README.md
In dashaub/DidacticBoost: A Simple Implementation and Demonstration of Gradient Boosting
DidacticBoost
A simple demonstration and implementation of gradient boosting
Installation
The stable release of the package is hosted on CRAN and can be installed as usual:
install.packages("DidacticBoost")
Usage
```r
library(DidacticBoost)
k <- kyphosis
k$Kyphosis <- factor(ifelse(k$Kyphosis == "present", 1L, -1L))
fit <- fitBoosted(Kyphosis ~ Age + Number + Start, data = k, iterations = 10)
predict(fit, newdata = k[, 1:5])
````
dashaub/DidacticBoost documentation built on May 14, 2019, 6:11 p.m.
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DidacticBoost
A simple demonstration and implementation of gradient boosting
Installation
The stable release of the package is hosted on CRAN and can be installed as usual:
install.packages("DidacticBoost")
Usage
```r library(DidacticBoost) k <- kyphosis k$Kyphosis <- factor(ifelse(k$Kyphosis == "present", 1L, -1L)) fit <- fitBoosted(Kyphosis ~ Age + Number + Start, data = k, iterations = 10) predict(fit, newdata = k[, 1:5]) ````
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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