| /* |
| * 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. |
| */ |
| package org.apache.solr.update.processor; |
| |
| import org.apache.lucene.search.Query; |
| |
| public class ClassificationUpdateProcessorParams { |
| |
| private String[] inputFieldNames; // the array of fields to be sent to the Classifier |
| |
| private Query trainingFilterQuery; // a filter query to reduce the training set to a subset |
| |
| private String trainingClassField; // the field containing the class for the Document |
| |
| private String predictedClassField; // the field that will contain the predicted class |
| |
| private int maxPredictedClasses; // the max number of classes to assign |
| |
| private ClassificationUpdateProcessorFactory.Algorithm algorithm; // the Classification Algorithm to use - currently 'knn' or 'bayes' |
| |
| private int minTf; // knn specific - the minimum Term Frequency for considering a term |
| |
| private int minDf; // knn specific - the minimum Document Frequency for considering a term |
| |
| private int k; // knn specific - the window of top results to evaluate, when assigning the class |
| |
| public String[] getInputFieldNames() { |
| return inputFieldNames; |
| } |
| |
| public void setInputFieldNames(String[] inputFieldNames) { |
| this.inputFieldNames = inputFieldNames; |
| } |
| |
| public Query getTrainingFilterQuery() { |
| return trainingFilterQuery; |
| } |
| |
| public void setTrainingFilterQuery(Query trainingFilterQuery) { |
| this.trainingFilterQuery = trainingFilterQuery; |
| } |
| |
| public String getTrainingClassField() { |
| return trainingClassField; |
| } |
| |
| public void setTrainingClassField(String trainingClassField) { |
| this.trainingClassField = trainingClassField; |
| } |
| |
| public String getPredictedClassField() { |
| return predictedClassField; |
| } |
| |
| public void setPredictedClassField(String predictedClassField) { |
| this.predictedClassField = predictedClassField; |
| } |
| |
| public int getMaxPredictedClasses() { |
| return maxPredictedClasses; |
| } |
| |
| public void setMaxPredictedClasses(int maxPredictedClasses) { |
| this.maxPredictedClasses = maxPredictedClasses; |
| } |
| |
| public ClassificationUpdateProcessorFactory.Algorithm getAlgorithm() { |
| return algorithm; |
| } |
| |
| public void setAlgorithm(ClassificationUpdateProcessorFactory.Algorithm algorithm) { |
| this.algorithm = algorithm; |
| } |
| |
| public int getMinTf() { |
| return minTf; |
| } |
| |
| public void setMinTf(int minTf) { |
| this.minTf = minTf; |
| } |
| |
| public int getMinDf() { |
| return minDf; |
| } |
| |
| public void setMinDf(int minDf) { |
| this.minDf = minDf; |
| } |
| |
| public int getK() { |
| return k; |
| } |
| |
| public void setK(int k) { |
| this.k = k; |
| } |
| } |