New documentation rewording
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@@ -7,7 +7,7 @@
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xgb.plot.deepness(model = NULL)
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}
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\arguments{
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\item{model}{dump generated by the \code{xgb.train} function. Avoid the creation of a dump file.}
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\item{model}{dump generated by the \code{xgb.train} function.}
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}
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\value{
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Two graphs showing the distribution of the model deepness.
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@@ -28,7 +28,7 @@ The graph is made of two parts:
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\itemize{
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\item Count: number of leaf per level of deepness;
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\item Weighted cover: noramlized weighted cover per Leaf (weighted number of instances).
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\item Weighted cover: noramlized weighted cover per leaf (weighted number of instances).
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}
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This function is inspired by the blog post \url{http://aysent.github.io/2015/11/08/random-forest-leaf-visualization.html}
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