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wording fix

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This commit is contained in:
Michaël Benesty
2015-12-10 11:33:40 +01:00
parent b2e68b8dc7
commit 1b07f86eb8
2 changed files with 4 additions and 8 deletions
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6
R-package/man/xgb.importance.Rd
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@@ -8,9 +8,9 @@ xgb.importance(feature_names = NULL, model = NULL, data = NULL,
label = NULL, target = function(x) ((x + label) == 2))
}
\arguments{
\item{feature_names}{names of each feature as a character vector. Can be extracted from a sparse matrix (see example). If model dump already contains feature names, this argument should be \code{NULL}.}
\item{feature_names}{names of each feature as a \code{character} vector. Can be extracted from a sparse matrix (see example). If model dump already contains feature names, this argument should be \code{NULL}.}
\item{model}{generated by the \code{xgb.train} function. Avoid the creation of a dump file.}
\item{model}{generated by the \code{xgb.train} function.}
\item{data}{the dataset used for the training step. Will be used with \code{label} parameter for co-occurence computation. More information in \code{Detail} part. This parameter is optional.}
@@ -25,8 +25,6 @@ A \code{data.table} of the features used in the model with their average gain (a
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).
This function is for both linear and tree models.
\code{data.table} is returned by the function.