ml(ANN_MLP): ensure that train() call is always successful

alalek · alalek · commit 00e43a9022e2 · 2017-12-22T18:50:04.000Z
diff --git a/modules/ml/src/ann_mlp.cpp b/modules/ml/src/ann_mlp.cpp
@@ -948,7 +948,7 @@ class ANN_MLPImpl : public ANN_MLP_ANNEAL
         trained = true; // Enable call to CalcError
         int iter = simulatedAnnealingSolver(s, params.initialT, params.finalT, params.coolingRatio, params.itePerStep, NULL, params.rEnergy);
         trained =false;
-        return iter;
+        return iter + 1; // ensure that 'train()' call is always successful
     }
 
     int train_backprop( const Mat& inputs, const Mat& outputs, const Mat& _sw, TermCriteria termCrit )

Original file line number	Diff line number	Diff line change
`@@ -948,7 +948,7 @@ class ANN_MLPImpl : public ANN_MLP_ANNEAL`
`948`	`948`	`trained = true; // Enable call to CalcError`
`949`	`949`	`int iter = simulatedAnnealingSolver(s, params.initialT, params.finalT, params.coolingRatio, params.itePerStep, NULL, params.rEnergy);`
`950`	`950`	`trained =false;`
`951`		`- return iter;`
	`951`	`+ return iter + 1; // ensure that 'train()' call is always successful`
`952`	`952`	`}`
`953`	`953`
`954`	`954`	`int train_backprop( const Mat& inputs, const Mat& outputs, const Mat& _sw, TermCriteria termCrit )`