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Hidden Markov Model (HMM) library for time-inhomogeneous Markov processes
/**
* Copyright (C) 2015-2016, BMW Car IT GmbH and BMW AG
* Author: Stefan Holder ([email protected])
*
* 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 com.bmw.hmm;
import java.util.Objects;
/**
* Represents the transition between two consecutive candidates.
*
* @param the state type
*/
public class Transition {
public final S fromCandidate;
public final S toCandidate;
public Transition(S fromCandidate, S toCandidate) {
this.fromCandidate = fromCandidate;
this.toCandidate = toCandidate;
}
@Override
public int hashCode() {
return Objects.hash(fromCandidate, toCandidate);
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (getClass() != obj.getClass())
return false;
@SuppressWarnings("unchecked")
Transition other = (Transition) obj;
return Objects.equals(fromCandidate, other.fromCandidate) && Objects.equals(toCandidate,
other.toCandidate);
}
@Override
public String toString() {
return "Transition [fromCandidate=" + fromCandidate + ", toCandidate="
+ toCandidate + "]";
}
}