content: /*
   *
   *
   *    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 eu.amidst.core.conceptdrift;
  
  
  
  import eu.amidst.core.conceptdrift.utils.Fading;
  import eu.amidst.core.learning.parametric.bayesian.SVB;
  
  import java.util.List;
  
  /**
   *
   * <p> For an example of use follow this link </p>
   * <p> <a href="http://amidst.github.io/toolbox/CodeExamples.html#svbfadingexample"> http://amidst.github.io/toolbox/CodeExamples.html#svbfadingexample </a>  </p>
   */
  public class SVBFading extends SVB implements FadingLearner{
  
      public SVBFading(){
          super();
          this.setTransitionMethod(new Fading(0.999));
      }
  
      public double getFadingFactor() {
          return ((Fading)this.getTransitionMethod()).getFadingFactor();
      }
  
      public void setFadingFactor(double fadingFactor) {
          ((Fading)this.getTransitionMethod()).setFadingFactor(fadingFactor);
      }
  }
  