Man pages for mowomoyela/tsfcmethodr
Classification methods to predict best performing forecasting method of a ts
| classify_new_ts_taxonomy | Classifies a ts based on the tstaxonomyr R package. |
| fc_data_preparation | Prepares a data frame object for classification ml method |
| fitted_ts_fs_taxonomy_c50_model | A fitted classification c5.0 rule model from the c50 R... |
| fitted_ts_fs_taxonomy_xgb_model | A fitted classification xgboost model from the caret R... |
| fitted_ts_taxonomy_c50_model | A fitted classification c5.0 rule model from the c50 R... |
| fitted_ts_taxonomy_xgb_model | A fitted classification xgboost model from the caret R... |
| predict_fc_model | Predicts the forecasting method for the inputed time series. |
| train_ann | Generates a classification ann trainings model. |
| train_c50_rule_model | Generates a rule based trainings model. |
| train_catboost | Generates a classification catboost trainings model. |
| train_svm | Generates a classification svm trainings model |
| train_xgb | Generates a classification xgboost trainings model. |
| ts_fc_evaluation_results | A data frame of 1000 time series data forecasting method... |
| ts_fs_taxonomy_results | A data frame of 1000 different classified time series data. |
| ts_taxonomy_results | A data frame of 1000 different classified time series data. |
