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maxmouchet avatar maxmouchet commented on June 1, 2024 1

Hi,

You're right. I've added a few benchmarks (in benchmark/):

  • rand
  • log_likelihoods
  • messages_forwards
  • messages_backwards
  • viterbi

Note that the tables above were generated manually and I think I've mixed some time units. The code/notebooks in benchmark should be more correct.

lls is my shortcut for log-likelihoods. Since it is required for most of the algorithms, I separate the time it takes to compute the likelihood of each sample, vs. the time it takes to actually perform the core computations.

from hmmbase.jl.

maxmouchet avatar maxmouchet commented on June 1, 2024

Viterbi should be much faster in 0b993f3.

/ hmmlearn pyhsmm HMMBase
Sample 10k 981 189 1.818
lls 1.11 3.562
forward (w/o lls computation) 5.08 1.510
backward (w/o lls computation) 5.02 1.402
Viterbi (w/o lls computation) 0.319 1.099
Viterbi 1.99 78.2 5.904

from hmmbase.jl.

kmsquire avatar kmsquire commented on June 1, 2024

Hello, the benchmark code in the repository only seems to show the forward and backward passes.
Would you be able to share or check-in the code you're using to generate the tables above?

Also, I'm wondering what lls stands for...?

from hmmbase.jl.

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