6273adbe47
During "test_real_data", then only successes with reduced fees were 92 on "mu=10", and only
1 on "mu=30": the rest went to mu=100 and failed.
I tried numerous approaches, and in the end, opted for the simplest:
The typical range of probability costs looks likes:
min = 0, max = 924196240, mean = 10509.4, stddev = 1.9e+06
The typical range of linear fee costs looks like:
min = 0, max = 101000000, mean = 81894.6, stddev = 2.6e+06
This implies a k factor of 8 makes the two comparable.
This makes the two numbers comparable, and thus makes "mu" much more
effective. Here are the number of different mu values we succeeded at:
87 mu=0
90 mu=10
42 mu=20
24 mu=30
17 mu=40
19 mu=50
19 mu=60
11 mu=70
95 mu=80
19 mu=90
Signed-off-by: Rusty Russell <rusty@rustcorp.com.au>
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