smooth
smooth copied to clipboard
The set of functions used for time series analysis and in forecasting.
It seems that this should decrease computation time due to more efficient matrix multiplication. But this means that almost all the parts of C++ code would need to be rewritten.
Modify existing models to cater for external variables (provided by user). This is especially important for simulated intervals in cases of mixed ETS models.
This is needed for ARIMAX models, where ARIMA states are backcasted and X is optimised.
Introducing the ADAM python class (for now it does nothing)...
When I run the example code from smoothCombine() i get the following error: > models traceback() 4: FUN(X[[i]], ...) 3: lapply(models, smoothType) 2: unlist(lapply(models, smoothType)) 1: smoothCombine(BJsales, models = models)...
This should be for completeness, as discussed here: https://openforecast.org/adam/ETSParametersBounds.html. Inspired by a fix by @MonikaZimmermann
Newb issue, but I'm not sure how to fix this one... ```--- stdout: WARNING: Use cmake.version instead of cmake.minimum-version with scikit-build-core >= 0.8 WARNING: Use ninja.version instead of ninja.minimum-version with...
Fil updates on initiali functions. Initialiser is not working stable. I need to test when I have all functions.