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diff --git a/analysis/README.md b/analysis/README.md new file mode 100644 index 0000000..48e2e5e --- /dev/null +++ b/analysis/README.md @@ -0,0 +1,14 @@ +# Analysis + +## Files +- kmeans.R: Just here for doing some tests +- offline.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 +- in-situ.R: Implement the in-situ learning approach (Figure 4a 4b and 4c) + - For figure 4a and 4b we train the model with increasing amount of data from previous results as if we were using one policy per day (see section IV.A) + - For figure 4c, delta is generated by comparing using each policies in round-robin (one per days to perform the training) + to each previous paper results with single policy only (see paper section IV.A) +## Notes +Todo: remove minbucket=1 (does not impact the results) + |