summary>
public override abstract string ToString();
}
}