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Functions6,719 in github.com/dmlc/xgboost

↓ 5 callersFunctionTrailingZeroBits
src/common/bitfield.h:262
↓ 5 callersFunctionUnrollGroupWeights
src/common/quantile.h:755
↓ 5 callersMethodUpdatePredictionCache
src/tree/updater_quantile_hist.cc:446
↓ 5 callersFunctionVerifyOnDeviceData
tests/cpp/plugin/sycl_helpers.h:26
↓ 5 callersFunctionVerifySampling
tests/cpp/tree/hist/test_sampler.cc:25
↓ 5 callersFunctionWeightedQuantile
src/common/stats.h:77
↓ 5 callersMethodWriteCache
src/data/sparse_page_source.h:349
↓ 5 callersFunctionXGBGetGlobalConfig
src/c_api/c_api.cc:228
↓ 5 callersFunctionXGBMakeEmptyAltrep
R-package/src/xgboost_R.cc:951
↓ 5 callersFunctionXGBoosterPredictFromDense
src/c_api/c_api.cc:1395
↓ 5 callersFunctionXGDMatrixCreateFromDense
src/c_api/c_api.cc:537
↓ 5 callersMethodXGDMatrixSetInfoFromInterface
( long handle, String field, String json)
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/XGBoostJNI.java:180
↓ 5 callersMethodXGDMatrixSetStrFeatureInfo
Set the feature information @param handle the DMatrix native address @param field "feature_names" or "feature_types" @param values an array of strin
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/XGBoostJNI.java:98
↓ 5 callersMethod__init__
( self, *, max_depth: Optional[int] = None, max_leaves: Optional[int] = None,
python-package/xgboost/sklearn.py:809
↓ 5 callersMethod__init__
( self, xgb_sklearn_model: Optional[XGBModel] = None, training_summary: Optional[XGBoo
python-package/xgboost/spark/core.py:1179
↓ 5 callersFunction_array_impl
(device: Device)
python-package/xgboost/testing/multi_target.py:166
↓ 5 callersMethod_assign_dmatrix_features
(self, data: DMatrix)
python-package/xgboost/core.py:3217
↓ 5 callersFunction_check_data_shape
(data: DataType)
python-package/xgboost/data.py:106
↓ 5 callersFunction_check_outputs
(out: dxgb.TrainReturnT, predictions: np.ndarray)
tests/test_distributed/test_with_dask/test_with_dask.py:728
↓ 5 callersMethod_client_sync
Get the correct client, when method is invoked inside a worker we should use `worker_client' instead of default client.
python-package/xgboost/dask/__init__.py:1560
↓ 5 callersFunction_dmatrix_from_list_of_parts
(is_quantile: bool, **kwargs: Any)
python-package/xgboost/dask/data.py:419
↓ 5 callersMethod_fetch
(self, data: Optional[Sequence[pd.DataFrame]])
python-package/xgboost/spark/data.py:83
↓ 5 callersMethod_get_iteration_range
( self, iteration_range: Optional[IterationRange] )
python-package/xgboost/sklearn.py:1389
↓ 5 callersFunction_is_dlpack
(data: DataType)
python-package/xgboost/data.py:1220
↓ 5 callersFunction_is_local
Whether it is Spark local mode
python-package/xgboost/spark/utils.py:132
↓ 5 callersMethod_set_evaluation_result
(self, evals_result: EvalsLog)
python-package/xgboost/sklearn.py:1265
↓ 5 callersFunction_spark_test_mode
(spark: SparkSession)
tests/test_distributed/test_with_spark/test_spark.py:95
↓ 5 callersFunction_transform_dlpack
(data: DataType)
python-package/xgboost/data.py:1224
↓ 5 callersMethod_validate_params
(self, spark_session: SparkSession)
python-package/xgboost/spark/core.py:406
↓ 5 callersMethodapply
Return the predicted leaf every tree for each sample. If the model is trained with early stopping, then :py:attr:`best_iteration` is used auto
python-package/xgboost/sklearn.py:1479
↓ 5 callersMethodas_arrays
Return concatenated arrays.
python-package/xgboost/testing/data.py:1160
↓ 5 callersFunctionbooster_json
(model: str)
tests/python/generate_models.py:25
↓ 5 callersFunctionbooster_ubj
(model: str)
tests/python/generate_models.py:21
↓ 5 callersFunctionc_array
Convert a python array to c array.
python-package/xgboost/core.py:230
↓ 5 callersMethodcheckCall
(int ret)
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/Communicator.java:55
↓ 5 callersFunctionconcat_or_none
Concatenate the data if it's not None.
python-package/xgboost/spark/data.py:31
↓ 5 callersFunctioncuda_array_interface_dict
Returns a dictionary storing the CUDA array interface.
python-package/xgboost/_data_utils.py:96
↓ 5 callersFunctiondmatrix_from_cudf
Test constructing DMatrix from cudf
tests/python-gpu/test_from_cudf.py:24
↓ 5 callersMethodfrom
Create CudfColumn according to ColumnVector
jvm-packages/xgboost4j-spark-gpu/src/main/java/ml/dmlc/xgboost4j/java/CudfColumn.java:51
↓ 5 callersMethodgetGroup
Get group sizes of DMatrix @return group size as array @throws XGBoostError native error
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/DMatrix.java:311
↓ 5 callersMethodgetPath
(int version)
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/ExternalCheckpointManager.java:59
↓ 5 callersMethodget_group
Get the group of the DMatrix. Returns ------- group
python-package/xgboost/core.py:1067
↓ 5 callersMethodget_num_boosting_rounds
Gets the number of xgboost boosting rounds.
python-package/xgboost/sklearn.py:1102
↓ 5 callersMethodinitializeCudfColumns
(Table table)
jvm-packages/xgboost4j-spark-gpu/src/main/java/ml/dmlc/xgboost4j/java/CudfColumnBatch.java:80
↓ 5 callersFunctionis_pd_sparse_dtype
Wrapper for testing pandas sparse type.
python-package/xgboost/data.py:484
↓ 5 callersFunctionload_pickle
(path: str)
tests/python-gpu/test_gpu_pickling.py:33
↓ 5 callersFunctionpy_str
convert c string back to python string
python-package/xgboost/compat.py:19
↓ 5 callersMethodref
Internal method for retrieving a reference to the training DMatrix.
python-package/xgboost/core.py:1411
↓ 5 callersMethodrend
include/xgboost/string_view.h:63
↓ 5 callersFunctionrun
Run a shell command.
jvm-packages/create_jni.py:27
↓ 5 callersFunctionrun_base_margin_info
Run tests for base margin.
python-package/xgboost/testing/data.py:862
↓ 5 callersFunctionrun_boost_from_prediction_multi_clasas
Boosting from prediction with multi-class clf.
python-package/xgboost/testing/with_skl.py:66
↓ 5 callersMethodsetParams
Set params for the estimator.
python-package/xgboost/spark/core.py:593
↓ 5 callersMethodset_uint_info
Set uint type property into the DMatrix. Parameters ---------- field: str The field name of the information
python-package/xgboost/core.py:962
↓ 5 callersMethodshutdown
Shutdown the communicator in current working thread, equals to finalize. @throws XGBoostError
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/Communicator.java:82
↓ 5 callersMethodsize
src/common/ref_resource_view.h:71
↓ 5 callersMethodswap
* \brief Helper function for swapping 2 pointers. */
include/xgboost/intrusive_ptr.h:144
↓ 5 callersMethodtestWithQuantileHisto
(DMatrix trainingSet, Map<String, DMatrix> watches, int round, Map<Strin
jvm-packages/xgboost4j/src/test/java/ml/dmlc/xgboost4j/java/BoosterImplTest.java:586
↓ 5 callersMethodvalues
()
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/LabeledPoint.java:129
↓ 4 callersMethodAborted
src/collective/nccl_stub.h:86
↓ 4 callersMethodAllgather
src/collective/coll.cc:114
↓ 4 callersMethodAllreduce
src/collective/coll.cc:34
↓ 4 callersFunctionArrayInterface
include/xgboost/linalg.h:690
↓ 4 callersFunctionBatchCats
* @brief Get categories for the current batch. * * @return A host view to the categories */
src/data/proxy_dmatrix.h:268
↓ 4 callersMethodBindHost
* @brief Bind socket to INADDR_ANY, return the port selected by the OS. */
include/xgboost/collective/socket.h:549
↓ 4 callersMethodBuildHistLeftRight
src/tree/hist/histogram.h:390
↓ 4 callersMethodBuildRootHist
src/tree/hist/histogram.h:352
↓ 4 callersFunctionCalcDCGGain
src/common/ranking_utils.h:42
↓ 4 callersMethodCalcFeatureScore
src/learner.cc:1269
↓ 4 callersFunctionCalcStride
include/xgboost/linalg.h:67
↓ 4 callersFunctionCanonicalizeBoosterName
src/learner.cc:337
↓ 4 callersMethodCheckConsistent
include/xgboost/cache.h:69
↓ 4 callersFunctionCheckDevice
tests/cpp/plugin/test_sycl_host_device_vector.cc:48
↓ 4 callersFunctionCheckHost
tests/cpp/plugin/test_sycl_host_device_vector.cc:70
↓ 4 callersFunctionChild
src/collective/topo.h:42
↓ 4 callersMethodClear
src/common/io.h:319
↓ 4 callersMethodClear
! \brief Clear summary contents while keeping allocated storage. */
src/common/quantile.h:71
↓ 4 callersFunctionCoordinateDelta
* \brief Calculate change in weight for a given feature. Applies l1/l2 penalty normalised by the * number of training instances. * * \param
src/linear/coordinate_common.h:44
↓ 4 callersFunctionCopyCatContainer
src/c_api/c_api.cc:744
↓ 4 callersMethodCopyFrom
! * \brief copy content from src * \param src source sketch */
src/common/quantile.h:76
↓ 4 callersFunctionCopyTensorInfoImpl
src/data/data.cc:489
↓ 4 callersFunctionCreateBigTestData
tests/cpp/helpers.cc:55
↓ 4 callersFunctionCreateSimpleTestData
tests/cpp/helpers.cc:53
↓ 4 callersMethodData
include/xgboost/linalg.h:885
↓ 4 callersMethodDefaultLeft
!\return whether missing value goes to left branch */
plugin/sycl/tree/param.h:84
↓ 4 callersMethodDevice
* @brief Get the current device and ordinal. */
include/xgboost/context.h:207
↓ 4 callersMethodDoFill
src/predictor/data_accessor.h:178
↓ 4 callersFunctionElementWiseKernel
src/common/linalg_op.h:76
↓ 4 callersMethodEnd
plugin/sycl/data.h:110
↓ 4 callersMethodEntries
! \brief Return a const span over valid entries [0, Size()). */
src/common/quantile.h:64
↓ 4 callersMethodEntries
src/common/quantile.cc:190
↓ 4 callersMethodEvalOneIter
src/learner.cc:1159
↓ 4 callersFunctionFeatureTypes
tests/cpp/common/test_quantile.h:141
↓ 4 callersMethodFetch
src/data/sparse_page_source.h:582
↓ 4 callersFunctionFstCU
tests/cpp/helpers.h:520
↓ 4 callersMethodFullGradOnly
include/xgboost/gradient.h:39
↓ 4 callersMethodGenerateCSR
tests/cpp/helpers.cc:354
↓ 4 callersFunctionGenerateWeights
tests/cpp/common/test_quantile.h:151
↓ 4 callersFunctionGetDMatrixIntegralInfo
src/c_api/c_api.cc:896
↓ 4 callersMethodGetEvaluator
Get a view to the evaluator that can be passed down to device. */
plugin/sycl/tree/split_evaluator.h:173
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