Package: srsbench 0.1
Christos Longros
srsbench: Evaluation Metrics for Spaced Repetition Schedulers
Calibration and discrimination metrics for spaced-repetition memory models. Provides the sample-weighted binned root mean squared error (RMSE(bins)) used to rank schedulers in the open spaced repetition benchmark, together with log loss, the area under the ROC curve, and calibration curves.
Authors:
srsbench_0.1.tar.gz
srsbench_0.1.tar.gz(r-4.7-any)srsbench_0.1.tar.gz(r-4.6-any)
srsbench_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
srsbench/json (API)
| # Install 'srsbench' in R: |
| install.packages('srsbench', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/chrislongros/srsbench/issues
Last updated from:43a96c7bb2. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 93 | ||
| source / vignettes | OK | 143 | ||
| linux-release-x86_64 | OK | 111 | ||
| wasm-release | OK | 90 |
Exports:calibration_binslog_lossrmse_binssrs_auc
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calibration curve in equal-width bins | calibration_bins |
| Log loss (binary cross-entropy) | log_loss |
| RMSE in bins for a spaced repetition scheduler | rmse_bins |
| Area under the ROC curve | srs_auc |
