Fixed min float value

reading_machine/src/Action.cpp

@@ -1061,7 +1061,7 @@ Action Action::writeScore(const std::string & colName, Config::Object object, in
     int lineIndex = config.getRelativeWordIndex(object, relativeIndex);
 
     float score = config.getChosenActionScore();
-    if (score != std::numeric_limits<float>::min())
+    if (-score != std::numeric_limits<float>::max())
       return addHypothesis(colName, lineIndex, fmt::format("{}", score)).apply(config, a);
     else
       return addHypothesis(colName, lineIndex, config.getConst(colName, lineIndex, 0)).apply(config, a);

trainer/src/MacaonTrain.cpp

@@ -167,7 +167,8 @@ int MacaonTrain::main()
   Trainer trainer(machine, batchSize);
   Decoder decoder(machine);
 
-  float bestDevScore = computeDevScore ? std::numeric_limits<float>::min() : std::numeric_limits<float>::max();
+  float bestDevScore = computeDevScore ? -std::numeric_limits<float>::max() : std::numeric_limits<float>::max();
+  fmt::print("best = {}\n", bestDevScore);
 
   auto trainInfos = machinePath.parent_path() / "train.info";
 

trainer/src/Trainer.cpp

@@ -82,7 +82,7 @@ void Trainer::extractExamples(SubConfig & config, bool debug, std::filesystem::p
 
     int nbClasses = machine.getTransitionSet(config.getState()).size();
 
-    float bestScore = std::numeric_limits<float>::min();
+    float bestScore = -std::numeric_limits<float>::max();
       
     if (dynamicOracle and util::choiceWithProbability(1.0) and config.getState() != "tokenizer" and config.getState() != "segmenter")
     {