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public abstract applyCutoff ( int>.System.Collections.Generic.Dictionary |
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| scores | int>.System.Collections.Generic.Dictionary | |
| known_good | HashSet |
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| Résultat | int>>.List | |
// this function returns an address but also updates
// the filtered_high_scores list
public static AST.Address CheckCell_Step(UserResults o,
double significance,
CutoffKind ck,
int nboots,
DAG dag,
Excel.Application app,
bool weighted,
bool all_outputs,
bool run_bootstrap,
HashSet <AST.Address> known_good,
ref List <KeyValuePair <AST.Address, int> > filtered_high_scores,
long max_duration_in_ms,
Stopwatch sw,
ProgBar pb)
{
// Get bootstraps
// The bootstrap should only re-run if there is a correction made,
// not when something is marked as OK (isn't one of the introduced errors)
// The list of suspected cells doesn't change when we mark something as OK,
// we just move on to the next thing in the list
if (run_bootstrap)
{
TreeScore scores = Analysis.DataDebug(nboots, dag, app, weighted, all_outputs, max_duration_in_ms, sw, significance, pb);
// apply a threshold to the scores
filtered_high_scores = ck.applyCutoff(scores, known_good);
}
else //if no corrections were made (a cell was marked as OK, not corrected)
{
//re-filter out cells marked as OK
filtered_high_scores = filtered_high_scores.Where(kvp => !known_good.Contains(kvp.Key)).ToList();
}
if (filtered_high_scores.Count() != 0)
{
// get AST.Address corresponding to most unusual score
return(filtered_high_scores[0].Key);
}
else
{
return(null);
}
}
// this function returns an address but also updates
// the filtered_high_scores list
public static AST.Address CheckCell_Step(UserResults o,
double significance,
CutoffKind ck,
int nboots,
DAG dag,
Excel.Application app,
bool weighted,
bool all_outputs,
bool run_bootstrap,
HashSet<AST.Address> known_good,
ref List<KeyValuePair<AST.Address, int>> filtered_high_scores,
long max_duration_in_ms,
Stopwatch sw,
ProgBar pb)
{
// Get bootstraps
// The bootstrap should only re-run if there is a correction made,
// not when something is marked as OK (isn't one of the introduced errors)
// The list of suspected cells doesn't change when we mark something as OK,
// we just move on to the next thing in the list
if (run_bootstrap)
{
TreeScore scores = Analysis.DataDebug(nboots, dag, app, weighted, all_outputs, max_duration_in_ms, sw, significance, pb);
// apply a threshold to the scores
filtered_high_scores = ck.applyCutoff(scores, known_good);
}
else //if no corrections were made (a cell was marked as OK, not corrected)
{
//re-filter out cells marked as OK
filtered_high_scores = filtered_high_scores.Where(kvp => !known_good.Contains(kvp.Key)).ToList();
}
if (filtered_high_scores.Count() != 0)
{
// get AST.Address corresponding to most unusual score
return filtered_high_scores[0].Key;
}
else
{
return null;
}
}
