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Hello,
I tried the 'Optimization Tutorial' (https://amoeba2.readthedocs.io/en/latest/notebooks/optimization.html) and when I copy and paste the code exactly to optimise the fit of the simulated dat…
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I have two questions: how was the data preprocessing handled? What is the optimisation algorithm used for model training(Or what the optimiser chose
)?
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As part of #1 :
Decide on a strategy for distributed model simulation and parameter optimisation.
What information must be communicated back from workers for different back-end optimisers?
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We need to write unit tests for all the major features.
Starting point is the simulation model, but then extend to optimisations too.
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optimise the model choice.
if difference in BIC/AIC is less than some factor choose the simpler model (i.e one with fewer components)
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I have had problems with getting new version to work. I have installed a fresh version of REINVENT into a new folder, and my previous REINVENT 4 runs cannot be started with the old config files. One o…
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**Motivation**
As well as satisfaction problems (find me the x that satisfies these constraints), Minion and other solvers support optimisation problems (find me the x that fulfills the most/least …
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None of these are necessary, I'm just listing them to keep track of all the possible small-ish changes that might improve performance or reduce the need for resources:
Normalizations:
- [ ] [Bat…
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I'm curious; I've trained a 20M MAMBA model for molecular generation, and it seems to fair quite badly when trained on small datasets. I added a dropout layer since it seems to overfit otherwise, but …
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**Is your feature request related to a problem? Please describe.**
Runtimes by model are great for seeing individually inefficient models but another thing that is often needed to optimise the lineag…