Use base 2 logarithmic scale for targets

mining_in_logarithmic_space.py

@@ -30,6 +30,7 @@ def Dissolve(m, k, C, previous_score, previous_ℓ):
                 else:
                     CStar[CIndex].level_min -= 1
                 break
+        # TODO: add a switch for my interpretation
         for μ in range(ℓ + 1):
             D[μ] = uparrow(CStar, μ)
     else:

plot_statistics.py

@@ -42,7 +42,7 @@ for curvesIndex, (axis, color, label, yValues) in enumerate(zip(axes, axesColors
     alpha = 1 if curvesIndex != 3 else 0.5
     curves += axis.plot(yValues, label = label, color = color, dashes = dashes, alpha = alpha)
 
-targetsAxis.set_yscale('log')
+targetsAxis.set_yscale('log', base=2)
 
 axes[2].spines.right.set_position(('axes', 1.1))
 axes[2].set_yscale('log')