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In the Symbolic Regression generator we have:
`if rnd.random() < len(term_set)/(len(term_set)+len(func_set)):`
This uses a continuous variable to make what is really a **weighted categorical*…
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Hi Janek, when I used the joint inference, I need to set different parameters to be shared by different populations. However, I can't find the guidence about all the alternative parameters. I can only…
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These consist of the following:
- [ ] `mutate`
- [ ] `set_mutation`
- [ ] `get_sequence`
- [ ] `set_sequence`
- [ ] `set_agent`
- [ ] `set_date`
- [ ] `get_date`
- [ ] `get_id`
- [ …
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should combine (poisson distribution) and (per-site probability)
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The test is built to assume vnode distribution of rows. It creates a two-node cluster, loads data into each node, and before testing that read repair works, verifies that each node has the right data.…
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Within every position we can cache the number of missing symbols. This could speed up large mutation distribution calculations
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Hi Dion,
wollte mal grad probieren, was passiert, wenn die mutational increments aus der uniform distribution gezogen werden. Hab dazu eine Zeile in der mutation Funktion geändert. Leider hab ich's…
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In `mutateNormal`, the `mutation_range` is handled strangely; the resulting formula is `originalValue-0.5 + random() * mutation_range` (clamping omitted for clarity). The result of this is that when…
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From Slack:
> I was worried that the new ARG construction procedure was creating larger polytomies than before (which could explain why we are tracing recombinants back to MRCAs at only 2 timepoint…