Package: Ghost 0.1.0

Ghost: Missing Data Segments Imputation in Multivariate Streams

Helper functions provide an accurate imputation algorithm for reconstructing the missing segment in a multi-variate data streams. Inspired by single-shot learning, it reconstructs the missing segment by identifying the first similar segment in the stream. Nevertheless, there should be one column of data available, i.e. a constraint column. The values of columns can be characters (A, B, C, etc.). The result of the imputed dataset will be returned a .csv file. For more details see Reza Rawassizadeh (2019) <doi:10.1109/TKDE.2019.2914653>.

Authors:Siyavash Shabani, Reza Rawassizadeh

Ghost_0.1.0.tar.gz
Ghost_0.1.0.zip(r-4.7)Ghost_0.1.0.zip(r-4.6)Ghost_0.1.0.zip(r-4.5)
Ghost_0.1.0.tgz(r-4.6-any)Ghost_0.1.0.tgz(r-4.5-any)
Ghost_0.1.0.tar.gz(r-4.7-any)Ghost_0.1.0.tar.gz(r-4.6-any)
Ghost_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
Ghost/json (API)

# Install 'Ghost' in R:
install.packages('Ghost', repos = c('https://siyavashshabani.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/siyavashshabani/ghost/issues

On CRAN:

Conda:

3.30 score 6 stars 11 scripts 188 downloads 3 mentions 2 exports 1 dependencies

Last updated from:71aa751ef4. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE99
source / vignettesOK125
linux-release-x86_64NOTE92
macos-release-arm64NOTE114
macos-oldrel-arm64NOTE178
windows-develNOTE101
windows-releaseNOTE72
windows-oldrelNOTE62
wasm-releaseOK79

Exports:reconstructsaxTransform

Dependencies:R6