create_feat_classif_problem: Create a classification problem from a forecasting-processed...
In robjhyndman/M4metalearning: Metalearning Tools For Time Series Forecasting

Description Usage Arguments Value

View source: R/ensemble_classifier.R

Create a classification problem from a forecasting-processed time series dataset

1	create_feat_classif_problem(dataset)

dataset

A list with each element having a THA_features and a errors fields. See generate_THA_feature_dataset and process_forecast_dataset for more information.

create_feat_classif_problem returns a list with the entries:

data: The features extracted from the series.
errors: The errors produced by the forecasting method.
labels: The target classification problem, created by selecting the method that produces. Integer from 0 to (nmethods-1).