public void LogLearn(string session, string playSession, MiniGameCode miniGameCode, List <LearnResultParameters> resultsList)
{
var learnRules = GetLearnRules(miniGameCode);
foreach (var result in resultsList)
{
float score = 0f;
float successRatio = result.nCorrect * 1f / (result.nCorrect + result.nWrong);
switch (learnRules.voteLogic)
{
case MiniGameLearnRules.VoteLogic.Threshold:
// Uses a binary threshold
float threshold = learnRules.logicParameter;
score = successRatio > threshold ? 1f : -1f;
break;
case MiniGameLearnRules.VoteLogic.SuccessRatio:
// Uses directly the success ratio to drive the vote
score = Mathf.InverseLerp(-1f, 1f, successRatio);
break;
}
score *= learnRules.minigameImportanceWeight;
score += learnRules.minigameVoteSkewOffset;
var data = new LogLearnData(session, playSession, miniGameCode, result.table, result.elementId, score);
db.Insert(data);
// We also update the score for that data element
UpdateScoreDataWithMovingAverage(result.table, result.elementId, score, 5);
}
}
public void TestInsertLogLearnData()
{
var newData = new LogLearnData();
newData.Session = UnityEngine.Random.Range(0, 10).ToString();
newData.Timestamp = GenericUtilities.GetTimestampForNow();
newData.PlaySession = "1.1.1";
newData.MiniGame = MiniGameCode.Assessment_LetterShape;
bool useLetter = RND.value > 0.5f;
newData.TableName = useLetter ? "LetterData" : "WordData";
newData.ElementId = useLetter
? RandomHelper.GetRandom(dbManager.GetAllLetterData()).GetId()
: RandomHelper.GetRandom(dbManager.GetAllWordData()).GetId();
newData.Score = RND.Range(-1f, 1f);
this.dbManager.Insert(newData);
PrintOutput("Inserted new LogLearnData: " + newData.ToString());
}
