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## Proposal to leave missing values as missing (at least for now)
I'm working on code for XGboost and Catboost models, and am deciding how to handle missingness. I am guessing Catboost will be the pr…
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### Motivation
In many settings it's useful to treat missingness as a new category when it affects a categorical column. It would be great to have some transformer (with a meaningful name) that trans…
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As predicted @tomwhite we've hit https://github.com/sgkit-dev/vcf-zarr-spec/issues/11 pretty quickly when adding tests on real VCF files. I added a quick cludge to workaround the first case I hit, but…
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- if we're trying to justify including change at all, having the "ideal" version (without contract induced data gaps) of the signal as a different covariate would be useful. This could be a different …
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## Feature Description
I have developed a GAN framework for generating irregularly sampled time series with missing values, however, I cannot add it to synthcity as it does not support time series da…
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What is the rationale behind the termination of blockassoc if any of the dose values are missing?
~line 92 of blockassoc.R
```
stopifnot(!any(is.na(dose)))
```
If we want to remove this restriction…
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Hope this is the right place to ask a question like this, but I am trying to get my head around the missing property. In one of the papers it is written that
> If the simplified inputs represent fe…
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Previously ([in version 7](https://github.com/malariagen/malariagen-data-python/blob/5daf1c32844f50a0fbe6092fb30deced2316a796/malariagen_data/anopheles.py#L3218)) we set defaults for these parameters:…
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I am trying to run SweeD version 4.0.0 with -missing 0.1, but I am getting an error message, which looks like this:
ERROR: There are 141 nucleotides in line 167. Expected 142 (according to the fir…
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Ideally we'd deal with missingness much as lm does -- i.e. it is na.omitted internally but then the predictions etc. are put back into the full length vector with the NA intermixed.