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Functions6,719 in github.com/dmlc/xgboost

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

↓ 787 callersMethodsize

src/common/param_array.h:47

↓ 730 callersMethodsize

include/xgboost/span.h:698

↓ 536 callersMethodget

include/xgboost/intrusive_ptr.h:133

↓ 491 callersMethodInfo

src/objective/regression_loss.h:124

↓ 423 callersMethodbegin

src/common/common.h:166

↓ 394 callersMethodSize

src/common/io.cc:334

↓ 363 callersMethodpredict

Predict with data. The full model will be used unless `iteration_range` is specified, meaning users have to either slice the model or use the

python-package/xgboost/core.py:2404

↓ 359 callersMethodDMatrix

! \brief default constructor */

include/xgboost/data.h:580

↓ 351 callersMethodtrain

Train a booster given parameters. @param dtrain Data to be trained. @param params Parameters. @param round Number of boosting iterations. @param

jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/XGBoost.java:98

↓ 342 callersMethoddata

src/common/hist_util.h:308

↓ 280 callersMethodresize

src/common/device_compression.h:64

↓ 270 callersMethodend

src/common/common.h:167

↓ 265 callersMethodcend

src/common/param_array.h:55

↓ 263 callersMethodc_str

include/xgboost/string_view.h:50

↓ 237 callersMethoddata

Utility function for obtaining current batch of data.

tests/python-gpu/test_from_cudf.py:330

↓ 235 callersMethodcbegin

src/common/param_array.h:54

↓ 207 callersMethodShape

include/xgboost/linalg.h:882

↓ 193 callersMethodDevice

include/xgboost/linalg.h:954

↓ 167 callersMethodConfigure

src/logging.cc:47

↓ 167 callersMethodHostView

src/data/cat_container.cc:283

↓ 164 callersFunctionSuccess

* @brief Return success. */

include/xgboost/collective/result.h:120

↓ 162 callersMethodempty

src/common/param_array.h:46

↓ 157 callersMethodThreads

src/context.cc:265

↓ 152 callersMethodGetHess

include/xgboost/base.h:177

↓ 149 callersFunctionCPU

tests/cpp/common/test_linalg.cc:18

↓ 149 callersMethodData

src/common/io.cc:211

↓ 149 callersMethodDevice

src/common/host_device_vector.cc:85

↓ 141 callersMethodGenerateDMatrix

tests/cpp/helpers.cc:433

↓ 139 callersFunctionGetMetricEval

tests/cpp/helpers.cc:177

↓ 139 callersMethodUpdateAllowUnknown

include/xgboost/context.h:158

↓ 132 callersMethodfit

Fit gradient boosting model. Note that calling ``fit()`` multiple times will cause the model object to be re-fit from scratch. To res

python-package/xgboost/sklearn.py:1270

↓ 123 callersMethodsize

src/data/cat_container.h:38

↓ 121 callersFunctionMakeCUDACtx

* \brief Make a context that uses CUDA if device >= 0. */

tests/cpp/helpers.h:387

↓ 115 callersMethodValues

src/common/quantile.cc:312

↓ 114 callersFunctionSafeColl

src/collective/result.cc:76

↓ 114 callersMethodget_booster

Get the underlying xgboost Booster of this model. This will raise an exception when fit was not called Returns -------

python-package/xgboost/sklearn.py:1002

↓ 109 callersMethodIsCUDA

* @brief Is XGBoost running on a CUDA device? */

include/xgboost/context.h:186

↓ 101 callersMethodfit

( self, X: ArrayLike, y: ArrayLike, *, sample_weight: Optional[ArrayLi

python-package/xgboost/sklearn.py:1721

↓ 100 callersFunctionFail

* @brief Return failure. */

include/xgboost/collective/result.h:124

↓ 99 callersMethodinplace_predict

Run prediction in-place when possible, Unlike :py:meth:`predict` method, inplace prediction does not cache the prediction result. Cal

python-package/xgboost/core.py:2541

↓ 97 callersMethodSlice

src/data/data.cc:404

↓ 96 callersFunction_check_call

Check the return value of C API call.

python-package/xgboost/_c_api.py:187

↓ 93 callersMethodSetParam

src/learner.cc:652

↓ 88 callersMethodGetGrad

include/xgboost/base.h:176

↓ 88 callersMethodget

jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/util/BigDenseMatrix.java:60

↓ 88 callersMethodnum_col

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

python-package/xgboost/core.py:1178

↓ 87 callersFunctionParallelFor

src/common/threading_utils.h:180

↓ 87 callersMethodsubspan

include/xgboost/span.h:703

↓ 86 callersMethodConstHostSpan

include/xgboost/host_device_vector.h:118

↓ 85 callersFunctiontrain

Train a booster with given parameters. Parameters ---------- params : Booster params. dtrain : Data to be trained.

python-package/xgboost/training.py:53

↓ 84 callersMethodnum_row

Get the number of rows in the DMatrix.

python-package/xgboost/core.py:1172

↓ 83 callersMethodLeftChild

src/tree/tree_view.h:111

↓ 83 callersMethodOK

include/xgboost/collective/result.h:87

↓ 82 callersFunctionAssertGPUSupport

src/common/common.h:185

↓ 82 callersMethodSize

src/data/ellpack_page.cc:39

↓ 81 callersMethodevals_result

Return the evaluation results. If **eval_set** is passed to the :py:meth:`fit` function, you can call ``evals_result()`` to get evalu

python-package/xgboost/sklearn.py:1516

↓ 81 callersFunctionfn

(_address: str, *args: _P.args, **kwargs: _P.kwargs)

python-package/xgboost/dask/__init__.py:533

↓ 80 callersMethodget_label

Get the label of the DMatrix.

python-package/xgboost/core.py:1055

↓ 78 callersMethodQuantileDMatrix

jvm-packages/xgboost4j-spark-gpu/src/main/java/ml/dmlc/xgboost4j/java/QuantileDMatrix.java:58

↓ 78 callersMethodupdate

Update for one iteration, with objective function calculated internally. .. warning:: This function should not be called

python-package/xgboost/core.py:2174

↓ 76 callersMethodReshape

include/xgboost/linalg.h:907

↓ 76 callersMethodRightChild

src/tree/tree_view.h:114

↓ 75 callersFunctionAll

* \brief Specify all elements in the axis for slicing. */

include/xgboost/linalg.h:250

↓ 75 callersMethodsave_model

Save the model to a file. The model is saved in an XGBoost internal format which is universal among the various XGBoost interfaces. A

python-package/xgboost/core.py:2768

↓ 74 callersMethodget_dump

Returns the model dump as a list of strings. Unlike :py:meth:`save_model`, the output format is primarily used for visualization or interpret

python-package/xgboost/core.py:2963

↓ 73 callersMethodRank

src/collective/comm.h:81

↓ 70 callersMethodIsCPU

* @brief Is XGBoost running on CPU? */

include/xgboost/context.h:182

↓ 67 callersMethodHostScView

src/tree/tree_model.cc:926

↓ 66 callersFunctionMakeVec

include/xgboost/linalg.h:648

↓ 66 callersMethodSetDevice

src/common/host_device_vector.cc:175

↓ 66 callersMethodsize

Total size of the input array.

python-package/xgboost/_data_utils.py:164

↓ 65 callersMethodWorld

src/collective/comm.h:82

↓ 64 callersMethodStop

src/common/timer.cc:27

↓ 63 callersMethodStart

src/common/timer.cc:16

↓ 63 callersFunctionTestRyu

tests/cpp/common/test_charconv.cc:43

↓ 63 callersMethodset

(long idx, float val)

jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/util/BigDenseMatrix.java:52

↓ 62 callersMethodreset

Reset the booster object to release data caches used for training. .. versionadded:: 3.0.0

python-package/xgboost/core.py:1990

↓ 61 callersMethodUpdateOneIter

src/learner.cc:1108

↓ 61 callersMethodpredict

( self, X: _DataT, *, output_margin: bool = False, validate_features:

python-package/xgboost/dask/__init__.py:1483

↓ 60 callersMethodInit

src/context.cc:223

↓ 60 callersMethodResize

src/common/io.h:340

↓ 60 callersMethodcopy

Copy the booster object. Returns ------- booster : A copied booster model

python-package/xgboost/core.py:1980

↓ 57 callersMethodcheckCall

Check the return code of the JNI call. @throws XGBoostError if the call failed.

jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/XGBoostJNI.java:47

↓ 56 callersMethodCtx

src/gbm/gbtree_model.h:125

↓ 56 callersMethodSetDevice

* \brief Set device ordinal for this tensor. */

include/xgboost/linalg.h:953

↓ 54 callersMethodsize_bytes

src/common/ref_resource_view.h:72

↓ 51 callersMethodSaveModel

src/gbm/gbtree.cc:499

↓ 51 callersMethodSize

src/tree/multi_target_tree_model.cc:381

↓ 50 callersFunctionGetRank

src/collective/comm_group.cc:138

↓ 49 callersMethodExpandNode

src/tree/tree_model.cc:805

↓ 49 callersMethodGetView

include/xgboost/data.h:378

↓ 49 callersMethodView

tests/cpp/encoder/df_mock.h:98

↓ 48 callersMethodset_params

Set the parameters of this estimator. Modification of the sklearn method to allow unknown kwargs. This allows using the full range of xgboost

python-package/xgboost/sklearn.py:1017

↓ 47 callersFunctionGetWorldSize

src/collective/comm_group.cc:140

↓ 47 callersFunctionMakeTensorView

include/xgboost/linalg.h:568

↓ 47 callersMethodwrite

Return the writer for saving the model.

python-package/xgboost/spark/core.py:1218

↓ 45 callersMethodPredict

src/learner.cc:1197

↓ 45 callersMethodSplitIndex

src/tree/tree_view.h:117

↓ 44 callersMethodSaveConfig

src/gbm/gbtree.cc:452

↓ 43 callersMethodSize

src/tree/tree_view.h:140

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