reconstructGBMdata


a <code><a rd-options="" href="/link/gbm.object?package=gbm&version=2.1.1" data-mini-rdoc="gbm::gbm.object">gbm.object</a></code> initially fit using <code><a rd-options="" href="/link/gbm?package=gbm&version=2.1.1" data-mini-rdoc="gbm::gbm">gbm</a></code>



Helper function to reconstitute the data for plots and summaries. This
function is not intended for the user to call directly.


 manip 

An implementation of extensions to Freund and
Schapire's AdaBoost algorithm and Friedman's gradient boosting
machine. Includes regression methods for least squares,
absolute loss, t-distribution loss, quantile regression,
logistic, multinomial logistic, Poisson, Cox proportional
hazards partial likelihood, AdaBoost exponential loss,
Huberized hinge loss, and Learning to Rank measures
(LambdaMart).

reconstructGBMdata: Reconstruct a GBM's Source Data

Description

Usage

Arguments

Value

See Also