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It would be wonderful if the nonparametric estimators (esp. lowess ) offered to return confidence intervals instead of just providing fitted values.
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Hello,
I am using anaconda3 on a Windows10 machine with Spyder interface to run Stream. When I try to use my data to identify Variable genes, I get the following warning and then no variable genes …
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I feel like I am being held up by this bike-shedding problem and I would like to settle this before releasing the next version. @znicholls, @jschwaab & @yquilcaille - do you have an opinion?
### 1.…
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a quick prototype for a Logit plot observed versus predicted, using lowess as smoother (local averaging)
see #6430 (calibration) #6434 plot elements like add_lowess
```
fig = plt.Figure(figsize…
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- Change estimators Hampel, Huber, Ramsay from RLS to estimate_location
- lowess: Convert Cython to numba?
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`add_lowess` is very convenient, just one line to add it to a new plot
e.g. smoothed endog for Logit as a function of predicted probabilities
(usecase calibration or reset plots #6430 or regressio…
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I understand that `lm` result can be drawn via `ly_abline`, but it is confusing to use `ly_lines` for `lowess` and `ly_abline` for `lm`.
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The first implements a classic algorithm:
https://github.com/arokem/lowess
The second implements an algorithm that we developed and described [here](http://www.ncbi.nlm.nih.gov/pubmed/25684972):
htt…
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The batch correction module should have an argument to specify which specific sample of "Precision Reference" type should be used for LOWESS correction.
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Is local linear regression in scikit? Are you planning to implement that in the future? If not, are contributions welcome in this area?