private double getEvaluation(FastByIDMap <PreferenceArray> testPrefs, Recommender recommender)
{
this.reset();
List <Action> callables = new List <Action>();
AtomicInteger noEstimateCounter = new AtomicInteger();
using (IEnumerator <KeyValuePair <long, PreferenceArray> > enumerator = testPrefs.entrySet().GetEnumerator())
{
while (enumerator.MoveNext())
{
Action item = null;
KeyValuePair <long, PreferenceArray> entry = enumerator.Current;
if (item == null)
{
item = delegate
{
long userID = entry.Key;
PreferenceArray array = entry.Value;
foreach (Preference preference in array)
{
float f = float.NaN;
try
{
f = recommender.estimatePreference(userID, preference.getItemID());
}
catch (NoSuchUserException)
{
log.info("User exists in test data but not training data: {}", new object[] { userID });
}
catch (NoSuchItemException)
{
log.info("Item exists in test data but not training data: {}", new object[] { preference.getItemID() });
}
if (float.IsNaN(f))
{
noEstimateCounter.incrementAndGet();
}
else
{
f = this.capEstimatedPreference(f);
this.processOneEstimate(f, preference);
}
}
};
}
callables.Add(item);
}
}
log.info("Beginning evaluation of {} users", new object[] { callables.Count });
RunningAverageAndStdDev timing = new FullRunningAverageAndStdDev();
execute(callables, noEstimateCounter, timing);
return(this.computeFinalEvaluation());
}
