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Hey guys,
This is a proposal to add confidence intervals to linear models in scikit-learn.
This would be useful for people because stats-models only works on small datasets and is not as user friend…
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Tweedie is also in the linear exponential family and is use, for example, to model claim amounts.
Tweedie is a special case of compound Poisson distribution, that has the pdf/likelihood specified as …
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release condition: (Ipython 5.1, PyQt5.7, Scipy 0.18.0, Bokeh 0.12.1), (release: august 28th 2016)
Features:
Highlights :
- user facing : spyder3.0b4+, Bokeh 0.12.1
- computation: dask/distributed/x…
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Features:
- Highlight:
- user facing: IPython 5.0, Matplotlib 1.5.2, Spyder 3.0.0beta 4
- computation: numba 0.27, dask 0.10.1, numpy 1.11.1, scipy 0.18.0rc2, statsmodels 0.8.0rc1
- infrastructu…
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This is a sort of subtle bug. Consider the following two expressions.
```
*Data.Uncertain> 10 `withPrecision` 2 - 10 `withPrecision` 2
0.0 +/- 1.
*Data.Uncertain> let x = 10 `withPrecision` 2 in x -…
barak updated
8 years ago
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Any plans for parallel minRMSD clustering, either via `multiprocessing`, OpenMP, or some other parallelization strategy?
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Plz check the commits I have done:
https://github.com/QuantLet/TimeVaryingPenalization/commits/master
Please stick to my style. In particular, every Q has to be in its own subfolder.
In future you s…
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#### Summary:
Systemic bug in Stan inference engine
#### Description:
As demonstrated in [C-K Hur, A. V. Nori, S. K. Rajamani, and S. Samuel, "A Provably Correct Sampler for Probabilistic Programs"]…
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I'm going to spend a week, most likely after the EEC deadline, writing an angular correlations class. Some of the things I hope to incorporate:
- event mixing technique
- storage of prompt and event-m…
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I'm using KDTrees for implementing an iterative closest point algorithm for point cloud matching. `knn` with k=1 works very well for this, but I've found that there can be a large performance hit whe…