Integrator assumes uniform distribution, but over different parameters.
Weight and likelihood are used interchangeably here anyway.
- Each trial has an offered load, a duration and a loss count.
- Fitting function is used to compute the average loss per second.
- Poisson distribution (with average loss per trial) is used
+ Each trial has an intended load, a sent count and a loss count
+ (probably counting unsent packets as loss, as they signal
+ the load is too high for the traffic generator).
+ The fitting function is used to compute the average loss rate.
+ Geometric distribution (with average loss per trial) is used
to get likelihood of one trial result, the overal likelihood
is a product of all trial likelihoods.
As likelihoods can be extremely small, logarithms are tracked instead.
+ The current implementation does not use direct loss rate
+ from the fitting function, as the input and output units may not match
+ (e.g. intended load in TCP transactions, loss in packets).
+ Instead, the expected average loss is scaled according to the number
+ of packets actually sent.
+
TODO: Copy ReceiveRateMeasurement from MLRsearch.
:param trace: A multiprocessing-friendly logging function (closure).