some more xgb.model.dt.tree improvements
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@@ -2,7 +2,7 @@
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% Please edit documentation in R/xgb.model.dt.tree.R
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\name{xgb.model.dt.tree}
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\alias{xgb.model.dt.tree}
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\title{Parse boosted tree model text dump}
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\title{Parse a boosted tree model text dump}
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\usage{
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xgb.model.dt.tree(feature_names = NULL, model = NULL, text = NULL,
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n_first_tree = NULL)
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@@ -34,8 +34,8 @@ The columns of the \code{data.table} are:
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\item \code{Yes}: ID of the next node when the split condition is met
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\item \code{No}: ID of the next node when the split condition is not met
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\item \code{Missing}: ID of the next node when branch value is missing
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\item \code{Quality}: either the split gain or the leaf value
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\item \code{Cover}: metric related to the number of observation either seen by a split split
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\item \code{Quality}: either the split gain (change in loss) or the leaf value
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\item \code{Cover}: metric related to the number of observation either seen by a split
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or collected by a leaf during training.
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}
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}
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@@ -43,12 +43,19 @@ The columns of the \code{data.table} are:
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Parse a boosted tree model text dump into a \code{data.table} structure.
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}
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\examples{
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# Basic use:
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data(agaricus.train, package='xgboost')
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bst <- xgboost(data = agaricus.train$data, label = agaricus.train$label, max.depth = 2,
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eta = 1, nthread = 2, nround = 2,objective = "binary:logistic")
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xgb.model.dt.tree(colnames(agaricus.train$data), bst)
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(dt <- xgb.model.dt.tree(colnames(agaricus.train$data), bst))
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# How to match feature names of splits that are following a current 'Yes' branch:
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merge(dt, dt[, .(ID, Y.Feature=Feature)], by.x='Yes', by.y='ID', all.x=T)[order(Tree,Node)]
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}
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