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dmetivie committed Mar 22, 2023
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Expand Up @@ -22,9 +22,9 @@ You can find the code in [here](https://github.com/dmetivie/ExpectationMaximizat

![timing_K_2_rudimentary.svg](../../benchmarks/timing_K_2_rudimentary_wo_memory_leak.svg)

[^1]: I would have loved that `@btime` with `RCall` and `PyCall` would just [work](https://discourse.julialang.org/t/benchmarking-julia-vs-python-vs-r-with-pycall-and-rcall/37308).
[^1]: I would have loved that `@btime` with `RCall` and `PyCall` would just [work](https://discourse.julialang.org/t/benchmarking-julia-vs-python-vs-r-with-pycall-and-rcall/37308).
I did compare with `R` `microbenchmark` and Python `timeit` (not a pleasing experience).

[^2]: This is suspect since it triggers a warning regarding Kmean which I do not want to use. I asked a question [here](https://github.com/scikit-learn/scikit-learn/discussions/25916).
[^2]: This is suspect since it triggers a warning regarding K-means which I do not want to use. I asked a question [here](https://github.com/scikit-learn/scikit-learn/discussions/25916).

[^3]: It overflows very quickly for $n>500$ or so. I think it is because of naive impementation of [`logsumexp`](https://github.com/sseemayer/mixem/blob/2ffd990b22a12d48313340b427feae73bcf6062d/mixem/em.py#L5).
[^3]: It overflows very quickly for $n>500$ or so. I think it is because of naive implementation of [`logsumexp`](https://github.com/sseemayer/mixem/blob/2ffd990b22a12d48313340b427feae73bcf6062d/mixem/em.py#L5).

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