Predicted values based on xgb.Booster.handle object.
● Data Source:
CranContrib
● Keywords:
● Alias: predict,xgb.Booster.handle-method
●
0 images
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getinfo
(Package: xgboost) :
Get information of an xgb.DMatrix object
Get information of an xgb.DMatrix object
● Data Source:
CranContrib
● Keywords:
● Alias: getinfo, getinfo,xgb.DMatrix-method
●
0 images
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setinfo
(Package: xgboost) :
Set information of an xgb.DMatrix object
Set information of an xgb.DMatrix object
● Data Source:
CranContrib
● Keywords:
● Alias: setinfo, setinfo,xgb.DMatrix-method
●
0 images
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xgb.DMatrix.save
(Package: xgboost) :
Save xgb.DMatrix object to binary file
Save xgb.DMatrix object to binary file
● Data Source:
CranContrib
● Keywords:
● Alias: xgb.DMatrix.save
●
0 images
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xgb.save
(Package: xgboost) :
Save xgboost model to binary file
Save xgboost model from xgboost or xgb.train
● Data Source:
CranContrib
● Keywords:
● Alias: xgb.save
●
0 images
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Read a data.table containing feature importance details and plot it.
● Data Source:
CranContrib
● Keywords:
● Alias: xgb.plot.importance
●
0 images
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xgb.model.dt.tree
(Package: xgboost) :
Convert tree model dump to data.table
Read a tree model text dump and return a data.table.
● Data Source:
CranContrib
● Keywords:
● Alias: xgb.model.dt.tree
●
0 images
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Read a tree model text dump. Plotting only works for boosted tree model (not linear model).
● Data Source:
CranContrib
● Keywords:
● Alias: xgb.plot.tree
●
0 images
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xgb.load
(Package: xgboost) :
Load xgboost model from binary file
Load xgboost model from the binary model file
● Data Source:
CranContrib
● Keywords:
● Alias: xgb.load
●
0 images
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xgb.cv
(Package: xgboost) :
Cross Validation
The cross valudation function of xgboost
● Data Source:
CranContrib
● Keywords:
● Alias: xgb.cv
●
0 images
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