index-listing.json

{
  "listing": "/learn/index.html",
  "items": [
    "/start/case-study/index.html",
    "/learn/statistics/survival-metrics-details/index.html",
    "/learn/models/calibration/index.html",
    "/learn/work/fairness-detectors/index.html",
    "/learn/statistics/bootstrap/index.html",
    "/start/models/index.html",
    "/learn/models/parsnip-nnet/index.html",
    "/learn/models/bootstrap-metrics/index.html",
    "/learn/models/conformal-regression/index.html",
    "/learn/statistics/tidy-analysis/index.html",
    "/learn/develop/broom/index.html",
    "/learn/develop/recipes/index.html",
    "/learn/work/case-weights/index.html",
    "/learn/develop/metrics/index.html",
    "/learn/statistics/survival-metrics/index.html",
    "/start/resampling/index.html",
    "/learn/work/fairness-readmission/index.html",
    "/learn/statistics/survival-case-study/index.html",
    "/learn/develop/models/index.html",
    "/learn/develop/parameters/index.html",
    "/learn/statistics/infer/index.html",
    "/learn/work/bayes-opt/index.html",
    "/learn/statistics/k-means/index.html",
    "/learn/work/tune-svm/index.html",
    "/learn/models/time-series/index.html",
    "/learn/models/pls/index.html",
    "/learn/work/nested-resampling/index.html",
    "/start/recipes/index.html",
    "/learn/models/parsnip-ranger-glmnet/index.html",
    "/learn/statistics/xtabs/index.html",
    "/learn/models/sub-sampling/index.html",
    "/start/tuning/index.html",
    "/learn/work/tune-text/index.html",
    "/learn/models/coefficients/index.html"
  ]
}