codeboy7432

5 ms·

1. 1.▲
   by codeboy7432 4y ago

   I added class comments to each class which explain the high level implementation details. Clamping is supported with natural cubic splines, and this is done by taking the slopes at each endpoint. Monotonicity is currently not supported (for
2. 2.▲
   by codeboy7432 4y ago

   (Same as comment above) ".. I had to generate confidence intervals on over 8000 univariate data sets using very small VMs, so I needed to limit large dependancies as much as I could. This package was the result of this!" Based on
3. 3.▲
   by codeboy7432 4y ago

   I did look into stats models, but this was a large library with more than I needed. I did not look into R.. Are there any lightweight alternatives in this language?
4. 4.▲
   by codeboy7432 4y ago

   That is correct. I had to generate confidence intervals on over 8000 univariate data sets using very small VMs, so I needed to limit large dependancies as much as I could. This package was the result of this!
5. 5.▲
   by codeboy7432 4y ago

   I authored this package as I needed to generate confidence intervals for time series data without using SciPy. Sharing this here, as this could be a useful package for others :) Included Models: - Linear regression - Ridge regression - Line
6. 6.▲
   Python library for univariate regression, interpolation, and smoothing(github.com)

   102 points by codeboy7432 4y ago|27 comments