Ahmed Fasih

They're saying we should migrate apps to v2 for several impenetrable-to-me reasons: https://zeit.co/docs/v2/platform/upgrade-to-2-0 but one nice one is "lower prices". I'll try to take a look at how to do...

PyCall hardcodes paths in ~/.julia so copying packages to another workstation with different username fails

2

The Julia manual [says](http://docs.julialang.org/en/stable/manual/packages/#offline-installation-of-packages) > For machines with no Internet connection, packages may be installed by copying the package root directory… from a machine with the same operating system and...

Hi, if I may, I’d like this issue to track support for `std::complex` in Cxx: per https://github.com/Keno/Cxx.jl/issues/290#issuecomment-308311399 ```julia julia> y = 0.0im 0.0 + 0.0im julia> res = Ref(y) Base.RefValue{Complex{Float64}}(0.0...

Difficulties with text selection on iOS due to CSS

2

With popular browsers on iOS (and possibly other mobile platforms?), the `tweet-link` CSS class that enables you to click anywhere in a `tweet-body` to go to that tweet's URL makes...

@kirianguiller sent the following surprising snippet: ```py hl = 1.0 tnow = 100.0 new = ebisu.updateRecall((3.0, 3.0, hl), 1, 1, tnow, q0=0) newQ0 = ebisu.updateRecall((3.0, 3.0, hl), 1, 1, tnow,...

Look at accuracy of Beta-posterior when rebalancing?

2

With version 1.0, we rebalance the model to roughly near the half-life so `a` and `b` aren't too different. But are there some `t'`s that yield Beta distributions that are...

In #26 I wrongly said that the algorithm is just too surprised by `successes=1` out of `total=10` long before the halflife. That's not true—the algorithm failing there is due to...

Better understand probability-based schedules to pick initial a=b

8

@mustafa0x sent this: https://svelte.dev/repl/23a76045aa884384b8de8b737d682a7f?version=3.15.0 I made a small enhancement: https://svelte.dev/repl/67711abbe3784fccb67dc6b3f614a6d6?version=3.15.0 Per my email: > For a=b=4, it takes 5 or 6 quizzes of all passes to get to 10x the...

Simpler expression for predictRecall when b is integer

1

Interesting factoid: ``` Beta[a+t, b] / Beta[a, b] = prod(map(lambda m: (a+m)/(a+t+m), range(b))) ``` for `b>=2` integer (and `a` and `t` arbitrary), at least for `b>=2` and `b

My standalone `logsumexp` has a bug: `sgn = 1 if s >= 0 else 0` should have `else -1`.