001/* 002 * Copyright (c) 2015-2020, Oracle and/or its affiliates. All rights reserved. 003 * 004 * Licensed under the Apache License, Version 2.0 (the "License"); 005 * you may not use this file except in compliance with the License. 006 * You may obtain a copy of the License at 007 * 008 * http://www.apache.org/licenses/LICENSE-2.0 009 * 010 * Unless required by applicable law or agreed to in writing, software 011 * distributed under the License is distributed on an "AS IS" BASIS, 012 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express implied. 013 * See the License for the specific language governing permissions and 014 * limitations under the License. 015 */ 016 017package org.tribuo.sequence; 018 019import org.tribuo.Output; 020import org.tribuo.Prediction; 021import org.tribuo.provenance.DataProvenance; 022 023import java.util.List; 024 025/** 026 * An evaluation factory which produces immutable {@link SequenceEvaluation}s of a given {@link SequenceDataset} using the given {@link SequenceModel}. 027 * @param <T> The output type. 028 * @param <E> The evaluation type. 029 */ 030public interface SequenceEvaluator<T extends Output<T>, E extends SequenceEvaluation<T>> { 031 032 /** 033 * Evaluates the dataset using the supplied model, returning an immutable evaluation. 034 * @param model The model to use. 035 * @param dataset The dataset to evaluate. 036 * @return An evaluation. 037 */ 038 public E evaluate(SequenceModel<T> model, SequenceDataset<T> dataset); 039 040 /** 041 * Evaluates the datasource using the supplied model, returning an immutable evaluation. 042 * @param model The model to use. 043 * @param datasource The datasource to evaluate. 044 * @return An evaluation. 045 */ 046 public E evaluate(SequenceModel<T> model, SequenceDataSource<T> datasource); 047 048 /** 049 * Evaluates the supplied model and predictions by aggregating the appropriate statistics. 050 * <p> 051 * Warning, this method cannot validate that the predictions were returned by the model in question. 052 * @param model The model to use. 053 * @param predictions The predictions to use. 054 * @param dataProvenance The provenance of the test data. 055 * @return An evaluation of the predictions. 056 */ 057 public E evaluate(SequenceModel<T> model, List<List<Prediction<T>>> predictions, DataProvenance dataProvenance); 058 059}