iteration_error

Extract errors from GBMFit objects

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

iteration_error function

<dl><dt>obj</dt>
<dd>a GBMFit object</dd>
<dt>which</dt>
<dd>which error measure to extract</dd></dl>

Arguments

Extract errors from GBMFit objects — iteration_error

<dl>

<dt>obj</dt>
<dd>a GBMFit object</dd>


<dt>which</dt>
<dd>which error measure to extract</dd>

</dl>

iteration_error: Extract errors from GBMFit objects

Description

Usage

Value

Arguments