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Rolling window quantiles of width w can be calculated on all observations in years leading up to a date of interest.
e.g. we may be interested in 90th ptile of temperature on 23 July 2024. This can…
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As opposed to triplet embeddings, we should try an everything is a token approach used in past works : [CEHR BERT](https://arxiv.org/abs/2111.08585), [ETHOS](https://www.medrxiv.org/content/10.1101/20…
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* **Version**: any
* **Platform**: server and agent
* **Subsystem**: any
There're a lot of metrics with type `summary` in spire. These metric type calculates requests count, sum of all latenc…
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sql/stats.TestRandomQuantileRoundTrip [failed](https://teamcity.cockroachdb.com/buildConfiguration/Cockroach_Ci_TestsAwsLinuxArm64_UnitTests/16815025?buildTab=log) with [artifacts](https://teamcity.co…
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### Describe the workflow you want to enable
Currently, train_test_split supports stratified sampling for classification problems using the stratify parameter to ensure that the proportion of classes…
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Hello,
Thank you for developing the ERF package; it has been very useful in my work! I have a question regarding the accuracy of predictions when the model encounters new, unseen observations.
G…
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Training using a custom dataset stops with an error and the intermediate result is quite noisy.
It seems like the loss is having a hard time oscillating near 0.3, not decreasing.
Following is my int…
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**Describe the bug**
When building LogQL queries that contain `avg by (...) (quantile_over_time(....)` throws an error as:
`SelectSamples unimplemented: the query-frontend cannot evaluate an expr…
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### Is your feature request related to a problem?
dask recently added [`dask.array.shuffle`](https://docs.dask.org/en/latest/generated/dask.array.shuffle.html) to help with some classic [GroupBy.ma…
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Suggestion: adding a Bland-Altman plot with upper/lower SD and quantile bounds.