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Generate new features based on tree leafs

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Michaël Benesty
2015-12-07 11:30:19 +01:00
parent 115c63bcde
commit c1b2d9cb86
6 changed files with 185 additions and 6 deletions
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3
R-package/man/xgb.importance.Rd
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@@ -22,8 +22,7 @@ xgb.importance(feature_names = NULL, model = NULL, data = NULL,
A \code{data.table} of the features used in the model with their average gain (and their weight for boosted tree model) in the model.
}
\description{
Read a xgboost model text dump.
Can be tree or linear model (text dump of linear model are only supported in dev version of \code{Xgboost} for now).
Create a \code{data.table} of the most important features of a model.
}
\details{
This is the function to understand the model trained (and through your model, your data).