removing resolved todos

Author: dsweber2

vignettes/custom_epiworkflows.Rmd

@@ -86,7 +86,6 @@ the training data and use that value on the prediction data, rather than
 using the mean of the test predictor for centering or including test data in the mean calculation.
 
 A major benefit of `{recipes}` is that it prevents information leakage. 
-<!-- TODO unsure if worth even keeping, as we effectively can't have data leakage. -->
 However, the _main_ mechanism we rely on to prevent data leakage is proper
 [backtesting](backtesting.html).
 
@@ -258,8 +257,6 @@ The following layers are only supported by point estimate engines, such as
   an approximate parametric distribution. This will work for linear regression
   specifically.
 
-<!-- TODO check this -->
-  
 On the other hand, the following layers are only supported by engines that 
 output quantiles, such as `quantile_reg()`:
 
@@ -453,8 +450,6 @@ result_plot <- autoplot(
 result_plot
 ```
 
-<!-- TODO `get_test_data` isn't actually working here... -->
-
 ## Population scaling
 
 Suppose we want to modify our predictions to apply to counts, rather than rates.