version 0.10.0

Naming series in input data frame
Plot method for all the objects
More about the code: begin refactoring and DRYing --> Base class

version 0.9.0

Align with R version
Progress bars for bootstrapping (independent, circular block, moving block)
See also https://github.com/Techtonique/ahead/blob/main/NEWS.md

version 0.8.2

plot ridge2

version 0.8.1

Align with R version (see https://github.com/Techtonique/ahead/blob/main/NEWS.md#version-070 and https://github.com/Techtonique/ahead/blob/main/NEWS.md#version-080) as much as possible
moving block bootstrap in ridge2f, basicf, in addition to circular block bootstrap from 0.6.2
adjust R-Vine copulas on residuals for ridge2f simulation (with empirical and Gaussian marginals)

version 0.6.2

Add Block Bootstrap to ridge2f and basicf
Add external regressors to ridge2f
Add clustering with K-Means and hierarchical clustering to ridge2f
Install R or rpy2 if necessary (? weird)
Refactor code for rpy2 and R imports

version 0.6.1

Reduce number of required packages depencies
Fix rpy2 requirement (version 3.4.5)
Requires Python version >= 3.9

version 0.5.0

add dropout regularization to Ridge2Regressor
parallel execution for type_pi == bootstrap in Ridge2Regressor (done in R /!, experimental)
ARMA(1, 1)-GARCH(1, 1) in Python

version 0.4.2

new attributes mean, lower bound, upper bound forecast as numpy arrays

version 0.4.1

use get_frequency to get series frequency as a number
create a function get_tscv_indices for getting time series cross-validation indices