// Create a counter with 0 probability for unknown events (and with ""
// corresponding to the unknown event)
balls := counter.New(0.0)
	
// Add some observations
balls.Incr("blue")
balls.Incr("blue")
balls.Incr("red")
// Normalize into a discrete distribution
balls.Normalize()
// blue => 0.666666
balls.Get("blue")
// purple => 0.0
balls.Get("purple")
preference = counter.New(0.0)
preference.Set("red", 2.0)
preference.Set("blue", 1.0)
preference.Normalize()
expected_with_preference = counter.Multiply(balls, preference)
expected_with_preference.Normalize()
// blue => 0.5
expected_with_preference.Get("blue")
// red => 0.5
expected_with_preference.Get("red")
// You can also use log probabilities
balls.LogNormalize()
preferences.LogNormalize()
// And do in-place operations
balls.Add(preferences)
// Log-normalize expects counters with positive counts, so
// exponentiate-then-normalize
balls.Exp()
balls.LogNormalize()
// blue => -1 (== lg(0.5))
balls.Get("blue")

fBalls := frozencounter.Freeze(balls)
fPrefs := frozencounter.Freeze(preference)
fExpectedWithPreference := frozencounter.Multiply(fBalls, fPrefs)