/// <summary>
/// DeepBeliefNetworkを取得します。
/// </summary>
/// <param name="version">AIプレイヤのバージョン</param>
/// <returns>DeepBeliefNetwork</returns>
public DeepBeliefNetwork GetDeepBeliefNetwork(AiPlayer.Version version)
{
if (!this.DeepBeliefNetworks.ContainsKey(version))
{
this.DeepBeliefNetworks[version] = Serializer.Load <DeepBeliefNetwork>(string.Format(LearningConfig.LearnerSavePath + @"/{0}_{1}.bin", DeepBeliefNetworkFileName, version.ToString().ToLower()));
}
return(this.DeepBeliefNetworks[version]);
}
/// <summary>
/// 指定したバージョンのベクトルを取得します。
/// </summary>
/// <param name="version">ベクトルバージョン</param>
/// <param name="context">フィールド状態</param>
/// <returns>ベクトル</returns>
public SparseVector <double> GetVector(AiPlayer.Version version, FieldContext context)
{
if (!this.VectorGens.ContainsKey(version))
{
throw new ArgumentException("ベクトル種別が不正です");
}
var vector = this.GetVector(this.VectorGens[version], context);
return(vector);
}
/// <summary>
/// MultipleLinearRegression。
/// </summary>
/// <param name="learner">MultipleLinearRegression</param>
/// <param name="version">AIプレイヤのバージョン</param>
public void SaveMultipleLinearRegression(MultipleLinearRegression learner, AiPlayer.Version version)
{
var filePath = string.Format(LearningConfig.LearnerSavePath + @"/{0}_{1}_{2}.csv", MultipleLinearRegressionFileName, DateTime.Now.ToString("yyyyMMddhhmmss"), version.ToString().ToLower());
var sb = new StringBuilder();
foreach (var w in learner.Weights)
{
sb.Append($"{w},");
}
sb.Append(learner.Intercept.ToString());
FileHelper.Write(sb.ToString(), filePath);
}
/// <summary>
/// MultipleLinearRegressionを取得します。
/// </summary>
/// <param name="version">AIプレイヤのバージョン</param>
/// <returns>MultipleLinearRegression</returns>
public MultipleLinearRegression GetMultipleLinearRegression(AiPlayer.Version version)
{
if (!this.MultipleLinearRegressions.ContainsKey(version))
{
var csv = Resources.Load <TextAsset>($"Csvs/Learners/{MultipleLinearRegressionFileName}_{version.ToString().ToLower()}").ToString();
var weightsAndIntercept = csv.Split(',');
var weightsLength = weightsAndIntercept.Count() - 1;
var intercept = weightsAndIntercept.Last();
var weights = weightsAndIntercept.Take(weightsLength).Select(w => double.Parse(w)).ToArray();
this.MultipleLinearRegressions[version] = new MultipleLinearRegression();
this.MultipleLinearRegressions[version].NumberOfInputs = weightsLength;
this.MultipleLinearRegressions[version].Intercept = double.Parse(intercept);
this.MultipleLinearRegressions[version].Weights = weights;
}
return(this.MultipleLinearRegressions[version]);
}
/// <summary>
/// 指定した種別の評価値を取得します。
/// </summary>
/// <param name="version">バージョン</param>
/// <param name="context">フィールド状態</param>
/// <returns>評価値</returns>
public double GetEval(AiPlayer.Version version, FieldContext context)
{
double ev = 0.0d;
switch (version)
{
case AiPlayer.Version.V1_0:
case AiPlayer.Version.V2_0:
ev = this.LinearRegressionEvaluators[version].Evaluate(context);
ev += this.AliveEvaluators[version].Sum(e => e.Evaluate(context));
ev += this.RandomEvaluator.Evaluate(this.RandomParams[version]);
break;
default:
throw new ArgumentException("バージョンが不正です");
}
return(ev);
}
/// <summary>
/// DeepBeliefNetworkを保存します。
/// </summary>
/// <param name="network">DeepBeliefNetwork</param>
public void SaveDeepBeliefNetwork(DeepBeliefNetwork network, AiPlayer.Version version)
{
var filePath = string.Format(LearningConfig.LearnerSavePath + @"/{0}_{1}_{2}.bin", DeepBeliefNetworkFileName, DateTime.Now.ToString("yyyyMMddhhmmss"), version.ToString().ToLower());
network.Save(filePath);
}
/// <summary>
/// 依存する情報を注入します。
/// </summary>
/// <param name="version">AIプレイヤのバージョン</param>
public void Inject(AiPlayer.Version version)
{
this.Version = version;
this.Regression = DiProvider.GetContainer().GetInstance <LearnerManager>().GetMultipleLinearRegression(this.Version);
this.HasInjected = true;
}
