@@ -491,11 +491,11 @@ public override void ProcessRow()
491491 var correctProba = ! wasKnownLabel ? 0 : _scoresArr [ intLabel ] ;
492492
493493 // Find the rank of the *correct* label (in _scoresArr[]). If the correct (ground truth) labels gets rank 0,
494- // it means the model assigned it the highest probability (that's ideal). Rank 1 would mean our model
494+ // it means the model assigned it the highest probability (that's ideal). Rank 1 would mean our model
495495 // gives the real label the 2nd highest probabality, etc.
496496 // The rank will be from 0 to N. (Not N-1). Rank N is used for unrecognized values.
497497 //
498- // Tie breaking: What if we have probabilities that are equal to the correct prediction (eg, a:0.1, b:0.1,
498+ // Tie breaking: What if we have probabilities that are equal to the correct prediction (eg, a:0.1, b:0.1,
499499 // c:0.1, d:0.6, e:0.1 where c is the correct label).
500500 // This actually happens a lot with some models. We handle ties by assigning rank in order of first
501501 // appearance. In this example, we assign c the rank of 3, because d has a higher probability and a and b
@@ -512,9 +512,9 @@ public override void ProcessRow()
512512 assigned = i ;
513513 }
514514
515- UnweightedCounters . Update ( rankofCorrectLabel , assigned , logloss , intLabel , 1 ) ;
515+ UnweightedCounters . Update ( rankOfCorrectLabel , assigned , logloss , intLabel , 1 ) ;
516516 if ( WeightedCounters != null )
517- WeightedCounters . Update ( rankofCorrectLabel , assigned , logloss , intLabel , weight ) ;
517+ WeightedCounters . Update ( rankOfCorrectLabel , assigned , logloss , intLabel , weight ) ;
518518 }
519519
520520 protected override List < string > GetWarningsCore ( )
0 commit comments