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Something like `dur_inf = ss.lognorm_ex(quantiles=([0.5, 0.9], [5, 10])` to specify that 50% of durations are
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Continues from https://github.com/odo/quantile_estimator/issues/6#issuecomment-2196226768...
It'd probably make it easier to keep compatibility between `quantile_estimator` and `prometheus.erl` if …
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👋, @deadtrickster.
First of all, great work on this lib.
Recently, while compiling with OTP 26, we started seeing some `quantile_estimator` -related issues:
* float format -related
* auto-im…
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Based on corollary 5.2 in https://apps.dtic.mil/sti/pdfs/ADA459827.pdf
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This paper https://osf.io/paby6/ and this library https://github.com/dmi3kno/qpd are very interesting.
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The implementation borrowed from `mitata` is incorrect and off by at least one for all quantiles.
Correct implementation:
```js
const quantile = (arr, q) => {
const base = (arr.length - 1…
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I am using the ggpredict function to get the predicted values of height with x, predicted, std.error, conf.low, and conf.high (shown in the screenshot below)
`pred_height
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Similar to #8658,
I'd like to be able to use `quantile` on groupby Series and DataFrame objects.
This works in Pandas but not Dask.
```
import pandas as pd
import dask.dataframe as dd
pdf = …
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After we've implemented the `r*` and `d*` functions, work on `p*` and `q*`. Both would probably be numerically determined (though analytical solutions are of course preferred).
Maybe one function c…
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Hi, I like this a lot and have looked jealously at R for the scoringRules package for long time. Once I've understood how the backends work in detail, I'd like to add a few scoring rules. I've worked…