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 org.apache.bigtop.datagenerators.samplers.markovmodels;
  
  import com.google.common.collect.ImmutableMap;
  import com.google.common.collect.ImmutableTable;
  
  public class MarkovModelBuilder<S>
  {
  	ImmutableTable.Builder<S, S, Double> transitionWeights;
  	ImmutableMap.Builder<S, Double> startWeights;
  
  	public MarkovModelBuilder()
  	{
  		transitionWeights = ImmutableTable.builder();
  		startWeights = ImmutableMap.builder();
  	}
  
  	public static <T> MarkovModelBuilder<T> create()
  	{
  		return new MarkovModelBuilder<T>();
  	}
  
  	public void addStartState(S state, double weight)
  	{
  		startWeights.put(state, weight);
  	}
  
  	public void addTransition(S state1, S state2, double weight)
  	{
  		transitionWeights.put(state1, state2, weight);
  	}
  
  	public MarkovModel<S> build()
  	{
  		return new MarkovModel<S>(transitionWeights.build().rowMap(), startWeights.build());
  	}
  
  
  }
  