Provides four different classification machine learning methods and one C5.0 rule model to predict the best performing forecasting method for time series. The four different classification methods are: xgboost, cat boost, svm and ann. This package contains labeled time series data to train the models for the prediction of new time series data.
|Maintainer||Moritz Witte <firstname.lastname@example.org>|
|Package repository||View on GitHub|
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