reconstructGBMdata

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). Originally developed by Greg Ridgeway.
Newer version available at github.com/gbm-developers/gbm3.

Ridgeway Greg

Generalized Boosted Regression Models

Greg Ridgeway

Daniel Edwards

Brian Kriegler

Stefan Schroedl

Harry Southworth

Brandon Greenwell

Bradley Boehmke

Jay Cunningham

GBM Developers

reconstructGBMdata function

<dl><dt>x</dt>
<dd>a <code>gbm.object</code> initially fit using <code>gbm</code></dd></dl>

Arguments

Author

Reconstruct a GBM's Source Data — reconstructGBMdata

<dl>

<dt>x</dt>
<dd>a <code>gbm.object</code> initially fit using <code>gbm</code></dd>

</dl>

Reconstruct a GBM's Source Data

reconstructGBMdata: Reconstruct a GBM's Source Data

Description

Usage

Value

Arguments

Author

See Also