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Hi, Further Speedups:
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Hi Hugo. Many thanks for the tips. The first part of Luis's code runs fine. I get error messages for the second part concerning 'list' and 'floats'. What do I need to change in the code?TypeError Traceback (most recent call last) File ~\AppData\Local\Programs\Python\Python310\lib\site-packages\deerlab\model.py:188, in Parameter.freeze(self, value) TypeError: '>' not supported between instances of 'list' and 'float' |
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Back in 2022, Luis had suggested finding the optimal compactness value first before implementing bootstrap to speed things up.
Is this still relevant for the latest DeerLab version (v1.1.4)?
When I tried it, I get errors. Aside from setting bootcores=-1 to use multiple cores, are there other tricks/parameter settings to speed up the fitting beside reducing the bootstrap number?
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