code: /*
   * Copyright 2016 recommenders.net.
   *
   * Licensed 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 net.recommenders.rival.core;
  
  import net.recommenders.rival.core.ext.MahoutDataModel;
  import net.recommenders.rival.core.ext.RankSysDataModel;
  
  /**
   *
   * @author <a href="http://github.com/abellogin">Alejandro</a>
   */
  public class DataModelFactory {
  
      public static <U, I> DataModelIF<U, I> getDefaultModel() {
          return getSimpleModel();
      }
  
      public static <U, I> TemporalDataModelIF<U, I> getDefaultTemporalModel() {
          return getSimpleTemporalModel();
      }
  
      public static <U, I> DataModelIF<U, I> getSimpleModel() {
          return new DataModel<>();
      }
  
      public static <U, I> TemporalDataModelIF<U, I> getSimpleTemporalModel() {
          return new TemporalDataModel<>();
      }
  
      public static TemporalDataModelIF<Long, Long> getMahoutTemporalModel() {
          return new MahoutDataModel();
      }
  
      public static <U, I> DataModelIF<U, I> getRankSysModel() {
          return new RankSysDataModel<>();
      }
  }
  