README.md

tsMetaLearnWrap

The goal of tsMetaLearnWrap is to serve as a set up wrapper function around the tsfeatures and tsgeneration packages.

Installation

devtools::install_github("alexhallam/tsMetaLearnWrap")

Example

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)


alexhallam/tsMetaLearnWrap documentation built on May 31, 2019, 12:44 a.m.