prediction_plot: Plot predicted and true values for diganostic purposes
In jeremyrcoyle/sl3: Pipelines for Machine Learning and Super Learning
View source: R/prediction_plot.R
prediction_plot R Documentation
Plot predicted and true values for diganostic purposes
Description
If a Lrnr_sl fit is provided, predictions will be generated from the cross-validated learner fits and final metalearner fit.
Otherwise, non cross-validated predictions will be used an an error will be thrown
Usage
prediction_plot(learner_fit)
Arguments
learner_fit
A fit sl3 learner object. Ideally from a Lrnr_sl
Value
A ggplot2 object
jeremyrcoyle/sl3 documentation built on April 30, 2024, 10:16 p.m.
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View source: R/prediction_plot.R
| prediction_plot | R Documentation |
Plot predicted and true values for diganostic purposes
Description
If a Lrnr_sl fit is provided, predictions will be generated from the cross-validated learner fits and final metalearner fit. Otherwise, non cross-validated predictions will be used an an error will be thrown
Usage
prediction_plot(learner_fit)
Arguments
learner_fit |
A fit sl3 learner object. Ideally from a Lrnr_sl |
Value
A ggplot2 object
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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