R package consisting of functions and tools to facilitate the use of traditional time series and machine learning models to generate forecasts on univariate or multvariate data. Different backtesting scenarios are available to identify the best performing models.
Seed setting is important for reproducibility and GPU disabling. Parallel processing of time series requires to disable GPU and use only 1 CPU per time series processed.
Furthermore, the above command probably causes timeouts when the session cannot be properly initiated. An alternative must be found.
After having updated the Appveyor yml file, the server now is responsive and starts checks. However, it keeps failing because it cannot find the package dependencies.