[R] various R code maintenance (#1964)

* [R] xgb.save must work when handle in nil but raw exists

* [R] print.xgb.Booster should still print other info when handle is nil

* [R] rename internal function xgb.Booster to xgb.Booster.handle to make its intent clear

* [R] rename xgb.Booster.check to xgb.Booster.complete and make it visible; more docs

* [R] storing evaluation_log should depend only on watchlist, not on verbose

* [R] reduce the excessive chattiness of unit tests

* [R] only disable some tests in windows when it's not 64-bit

* [R] clean-up xgb.DMatrix

* [R] test xgb.DMatrix loading from libsvm text file

* [R] store feature_names in xgb.Booster, use them from utility functions

* [R] remove non-functional co-occurence computation from xgb.importance

* [R] verbose=0 is enough without a callback

* [R] added forgotten xgb.Booster.complete.Rd; cran check fixes

* [R] update installation instructions
This commit is contained in:
Vadim Khotilovich
2017-01-21 13:22:46 -06:00
committed by Tianqi Chen
parent a073a2c3d4
commit 2b5b96d760
27 changed files with 561 additions and 327 deletions

View File

@@ -9,17 +9,19 @@ xgb.model.dt.tree(feature_names = NULL, model = NULL, text = NULL,
}
\arguments{
\item{feature_names}{character vector of feature names. If the model already
contains feature names, this argument should be \code{NULL} (default value)}
contains feature names, those would be used when \code{feature_names=NULL} (default value).
Non-null \code{feature_names} could be provided to override those in the model.}
\item{model}{object of class \code{xgb.Booster}}
\item{text}{\code{character} vector previously generated by the \code{xgb.dump}
function (where parameter \code{with_stats = TRUE} should have been set).}
function (where parameter \code{with_stats = TRUE} should have been set).
\code{text} takes precedence over \code{model}.}
\item{trees}{an integer vector of tree indices that should be parsed.
If set to \code{NULL}, all trees of the model are parsed.
It could be useful, e.g., in multiclass classification to get only
the trees of one certain class. IMPORTANT: the tree index in xgboost model
the trees of one certain class. IMPORTANT: the tree index in xgboost models
is zero-based (e.g., use \code{trees = 0:4} for first 5 trees).}
\item{...}{currently not used.}
@@ -56,7 +58,9 @@ bst <- xgboost(data = agaricus.train$data, label = agaricus.train$label, max_dep
eta = 1, nthread = 2, nrounds = 2,objective = "binary:logistic")
(dt <- xgb.model.dt.tree(colnames(agaricus.train$data), bst))
# This bst has feature_names stored in it, so those would be used when
# the feature_names parameter is not provided:
(dt <- xgb.model.dt.tree(model = bst))
# How to match feature names of splits that are following a current 'Yes' branch: