Java tutorial
/** * 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()); } }