plotMSEs: Plot the top (smallest) validation MSEs for an ensemble of...
In osofr/longGriDiSL: Discrete Super Learner with Grid-Search for Longitudinal Data
Description
Plot the top (smallest) validation MSEs for an ensemble of prediction models
Usage
1
plotMSEs(PredictionModel, K = 1, interactive = FALSE)
Arguments
PredictionModel
Must be an R6 object of class PredictionModel (returned by get_fit function)
or an object of class PredictionStack (returned by make_PredictionStack function).
Must also contain validation /test set predictions and corresponding MSEs.
K
How many top (smallest) MSEs should be plotted? Default is 5.
interactive
Setting this to TRUE will produce an interactive plot in html format using the package ggiraph.
osofr/longGriDiSL documentation built on May 24, 2019, 4:56 p.m.
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Description
Plot the top (smallest) validation MSEs for an ensemble of prediction models
Usage
1 | plotMSEs(PredictionModel, K = 1, interactive = FALSE)
|
Arguments
PredictionModel |
Must be an R6 object of class |
K |
How many top (smallest) MSEs should be plotted? Default is 5. |
interactive |
Setting this to |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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