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[R] Use new interface for creating DMatrix from CSR. (#8455)

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* [R] Use new interface for creating DMatrix from CSR.

- CSC is still using the old API.

The old API is not aware of `nthread` parameter, which makes DMatrix to use all available
thread during construction and during transformation lie `SparsePage` -> `CSCPage`.
This commit is contained in:
Jiaming Yuan
2022-11-23 21:36:43 +08:00
committed by GitHub
parent 58d211545f
commit 5f1a6fca0d
6 changed files with 68 additions and 33 deletions
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6
R-package/man/cb.gblinear.history.Rd
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@@ -72,12 +72,12 @@ matplot(xgb.gblinear.history(bst)[[3]], type = 'l')
#### Multiclass classification:
#
dtrain <- xgb.DMatrix(scale(x), label = as.numeric(iris$Species) - 1, nthread = 2)
dtrain <- xgb.DMatrix(scale(x), label = as.numeric(iris$Species) - 1, nthread = 1)
param <- list(booster = "gblinear", objective = "multi:softprob", num_class = 3,
lambda = 0.0003, alpha = 0.0003, nthread = 2)
lambda = 0.0003, alpha = 0.0003, nthread = 1)
# For the default linear updater 'shotgun' it sometimes is helpful
# to use smaller eta to reduce instability
bst <- xgb.train(param, dtrain, list(tr=dtrain), nrounds = 70, eta = 0.5,
bst <- xgb.train(param, dtrain, list(tr=dtrain), nrounds = 50, eta = 0.5,
callbacks = list(cb.gblinear.history()))
# Will plot the coefficient paths separately for each class:
matplot(xgb.gblinear.history(bst, class_index = 0), type = 'l')