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We have this visualisation, which among others makes the point that you need quite a lot of samples for the sample-based log score to be reliable.
 in this website like Annthyroid dataset (http://odds.cs.stonybrook.edu/annthyroid-dataset/).
However, when I compare some ordinary supervised mo…
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The ability to run "outlier test" (1: for critical review) with large SNP dataset would serve a large community.
Outlier test define adaptive SNPs with Fst value that exceed the permutated value of si…
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### What happened?
The order of statistics in a drop-down menu is as follows
```r
[1] "Qn1" "Qn2" "Qn3" "Qc1" "Qc2" "Qc3" "Mn1" "Mn2" "Mn3" "Mc1" "Mc2" "Mc3"
```
but the order that is dis…
m7pr updated
7 months ago
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Issue 1: Every now and then, "shuffle" forgets it is supposed to be shuffled, and just starts playing songs in alphabetical order, and I have to tap shuffle again.
Issue 2: The shuffle algorithm is…
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it is written
For time-series outlier detection, please use [TODS](https://github.com/datamllab/tods). For graph outlier detection, please use [PyGOD](https://pygod.org/).
PyOD is the most co…
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auto_reduce_topic assumes that there is at least one unique non-outlier topic and throws an error if there isn't.
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**Is your feature request related to a problem? Please describe.**
I would like to use an Interquartile range filter to detect outliers in time series.
**Describe the solution you'd like**
A Tra…
shagn updated
2 years ago
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The current datashader pipeline always generates an image as the final output, with each aggregate bin corresponding to one output pixel. However, there are other possible ways to represent the data …
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This is probably just a number of standard deviations from the mean spatially