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Can I work on this @geekquad @yukti845?
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Thank you for the hard work in implementing this nice function!
Maybe I missed it somewhere, but I didn't see the weight matrix for the prediction gets rescaled as that for the regression, which is…
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Consider
```
In [1]: sm.nonparametric.lowess([0] * 10 + [1] * 10, np.arange(20), it=2)[:, 1].T
Out[1]:
array([ 0. , 0. , 0. , 0. , 0. ,
0. , 0.…
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One of the original papers about the LOESS/LOWESS method added an iterative method for giving less weight to outliers.
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Hi There,
I have downloaded the pyloess package.
I have run `python setup.py build` and `python setup.py install`
When I type `import pyloess` in the python console, I got `ImportError: No module…
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Here's a LOWESS smoother for the .object interface. Like @tomicapretto, I slightly modified the PolyFit implementation. Until there is a release with a LOWESS smoother, this may do.
```
"""A smoo…
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Current `regplot` behavior when `lowess=True` is to ignore the confidence interval (`ci`) and bootstrap (`n_boot`) keyword arguments (example below):
``` python
sns.regplot('obs', 'mod', data=data, l…
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This feature might have been requested before: May we customize the `lowess` parameter in `regplot` and pass arguments to `statsmodels` function `nonparametric.smoothers_lowess.lowess(endog, exog, fra…
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I am excited to introduce a new library we've (@nickeubank) been working on, `seaborn_objects_recipes`. This library extends `seaborn.objects` by providing additional functionalities that we hope will…