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### Please describe the purpose of filing this issue
Equivalent symbolic methods to those are missing.
The Numpy `quantile` and `percentile` methods have too many options for the `interpolation` …
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When profiling a numerical column, I get these quantiles:
```json
"quantiles": {
"0": 657.04,
"1": 999.18,
"2": 1335.71
},
```
Based on the data, …
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I did some work on radars recently and used your package as one starting point to build my own package. That said, I was quite irritated by the 50% lines in your plot. They **are not** the 50% quantil…
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The t-test requires an alpha value to create a confidence interval (e.g., 5%) https://github.com/SCECcode/pycsep/blob/5f84ea97101de0439deb1e3f5c383874c7bb3801/csep/core/poisson_evaluations.py#L14-L15 …
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My understanding is that currently, forecasters in this package can produce predictive quantiles. However, in many disease forecasting hubs, there is interest in collecting sample trajectories. It c…
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Hi there - looks like most basic stats operations support multidimensional arrays with the exception of quantile. Is there an explicit reason for not being able to compute percentiles across dimensio…
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I used connect to sync a table of bigquery which has 50GB storage usage, tring to do a batch synchronization. but i found that after the task is completed, the memory usage remains unchanged. I am con…
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**Is your feature request related to a problem? Please describe.**
For a regression problem, you are often not interested in the actual outcome but more in the boundary where the outcomes lay betwe…
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We have an `interval_coverage_dev_quantile()` function, but we don't have the equivalent for quantile coverage.
New function would be `quantile_coverage_dev_quantile()`
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This issue was auto filed by Sentry. It represents a crash or reported error on a live cluster with telemetry enabled.
Sentry Link: [https://cockroach-labs.sentry.io/issues/5378038262/?referrer=webho…