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Francisco Bischoff - 18 Aug 2022
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This version is being maintained to keep up with CRAN standards. As soon as possible a new version (with possible breaking changes) with less dependencies will be released later in 2022 or beginning of 2023.
R Functions implementing UCR Matrix Profile Algorithm (http://www.cs.ucr.edu/~eamonn/MatrixProfile.html).
This package allows you to use the Matrix Profile concept as a toolkit.
This package provides:
# Basic workflow:
<- tsmp(data, window_size = 30) %>%
matrix find_motif(n_motifs = 3) %T>%
plot()
# SDTS still have a unique way to work:
<- sdts_train(data, labels, windows)
model <- sdts_predict(model, data, round(mean(windows))) result
Please refer to the User Manual for more details.
Please be welcome to suggest improvements.
set.seed(2018)
<- cumsum(sample(c(-1, 1), 40000, TRUE)) data
WIP in this version
# Install the released version from CRAN
install.packages("tsmp")
# Or the development version from GitHub:
# install.packages("devtools")
::install_github("matrix-profile-foundation/tsmp") devtools
head()
,
tail()
, [
, etc.)Our next step unifying the Matrix Profile implementation in several programming languages.
Visit: Matrix Profile Foundation
Please note that the ‘tsmp’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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