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Functions6,719 in github.com/dmlc/xgboost

⨍ Functions 6,719◇ Types & classes 1,105↳ Endpoints 5

↓ 7 callersFunctioninit

Initialize the collective library with arguments. Parameters ---------- args : Keyword arguments representing the parameters and

python-package/xgboost/collective.py:94

↓ 7 callersMethodisMaximizeEvaluation

Decides whether the evaluation metrics are to be maximized or not. @param evalInfo The evaluation log string from which the metric name is inferred.

jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/XGBoost.java:399

↓ 7 callersMethodloadModel

load model from modelPath @param modelPath booster modelPath (model generated by booster.saveModel) @throws XGBoostError native error

jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/XGBoost.java:46

↓ 7 callersFunctionnorm

(mean: float, std: float)

python-package/xgboost/testing/data.py:271

↓ 7 callersMethodnum_col

Get the number of columns (features) in the DMatrix. Returns ------- number of columns

python-package/xgboost/dask/__init__.py:499

↓ 7 callersFunctionrun

(evals: Optional[list])

tests/python/test_survival.py:30

↓ 7 callersMethodsaveModel

Save model to modelPath @param modelPath model path

jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/Booster.java:549

↓ 7 callersMethodsetAttr

Set an attribute key-value pair to the Booster. @param key attribute key @param value attribute value @throws XGBoostError native error

jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/Booster.java:164

↓ 6 callersMethodAccept

* \brief Accept new connection, returns a new TCP socket for the new connection. */

include/xgboost/collective/socket.h:476

↓ 6 callersMethodAddHistRow

Create an empty histogram for i-th node

plugin/sycl/common/hist_util.h:86

↓ 6 callersFunctionAddMissingToJson

R-package/src/xgboost_R.cc:215

↓ 6 callersMethodAnyMissing

And this returns part of state

src/common/column_matrix.h:411

↓ 6 callersFunctionApplyWithLabels

src/collective/aggregator.h:66

↓ 6 callersFunctionAssertSYCLSupport

src/common/common.h:203

↓ 6 callersMethodBuildHist

plugin/sycl/common/hist_util.cc:405

↓ 6 callersFunctionCalcGainGivenWeight

src/tree/param.h:228

↓ 6 callersFunctionCheckDevice

src/data/data.cc:827

↓ 6 callersFunctionCheckShapAdditivity

tests/cpp/predictor/test_shap.cc:283

↓ 6 callersFunctionCreateTrainedGBM

tests/cpp/helpers.cc:660

↓ 6 callersMethodData

src/collective/in_memory_handler.h:23

↓ 6 callersMethodEvaluateSplits

src/tree/updater_quantile_hist.cc:490

↓ 6 callersMethodForward

include/xgboost/json_io.h:36

↓ 6 callersFunctionGenerateRandomGPairs

tests/cpp/plugin/test_sycl_hist_updater.cc:85

↓ 6 callersMethodGetColumnType

src/common/column_matrix.h:408

↓ 6 callersMethodGetGlobalBinIdx

src/common/column_matrix.h:48

↓ 6 callersMethodGetInitialised

include/xgboost/parameter.h:99

↓ 6 callersMethodGetNodeId

src/tree/hist/expand_entry.h:31

↓ 6 callersMethodGetNumLeaves

src/tree/tree_model.cc:766

↓ 6 callersFunctionGetWorkerLocalThreads

tests/cpp/collective/test_worker.h:199

↓ 6 callersMethodHasTruncation

src/common/ranking_utils.h:117

↓ 6 callersMethodHasValueGrad

include/xgboost/gradient.h:22

↓ 6 callersMethodHost

src/collective/tracker.h:101

↓ 6 callersFunctionHumanMemUnit

src/common/common.cc:48

↓ 6 callersMethodInitStorage

src/common/column_matrix.cc:20

↓ 6 callersFunctionIota

src/common/numeric.h:124

↓ 6 callersMethodIsDeleted

src/tree/tree_view.h:120

↓ 6 callersMethodIsInitialized

src/common/column_matrix.h:263

↓ 6 callersMethodIsMissing

src/common/column_matrix.h:127

↓ 6 callersFunctionLayerToTree

From here on, layer becomes concrete trees.

src/gbm/gbtree.h:124

↓ 6 callersMethodLeafLength

include/xgboost/learner.h:348

↓ 6 callersFunctionMakeArrayInterface

Make Json encoded array interface. */

demo/c-api/basic/c-api-demo.c:25

↓ 6 callersMethodMakeCUDA

* @brief Make a CUDA context based on the current context. * * @param ordinal The CUDA device ordinal. */

include/xgboost/context.h:240

↓ 6 callersFunctionMakeCache

* @brief Make cache if it doesn't exist yet. */

src/data/sparse_page_source.h:109

↓ 6 callersFunctionMakeMetricName

src/common/ranking_utils.cc:158

↓ 6 callersFunctionMakeTrackerConfig

tests/cpp/collective/test_worker.h:104

↓ 6 callersFunctionNotFound

src/encoder/ordinal.h:122

↓ 6 callersMethodNumFeatures

src/common/quantile.cc:186

↓ 6 callersMethodNumLeaves

include/xgboost/multi_target_tree_model.h:124

↓ 6 callersFunctionQuantile

src/common/stats.h:34

↓ 6 callersMethodRMaxPrev

! \return rmax estimation for v strictly smaller than value */

src/common/quantile.h:54

↓ 6 callersMethodRecv

src/collective/socket.cc:92

↓ 6 callersMethodReset

src/tree/constraints.cc:27

↓ 6 callersMethodResize

plugin/sycl/common/host_device_vector.cc:333

↓ 6 callersMethodRun

tests/cpp/plugin/federated/test_federated_learner.cc:64

↓ 6 callersFunctionSearchKey

src/encoder/ordinal.h:121

↓ 6 callersMethodSetPrune

! * \brief prune current summary in place. * * \param maxsize size we can afford in the pruned sketch */

src/common/quantile.h:225

↓ 6 callersMethodShutdown

src/collective/comm.cc:443

↓ 6 callersMethodSize

returns number of elements in column */

src/common/column_matrix.h:53

↓ 6 callersFunctionSketchSummaryBudget

Per-feature summary size for a sketch that represents `num_samples`. `num_samples` can be an exact per-feature count or a conservative approximation w

src/common/quantile.h:750

↓ 6 callersMethodSplit

src/tree/constraints.h:43

↓ 6 callersMethodStop

src/collective/loop.cc:202

↓ 6 callersMethodTask

src/objective/lambdarank_obj.cc:278

↓ 6 callersFunctionTestBuildHistogram

tests/cpp/tree/hist/test_histogram.cc:230

↓ 6 callersMethodTestCombination

tests/cpp/tree/test_tree_policy.cc:97

↓ 6 callersFunctionTestHistogramExternalMemory

tests/cpp/tree/hist/test_histogram.cc:410

↓ 6 callersMethodTrees

src/predictor/gbtree_view.h:72

↓ 6 callersFunctionTrimFirst

Trims leading whitespace from a string

src/common/common.h:78

↓ 6 callersFunctionTrimLast

src/common/common.h:89

↓ 6 callersFunctionValidate

Validate the consistency of the model.

src/gbm/gbtree_model.cc:42

↓ 6 callersMethodWaitUntilReady

src/collective/tracker.cc:53

↓ 6 callersFunctionXGBoosterSaveModel

src/c_api/c_api.cc:1543

↓ 6 callersFunctionXGBoosterSaveModelToBuffer

src/c_api/c_api.cc:1586

↓ 6 callersFunctionXGDMatrixGetStrFeatureInfo

src/c_api/c_api.cc:675

↓ 6 callersMethod__init__

( self, client: Optional["distributed.Client"], data: _DataT, label: Optional[

python-package/xgboost/dask/__init__.py:296

↓ 6 callersMethod__sklearn_tags__

python-package/xgboost/sklearn.py:942

↓ 6 callersFunction_check_rf_callback

( early_stopping_rounds: Optional[int], callbacks: Optional[Sequence[TrainingCallback]], )

python-package/xgboost/sklearn.py:86

↓ 6 callersMethod_configure_fit

Configure parameters for :py:meth:`fit`.

python-package/xgboost/sklearn.py:1173

↓ 6 callersMethod_get_info

python-package/xgboost/core.py:898

↓ 6 callersMethod_get_pred_contrib_col_name

Return the pred_contrib_col col name

python-package/xgboost/spark/core.py:1267

↓ 6 callersFunction_grad_arrinf

(array: NumpyOrCupy, n_samples: int)

python-package/xgboost/objective.py:67

↓ 6 callersFunction_is_connect

(spark_session: SparkSession)

python-package/xgboost/spark/utils.py:125

↓ 6 callersFunction_is_np_array_like

(data: DataType)

python-package/xgboost/data.py:252

↓ 6 callersFunction_lib_name

Return platform dependent shared object name.

python-package/packager/nativelib.py:17

↓ 6 callersFunction_meta_from_numpy

( data: np.ndarray, field: str, dtype: Optional[NumpyDType], handle: ctypes.c_void_p, )

python-package/xgboost/data.py:1534

↓ 6 callersMethod_more_tags

Tags used for scikit-learn data validation.

python-package/xgboost/sklearn.py:910

↓ 6 callersFunction_parse_version

Avoid dependency on packaging (PEP 440).

python-package/xgboost/_c_api.py:97

↓ 6 callersMethod_xgb_cls

python-package/xgboost/spark/core.py:1189

↓ 6 callersFunctionarray_interface_dict

Returns an array interface from the input.

python-package/xgboost/_data_utils.py:424

↓ 6 callersMethodassert_metrics_length

(cv, expected_length)

tests/python/test_early_stopping.py:51

↓ 6 callersMethodbegin

include/xgboost/span.h:708

↓ 6 callersMethodcend

include/xgboost/string_view.h:53

↓ 6 callersFunctioncheck_categorical_missing

Check categorical data with missing values.

python-package/xgboost/testing/updater.py:567

↓ 6 callersFunctioncomp_booster

Compare the results from DMatrix and Booster.

python-package/xgboost/testing/ordinal.py:53

↓ 6 callersMethodcomposeEvalInfo

(String metric, String evalName)

jvm-packages/xgboost4j/src/test/java/ml/dmlc/xgboost4j/java/XGBoostTest.java:29

↓ 6 callersMethoddata

src/common/ref_resource_view.h:75

↓ 6 callersMethodeval_set

Evaluate a set of data. Parameters ---------- evals : List of items to be evaluated. iteration :

python-package/xgboost/core.py:2319

↓ 6 callersFunctionfrom_cstr_to_pystr

Revert C pointer to Python str.

python-package/xgboost/_c_api.py:39

↓ 6 callersMethodgetHandle

jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/DMatrix.java:499

↓ 6 callersMethodget_fscore

Get feature importance of each feature. .. note:: Zero-importance features will not be included Keep in mind that this function d

python-package/xgboost/core.py:2999

↓ 6 callersFunctionget_n_rounds

tests/python/test_model_compatibility.py:68

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