Knapsack: minor correction to docs; update docstrings

miplearn/problems/knapsack.py

@@ -130,7 +130,6 @@ class MultiKnapsackGenerator:
         from w[i,j], as long as u and K are not constants, the generated instances will still not
         be completely identical.
 
-
         If a probability distribution w_jitter is provided, then item weights will be set to
         w[i,j] + gamma[i,j] where gamma[i,j] is sampled from w_jitter. When combined with 
         fix_w=True, this argument may be used to generate instances where the weight of each item
@@ -138,6 +137,9 @@ class MultiKnapsackGenerator:
         items and the capacities of the knapsacks will be calculated as above, but using these
         perturbed weights instead.
         
+        By default, all generated prices, weights and capacities are rounded to the nearest integer
+        number. If `round=False` is provided, this rounding will be disabled.
+        
         Parameters
         ----------
         n: rv_discrete