The goal of tsMetaLearnWrap is to serve as a set up wrapper function around
the tsfeatures
and tsgeneration
packages.
devtools::install_github("alexhallam/tsMetaLearnWrap")
This is a basic example which shows you how to solve a common problem:
library(tidyverse)
library(furrr)
library(tsfeatures)
library(tsgeneration)
devtools::install_github("alexhallam/tsMetaLearnWrap")
# generate data
dat <- generate_feature_space(n.ts = 10, n = 74)
# make features
features <- dat %>% make_ts_features_sim()
# data ready for classification
make_classification_df(dat, features)
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