org.apache.bigtop.datagenerators.samplers.markovmodels.MarkovModelBuilder.java Source code

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/**
 * 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());
    }

}