notebook for imputation methods using PhysioNet2012

[sueoglu]

• Adds imputation_nb.ipynb, a new tutorial that walks through ehrapy's six imputation methods (explicit_impute, simple_impute, locf_impute, knn_impute, miss_forest_impute, mice_forest_impute) using the PhysioNet Challenge 2012 ICU dataset.
• All methods are benchmarked on a 200-patient subset by masking 10% of observed values and comparing RMSE/MAE, mean/std deviation from ground truth, and runtime/memory cost (last one in progress)
• Closes out with a decision guide (which method to pick based on variance sensitivity, speed needs, temporal structure, or cluster structure) and applies mice_forest_impute (we could also use locf) to the full dataset with before/after sanity checks.

side note: will see how to fix the rendering problem especially for the raincloud plots since its a little weird atm

[review-notebook-app]

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