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Status: Draft
Note: Putting this here as a place to park a potentially promising idea
Background - we have no objective measures of granularity in the Cell Ontology, although we are sometimes aske…
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When running the [firststeps example](https://gpflowopt.readthedocs.io/en/latest/notebooks/firststeps.html) I get several deprecation warnings. The environment is a fresh virtual conda environment on …
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Thank you for your work!
Could you give a further explanation about the difference between **uniform distribution (Unif)** and **the original class priors of the training dataset**. If the dataset…
zh-jp updated
5 months ago
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Since `bayestestR` can really be used with any distribution of data, I think it would be good to have a vignette about using it with non-Bayeisan distributions - for example how to use `bayestestR` wi…
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#### Describe the bug
Take for example the normal distribution. In an exercise I had P(0 < X < a) = 2/11 and had to solve for a. I wasn't able to specify both the 0 and the 2/11.
#### To Reproduce…
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We conducted a regrouping of our offense types using the CJARS tool (as Prof Johnson recommended) -- based on the `DISPOSITION_CHARGED_OFFENSE_TITLE` column. We chose this column over the `UPDATED_OFF…
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I'm opening this issue to see if the maintainers of this package are interested in a implementation of a `Empirical Distribution` type, similar to `DiscreteNonParametric`, but allowing the support to …
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Hi I have two questions when I use a HDBSCAN model with BERTopic.
1. When I try to predict a new sentence (I want the probability of the outlier as well so I am using HDBSCAN for prediction instead…
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Right now, it doesn't go past the first iteration. I need to implement the a/b alternation step, double-check the integrals for correctness, and then implement the binary search part.
I should also…
j2kun updated
4 years ago
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Will: I am at a bit of a loss here. I am not sure why we need to use uniform distribution. Why would we not use rnorm with the mean set to the survive probability for that species? I thought that was …