fitted_ts_taxonomy_xgb_model: A fitted classification xgboost model from the caret R...

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

Description

A fitted classification xgboost model from the caret R packe based on the two .R files: "ts_taxonomy_results" and "ts_fc_evaluation_results" from this package. The "ts_taxonomy_results" are applied as training features and the "ts_fc_evaluation_results" as prediction label. Thus the model is able to predict for new "ts_taxonomy_results" data the best performing forecasting method out of the seven possible from the "ts_fc_evaluation_results" file.

Usage

fitted_ts_taxonomy_xgb_model

Format

fitted xgboost model from the caret R package The method is called 'xgbTree'. It is trained by cross-validation.

mowomoyela/tsfcmethodr documentation built on May 15, 2019, 4:47 p.m.