Repo for machine learning models for regional prediction of hydrologic forcing functions. Includes probabilistic seasonal high flow regions for CONUS, and prediction of high flow metrics for selected regions.
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Add a function to compare model error metrics as a function of number of replicates #192
For the supplement of the Regions paper, it would be good to show that using 20 replicates was sufficient. 20 is a small number, but the variability across the resamples was small.
Function should accept arguments for:
set of error metrics computed from the current model replicates
the number of bootstrap samples to create
vector of the size of the bootstraps (up to a maximum of the current number available)
A plot function should also be created.
x-axis is the size of the bootstrap samples from the previous function
y-axis is the distribution (boxplot) of RMSE across the number of bootstrap samples
For the supplement of the Regions paper, it would be good to show that using 20 replicates was sufficient. 20 is a small number, but the variability across the resamples was small.
Function should accept arguments for:
A plot function should also be created.