summary.gbm
(Package: gbm) :
Summary of a gbm object
Computes the relative influence of each variable in the gbm object.
● Data Source:
CranContrib
● Keywords: hplot
● Alias: summary.gbm
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predict.gbm
(Package: gbm) :
Predict method for GBM Model Fits
Predicted values based on a generalized boosted model object
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: predict.gbm
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0 images
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shrink.gbm.pred
(Package: gbm) :
Predictions from a shrunked GBM
Makes predictions from a shrunken GBM model.
● Data Source:
CranContrib
● Keywords: methods
● Alias: shrink.gbm.pred
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shrink.gbm
(Package: gbm) :
L1 shrinkage of the predictor variables in a GBM
Performs recursive shrinkage in each of the trees in a GBM fit using different shrinkage parameters for each variable.
● Data Source:
CranContrib
● Keywords: methods
● Alias: shrink.gbm
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plot.gbm
(Package: gbm) :
Marginal plots of fitted gbm objects
Plots the marginal effect of the selected variables by "integrating" out the other variables.
● Data Source:
CranContrib
● Keywords: hplot
● Alias: plot.gbm
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print.gbm
(Package: gbm) :
Print model summary
Display basic information about a gbm object.
● Data Source:
CranContrib
● Keywords: models, nonlinear, nonparametric, survival
● Alias: print.gbm, show.gbm
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gbm.object
(Package: gbm) :
Generalized Boosted Regression Model Object
These are objects representing fitted gbms.
● Data Source:
CranContrib
● Keywords: methods
● Alias: gbm.object
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validate.gbm
(Package: gbm) :
Test the code{gbm
Run tests on gbm functions to perform logical checks and reproducibility.
● Data Source:
CranContrib
● Keywords: models
● Alias: test.gbm, test.relative.influence, validate.gbm
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0 images
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gbmCrossVal
(Package: gbm) :
Cross-validate a gbm
Functions for cross-validating gbm. These functions are used internally and are not intended for end-user direct usage.
● Data Source:
CranContrib
● Keywords: models
● Alias: gbmCrossVal, gbmCrossValErr, gbmCrossValModelBuild, gbmCrossValPredictions, gbmDoFold
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pretty.gbm.tree
(Package: gbm) :
Print gbm tree components
gbm stores the collection of trees used to construct the model in a compact matrix structure. This function extracts the information from a single tree and displays it in a slightly more readable form. This function is mostly for debugging purposes and to satisfy some users' curiosity.
● Data Source:
CranContrib
● Keywords: print
● Alias: pretty.gbm.tree
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0 images
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