/**
* 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 com.cloudera.knittingboar.records;
import java.util.List;
import java.util.Map;
import java.util.Set;
//import org.apache.mahout.classifier.sgd.RecordFactory;
import org.apache.mahout.math.Vector;
/**
* Base interface for Knitting Boar's vectorization system
*
* @author jpatterson
*
*/
public interface RecordFactory {
public static String TWENTYNEWSGROUPS_RECORDFACTORY = "com.cloudera.knittingboar.records.TwentyNewsgroupsRecordFactory";
public static String RCV1_RECORDFACTORY = "com.cloudera.knittingboar.records.RCV1RecordFactory";
public static String CSV_RECORDFACTORY = "com.cloudera.knittingboar.records.CSVRecordFactory";
public int processLine(String line, Vector featureVector) throws Exception;
public String GetClassnameByID(int id);
// Map<String, Set<Integer>> getTraceDictionary();
// RecordFactory includeBiasTerm(boolean useBias);
public List<String> getTargetCategories();
// void firstLine(String line);
}