Reproducibility: "(POSTER) Towards Data Dissemination Policy
Prediction for Constrained Environments Using
Analytics" (this repo is not cited in any papers)
analysis | ||
simulations | ||
slides_recap | ||
CCGRID2022.csv | ||
inputs.csv | ||
inputs_NoHintIsFALSE.csv | ||
inputs_NoHintIsTRUE.csv | ||
README.md | ||
sim_results_WITH_HINT.csv |
loosely-policies-analytics
Analysis folder:
- learning.R: contains two major functions:
- build_models: To generate K-fold cross-validation results (note that hyper-parameters for decisions tree is fixed (no validation set))
- generate_inputs: generate the inputs for the simulations experiments + the decision tree plots
- days.R: Implement the in-situ learning approach
To fix: remove minbucket=1 (does not impact the results)