Fixed label and rand

src/app.py

@@ -100,7 +100,7 @@ def iris_no_target() -> tuple[Dataset, MLAlgorithm, Any]:
 
 if __name__ == "__main__":
     np.set_printoptions(linewidth=np.inf, formatter={'float': '{:>10.5f}'.format})
-    rand = np.random.randint(0, 4294967295)
+    rand = np.random.randint(0, (1 << 31) - 1)
     #rand = 2205910060  # LiR for power_plant
     #rand = 347617386   # LoR for electrical_grid
     #rand = 834535453   # LoR for heart

src/learning/ml.py

@@ -72,7 +72,7 @@ class MLAlgorithm(ABC):
 
     def plot(self, skip:int=1000) -> None:
         skip = skip if len(self._learn_loss) > skip else 0
-        plot = Plot("Loss", "Time", "Mean Loss")
+        plot = Plot("Loss", "Epochs", "Mean Loss")
         plot.line("training", "blue", data=self._learn_loss[skip:])
         plot.line("validation", "red", data=self._valid_loss[skip:])
         plot.wait()