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## Context
We want to implement more functionalities for evaluating pose estimation model performance and for detecting outliers - i.e. erroneous/implausible pose predictions.
[LightningPose](ht…
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Data quality can significantly impact the results of the forecasting.
Currently we assume that input data is uniformly sampled in timeline and all missing values are filled.
However in realworld…
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Do we have anything? Cf. https://stackoverflow.com/questions/22354094/pythonic-way-of-detecting-outliers-in-one-dimensional-observation-data
There's a link to a nice test in the comments.
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### 🚀 Feature Request
get_anomalies_confidence_interval should work with pipeline instead of model.
### Motivation
This should expand possible option to find outliers.
### Proposal
1. …
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Self-emission training may not appropriate detect outliers. Here, self-emission errors totally messes up radiances and brightness temperatures, such as detected by uncertainty in radiance space but N…
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Hello Florian!
I have been trying to understand how outliers are detected when a continuous response variable is under consideration. I am having a tough time to understand the following line of co…
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**Is your feature request related to a problem? Please describe.**
Dataset I'll use :- https://www.kaggle.com/datasets/prasad22/government-financial-statistics-dataset
Government Finance Statist…
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On Windows, `iter_batched` and `iter_batched_ref` seem to add a significant amount of overhead compared to `iter`. The following benchmark file:
```rust
#[macro_use]
extern crate criterion;
us…
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`代码如下,R中结果显示null device
> sampleTree pdf("01.samples_cluster_tree.pdf",width=25,height=8)
> par(mar=c(0,4,2,0))
> plot(sampleTree,main="Sample clustering to detect outliers",sub="",xlab="")
> cut…
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Hi! 👋
When a task is executed from the IDE with the debugger enabled, the total build time reported will include all the debugging.
While this is expected, it might introduce some artificial ou…