/// <summary>
/// 次の状態を記録する
/// </summary>
/// <param name="state">次の状態</param>
/// <param name="appended">次の状態に紐付く添付オブジェクト</param>
/// <remarks></remarks>
private void Memorize(string state, object appended = null)
{
if (!_pastToExpected.ContainsKey(_currentState))
{
_pastToExpected.Add(_currentState, new ExpectedStates());
}
_pastToExpected[_currentState].AddExpectedState(state, appended);
_currentState = _currentState.GetNextPastStates(state);
}
private ExpectedState[] GetExpectedStateRank(PastStates currentState, double provably, int depth)
{
if (depth <= 0)
{
return(new ExpectedState[] { });
}
if (!_pastToExpected.ContainsKey(currentState))
{
return(new ExpectedState[] { });
}
ExpectedState[] nextExpectedStates = _pastToExpected[currentState].GetExpectedStateRank(provably, _predictWidth);
foreach (ExpectedState nextExpectedState in nextExpectedStates)
{
_bestRank.AddRange(this.GetExpectedStateRank(currentState.GetNextPastStates(nextExpectedState.State), nextExpectedState.Provably, depth - 1));
}
return(nextExpectedStates);
}
/// <summary>
/// コンストラクタ
/// </summary>
/// <param name="stateNumber">保持する状態数</param>
/// <param name="predictDepth">予測範囲とする遷移回数</param>
/// <remarks></remarks>
public MarkovPredictor(int stateNumber, int predictDepth)
{
_stateNumber = stateNumber;
_predictDepth = predictDepth;
_currentState = new PastStates(_stateNumber);
}