to_old_gbm

Function that takes a <code>GBMFit</code> object produced from a call
to <code>gbmt</code> and converts it to the form of a gbm object from
Version 2.1 of the package.

Extensions to Freund and Schapire's AdaBoost algorithm, Y. Freund
and R. Schapire (1997) <doi:10.1006/jcss.1997.1504> and Friedman's gradient
boosting machine, J.H. Friedman (2001) <doi:10.1214/aos/1013203451>.
Includes regression methods for least squares, absolute loss,
t-distribution loss, quantile regression, logistic, Poisson,
Cox proportional hazards partial likelihood, AdaBoost
exponential loss, Huberized hinge loss,
and Learning to Rank measures (LambdaMART).

Ridgeway Greg

gbm3

Generalized Boosted Regression Models

James Hickey

Paul Metcalfe

Greg Ridgeway

Stefan Schroedl

Harry Southworth

Terry Therneau

to_old_gbm function

<dl><dt>gbm_fit_obj</dt>
<dd>a <code>GBMFit</code> object produced by a call to <code>gbmt</code>.</dd></dl>

Arguments

Author

Convert GBMFit to previous gbm object — to_old_gbm

<dl>

<dt>gbm_fit_obj</dt>
<dd>a <code>GBMFit</code> object produced by a call to <code>gbmt</code>.</dd>

</dl>

to_old_gbm: Convert GBMFit to previous gbm object

Description

Usage

Value

Arguments

Author