Today, give a try to Techtonique web app, a tool designed to help you make informed, datadriven decisions using Mathematics, Statistics, Machine Learning, and Data Visualization
A new Python version of ahead
is now available on GitHub
and PyPI. ahead
is a package (Python and R) for univariate and multivariate time series forecasting, with uncertainty
quantification (in particular, simulationbased).
Here are the new features:

Align with R version (see https://github.com/Techtonique/ahead/blob/main/NEWS.md#version070 and https://github.com/Techtonique/ahead/blob/main/NEWS.md#version080) as much as possible

moving block bootstrap in
ridge2f
,basicf
, in addition to circular block bootstrap from 0.6.2 for obtaining predictive simulations 
adjust RVine copulas on residuals for
ridge2f
simulation (with empirical and Gaussian marginals)
It still takes forever to be imported in Python (only the first time) when the R packages are not available in the environment. But I’ll release a workaround soon.
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