public static float run(User user)
{
var writeRight = new TimeAwareWriteRight(timePartitions);
var evaluation = new ExperimentEvaluation();
/* Train the engine */
User trainSet = user.GetTopKTweetsTrainSet(trainSetSize);
while (trainSet.HasNext())
{
var ch = trainSet.ConsumeNext();
writeRight.SetTime(trainSet.GetTime());
writeRight.CharacterTyped(ch);
}
writeRight.CharacterTyped(' ');
User testSet = user.GetTestSet();
var totalChars = 0;
var guessedChars = 0;
writeRight.InTestMode();
while (testSet.HasNext())
{
var ch = testSet.ConsumeNext();
writeRight.SetTime(testSet.GetTime());
writeRight.CharacterTyped(ch);
var next = Char.ToLower(testSet.PeekNext());
writeRight.SetTime(testSet.GetTime());
var predictions = writeRight.GetTopKPredictions();
if (writeRight.IsValidCharacter(next) == false ||
writeRight.IsWordSeparator(next))
{
continue;
}
if (predictions == null || predictions.ContainsKey(next) == false)
{
writeRight.BadPrediction();
totalChars++;
evaluation.Miss();
}
else if (writeRight.IsWordSeparator(next) == false)
{
guessedChars++;
totalChars++;
evaluation.Hit(predictions.Count);
}
}
return(evaluation.GetPrecission());
}
public static float run(int k, int timePartitions)
{
var dataSet = DataSet.GetInstance();
float hitRatio = 0.0f;
float precission = 0.0f;
foreach (User user in dataSet.Users)
{
var writeRight = new TimeAwareWriteRight(timePartitions);
var evaluation = new ExperimentEvaluation();
/* Train the engine */
User trainSet = user.GetTopKTweetsTrainSet(k);
while (trainSet.HasNext())
{
var ch = trainSet.ConsumeNext();
writeRight.SetTime(trainSet.GetTime());
writeRight.CharacterTyped(ch);
}
writeRight.CharacterTyped(' ');
User testSet = user.GetTestSet();
var totalChars = 0;
var guessedChars = 0;
writeRight.InTestMode();
while (testSet.HasNext())
{
var ch = testSet.ConsumeNext();
writeRight.SetTime(testSet.GetTime());
writeRight.CharacterTyped(ch);
var next = Char.ToLower(testSet.PeekNext());
writeRight.SetTime(testSet.GetTime());
var predictions = writeRight.GetTopKPredictions();
if (writeRight.IsValidCharacter(next) == false ||
writeRight.IsWordSeparator(next))
{
continue;
}
if (predictions == null || predictions.ContainsKey(next) == false)
{
writeRight.BadPrediction();
totalChars++;
evaluation.Miss();
}
else if (writeRight.IsWordSeparator(next) == false)
{
guessedChars++;
totalChars++;
evaluation.Hit(predictions.Count);
}
}
hitRatio += (float)guessedChars / (float)totalChars;
precission += evaluation.GetPrecission();
}
/*
* this.hitRatioWriter.WriteLine (hitRatio / dataSet.Users.Count);
* this.evalWriter.WriteLine (evaluationScore / dataSet.Users.Count);
*
* this.hitRatioWriter.Flush ();
* this.evalWriter.Flush ();
*/
return((float)precission / dataSet.Users.Count);
}
public static float run(int k)
{
var dataSet = DataSet.GetInstance ();
float hitRatio = 0.0f;
float precission = 0.0f;
memory = 0;
foreach (User user in dataSet.Users)
{
var writeRight = new WriteRight();
var evaluation = new ExperimentEvaluation ();
writeRight.LoadDB ("");
/* Train the engine */
User trainSet = user.GetTopKTweetsTrainSet (k);
while (trainSet.HasNext ())
{
var ch = trainSet.ConsumeNext ();
writeRight.CharacterTyped (ch);
}
writeRight.CharacterTyped (' ');
User testSet = user.GetTestSet ();
var totalChars = 0;
var guessedChars = 0;
writeRight.InTestMode ();
while (testSet.HasNext ())
{
var ch = testSet.ConsumeNext ();
writeRight.CharacterTyped (ch);
var next = Char.ToLower (testSet.PeekNext ());
var predictions = writeRight.GetTopKPredictions ();
if (writeRight.IsValidCharacter (next) == false ||
writeRight.IsWordSeparator (next))
{
continue;
}
if (predictions == null || predictions.ContainsKey (next) == false)
{
writeRight.BadPrediction ();
totalChars++;
evaluation.Miss ();
}
else if (writeRight.IsWordSeparator (next) == false)
{
guessedChars++;
totalChars++;
evaluation.Hit (predictions.Count);
}
}
hitRatio += (float)guessedChars / (float)totalChars;
precission += evaluation.GetPrecission ();
memory += writeRight.GetKnowledgeSize ();
}
/*
this.hitRatioWriter.WriteLine (hitRatio / dataSet.Users.Count);
this.evalWriter.WriteLine (evaluationScore / dataSet.Users.Count);
this.hitRatioWriter.Flush ();
this.evalWriter.Flush ();
*/
memory = memory / dataSet.Users.Count;
return (float) precission / dataSet.Users.Count;
}