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I have some tests errors
The commit is jpeyhardi/Core@3e19064f9e19654fbb57168364316be0c1cb9a3d and the environment used for the build is described by [environment.txt](https://github.com/StatisKit/…
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The library crashes when querying 0.0 or 1.0 quantile.
I agree, this makes little sense, but leaders can do it:
[pandas](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame…
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HLL and CMS for rowgroups could help with query planning (getting a sense of data skew) and with cheaply counting approximate distinct values. Both are commutative which means they can be combined acr…
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Hi there!
Vegeta recently migrated to use https://github.com/influxdata/tdigest for streaming quantile estimation. In the process, I [benchmarked](https://github.com/tsenart/vegeta/blob/master/lib/…
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(see branch docs)
* [ ] the fact that, when we can, we avoid doing `hcat(X, 1)`
* [ ] use `IterativeSolvers.cg` and not `IterativeSolvers.lsqr` as it allows specifying the operator as a linear map…
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### Summary
stats.nim contains memory-efficient statistical functions. It could also provide percentiles.
Perhaps it's worth adding a reminder that percentiles should be used in place of min/max/a…
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We have issues for using Mallow's or Schweppe's weights but I don't see any functional form for it.
We need references and functions for those.
Then we could use var and freq weights in GLM, based…
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continuing fitting count distribution instead of (just) estimating mean function
currently we have zero-inflated and over-dispersed compared to Poisson, GPP allows for small under-dispersion.
We…
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### Problem description
The current (v0.18.13) function signatures are (similar in expression module):
```python
def cut(
self,
breaks: list[float],
labels: list[str] |…
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夏普比率的计算公式:
https://baike.baidu.com/item/%E5%A4%8F%E6%99%AE%E6%AF%94%E7%8E%87
### 获取数据
以格力股票为例:
```r
GL
twn39 updated
6 years ago