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-any)Ghost_0.1.0.zip(r-4.6-any)Ghost_0.1.0.zip(r-4.5-any)
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:

3.33 score 6 stars 12 scripts 210 downloads 3 mentions 2 exports 1 dependencies

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

TargetResultTimeFilesSyslog
linux-develNOTE111
source / vignettesOK147
linux-releaseNOTE116
macos-releaseNOTE163
macos-oldrelNOTE185
windows-develNOTE70
windows-releaseNOTE52
windows-oldrelNOTE58
wasm-releaseOK102

Exports:reconstructsaxTransform

Dependencies:R6