create_dist

Creation methods that take an empty distribution object
and builds on top of the skeleton.

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

create_dist function

<dl><dt>empty_obj</dt>
<dd>An empty distribution object of the correct class.</dd>
<dt>...</dt>
<dd>extra parameters used to define the distribution object,
see <code>gbm_dist</code>.</dd></dl>

Arguments

Author

Create distributions — create_dist

<dl>

<dt>empty_obj</dt>
<dd>An empty distribution object of the correct class.</dd>


<dt>...</dt>
<dd>extra parameters used to define the distribution object,
see <code>gbm_dist</code>.</dd>

</dl>

create_dist: Create distributions

Description

Usage

Value

Arguments

Author