mowomoyela/tsfcmethodr: Classification methods to predict best performing forecasting method of a ts

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.

Getting started

Package details

AuthorMoritz Witte
MaintainerMoritz Witte <>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
mowomoyela/tsfcmethodr documentation built on May 15, 2019, 4:47 p.m.