Package: temper 1.1.0

temper: Temporal Encoder-Masked Probabilistic Ensemble Regressor

Implements a probabilistic ensemble time-series forecaster that combines an auto-encoder with a neural decision forest whose split variables are learned through a differentiable feature-mask layer. Functions are written with 'torch' tensors and provide CRPS (Continuous Ranked Probability Scores) training plus mixture-distribution post-processing.

Authors:Giancarlo Vercellino [aut, cre, cph]

temper_1.1.0.tar.gz
temper_1.1.0.zip(r-4.7)temper_1.1.0.zip(r-4.6)temper_1.1.0.zip(r-4.5)
temper_1.1.0.tgz(r-4.6-any)temper_1.1.0.tgz(r-4.5-any)
temper_1.1.0.tar.gz(r-4.7-any)temper_1.1.0.tar.gz(r-4.6-any)
temper_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
temper/json (API)
NEWS

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 71 downloads 1 exports 58 dependencies

Last updated from:c5a57f1f62. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK165
source / vignettesOK294
linux-release-x86_64OK157
macos-release-arm64OK127
macos-oldrel-arm64OK105
windows-develOK132
windows-releaseOK116
windows-oldrelOK114
wasm-releaseOK125

Exports:temper

Dependencies:bitbit64callrclicolorspacecommonmarkcorocpp11curldescfarverforecastfracdiffgenericsggplot2ggtextgluegridtextgtableimputeTSisobandjpegjsonlitelabelinglatticelifecyclelitedownlmtestlubridatemagrittrmarkdownnlmennetpngprocessxpspurrrR6RColorBrewerRcppRcppArmadillorlangS7safetensorsscalesstinepackstringistringrtimechangetimeDatetorchurcavctrsviridisLitewithrxfunxml2zoo