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Functions6,719 in github.com/dmlc/xgboost

⨍ Functions 6,719◇ Types & classes 1,105↳ Endpoints 5
↓ 3 callersFunction_from_scipy_csr
Initialize data from a CSR matrix.
python-package/xgboost/data.py:155
↓ 3 callersFunction_meta_from_pandas_df
( data: DataType, name: str, dtype: Optional[NumpyDType], handle: ctypes.c_void_p, )
python-package/xgboost/data.py:679
↓ 3 callersFunction_read_csr_matrix_from_unwrapped_spark_vec
(part: pd.DataFrame)
python-package/xgboost/spark/data.py:116
↓ 3 callersFunction_run_predt
( device: Device, DMatrixT: Type, pred_contribs: bool, pred_interactions: bool, pred_leaf:
python-package/xgboost/testing/ordinal.py:496
↓ 3 callersFunction_set_pyspark_xgb_cls_param_attrs
This function automatically infer to xgboost parameters and set them into corresponding pyspark estimators and models
python-package/xgboost/spark/estimator.py:24
↓ 3 callersFunction_spark_test_device
(spark: SparkSession)
tests/test_distributed/test_with_spark/test_spark.py:99
↓ 3 callersFunction_transform_cudf_df
( data: DataType, feature_names: Optional[FeatureNames], feature_types: Optional[Union[FeatureType
python-package/xgboost/data.py:1074
↓ 3 callersFunction_transform_polars_df
( data: DataType, enable_categorical: bool, feature_names: Optional[FeatureNames], feature_typ
python-package/xgboost/data.py:952
↓ 3 callersMethod_xgb_cls
(cls)
python-package/xgboost/spark/estimator.py:586
↓ 3 callersMethodbegin
src/common/hist_util.h:324
↓ 3 callersFunctionbuild_info
Build information of XGBoost. The returned value format is not stable. Also, please note that build time dependency is not the same as runtime de
python-package/xgboost/core.py:173
↓ 3 callersFunctionbuild_rpackage
(path: str)
ops/script/test_r_package.py:83
↓ 3 callersMethodcheck_output
(output: str)
tests/python/test_callback.py:49
↓ 3 callersMethodclose
()
jvm-packages/xgboost4j-spark-gpu/src/main/java/ml/dmlc/xgboost4j/java/CudfColumnBatch.java:140
↓ 3 callersMethodclose
()
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/Column.java:30
↓ 3 callersFunctioncopy_file
Copy a file to a target path or directory.
jvm-packages/create_jni.py:39
↓ 3 callersFunctioncopyfile
(src: str, dst: str)
ops/script/pypi_variants.py:22
↓ 3 callersMethodcrbegin
include/xgboost/string_view.h:60
↓ 3 callersMethoddata
Utility function for obtaining current batch of data.
python-package/xgboost/dask/data.py:82
↓ 3 callersMethoddispose
()
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/DMatrix.java:508
↓ 3 callersFunctionenc_transform
(X: pd.DataFrame)
demo/guide-python/cat_pipeline.py:71
↓ 3 callersMethodend
src/common/row_set.h:62
↓ 3 callersMethodeval
(float[][] predicts, DMatrix dmat)
jvm-packages/xgboost4j-example/src/main/java/ml/dmlc/xgboost4j/java/example/util/CustomEval.java:40
↓ 3 callersMethodfit
( self, X: ArrayLike, y: ArrayLike, *, sample_weight: Optional[ArrayLi
python-package/xgboost/sklearn.py:2059
↓ 3 callersMethodfree
Internal function for testing.
python-package/xgboost/tracker.py:110
↓ 3 callersFunctionfrom_pystr_to_cstr
(data: str)
python-package/xgboost/_c_api.py:19
↓ 3 callersMethodgetExistingVersions
()
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/ExternalCheckpointManager.java:63
↓ 3 callersMethodgetFeatureWeightsFromModel
Get the importance of each feature based purely on weights (number of splits) @return featureScoreMap key: feature index, value: feature importance s
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/Booster.java:705
↓ 3 callersMethodgetFloatInfo
(String field)
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/DMatrix.java:335
↓ 3 callersMethodgetGlobalConfig
Get the global configuration
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/ConfigContext.java:53
↓ 3 callersMethodgetLibraryPathFor
If a library-specific system property is set, this value is being used without further processing. Otherwise, the library path depends on the OS and a
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/NativeLibLoader.java:133
↓ 3 callersMethodgetNumFeature
Get number of model features. @return the number of features. @throws XGBoostError
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/Booster.java:842
↓ 3 callersMethodgetPlatformFor
(OS os, Arch arch)
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/NativeLibLoader.java:304
↓ 3 callersMethodgetQuantileCut
Get the Quantile Cut. @return QuantileCut @throws XGBoostError
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/DMatrix.java:551
↓ 3 callersMethodgetWeight
get weight of the DMatrix @return weights @throws XGBoostError native error
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/DMatrix.java:384
↓ 3 callersMethodget_callbacks
Get callback functions for iterating in C. This is an internal function.
python-package/xgboost/core.py:356
↓ 3 callersFunctionget_client_workers
Get workers from a dask client.
python-package/xgboost/testing/dask.py:185
↓ 3 callersFunctionget_current_use_rmm_flag
()
tests/python/test_config.py:24
↓ 3 callersFunctionget_current_verbosity
()
tests/python/test_config.py:11
↓ 3 callersMethodget_external_dmat
(self)
python-package/xgboost/testing/__init__.py:290
↓ 3 callersFunctionget_mingw_bin
()
ops/script/test_r_package.py:19
↓ 3 callersMethodget_num_boosting_rounds
(self)
python-package/xgboost/dask/__init__.py:2140
↓ 3 callersFunctionget_ref_categories
Get the optional reference categories from the `feature_types`. This is used by various `DMatrix` where the `feature_types` is reused for specifyi
python-package/xgboost/_data_utils.py:659
↓ 3 callersFunctionget_tm
(clf: xgb.XGBClassifier)
tests/python/test_with_sklearn.py:765
↓ 3 callersMethodhasNext
()
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/DataBatch.java:52
↓ 3 callersFunctionimport_polars
Import polars with memory cache.
python-package/xgboost/compat.py:138
↓ 3 callersMethodindices
()
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/LabeledPoint.java:128
↓ 3 callersMethodinit
Internal initialization function. @param cacheMats The cached DMatrix. @throws XGBoostError
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/Booster.java:858
↓ 3 callersMethodis_leaf
Whether a node is leaf.
demo/guide-python/model_parser.py:104
↓ 3 callersFunctionis_on_cuda
Whether the data is a CUDA-based data structure.
python-package/xgboost/data.py:1699
↓ 3 callersFunctionis_pandas_available
Check the pandas package is available or not.
python-package/xgboost/compat.py:146
↓ 3 callersFunctionis_readthedocs_build
Return whether this is a Read the Docs build.
doc/conf.py:214
↓ 3 callersFunctionis_scipy_csr
Predicate for scipy CSR input.
python-package/xgboost/data.py:111
↓ 3 callersMethodloadModel
Load a new Booster model from modelPath @param modelPath model path @return The created Booster. @throws XGBoostError
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/Booster.java:79
↓ 3 callersMethodloadSVMFile
(String filePath)
jvm-packages/xgboost4j-example/src/main/java/ml/dmlc/xgboost4j/java/example/util/DataLoader.java:82
↓ 3 callersFunctionmake
(values: Dict[str, List[np.ndarray]], kwargs: Dict[str, Any])
python-package/xgboost/spark/data.py:260
↓ 3 callersFunctionmake_qdm
Handle empty partition for QuantileDMatrix.
python-package/xgboost/spark/data.py:159
↓ 3 callersFunctionmaybe_makedirs
(path)
dev/prepare_jvm_release.py:61
↓ 3 callersFunctionnormpath
(path: str)
python-package/xgboost/testing/__init__.py:729
↓ 3 callersFunctionnp_dtypes
Enumerate all supported dtypes from numpy.
python-package/xgboost/testing/data.py:49
↓ 3 callersFunctionpaginate_request
(url, callback)
dev/query_contributors.py:23
↓ 3 callersMethodread
(Kryo kryo, Input input)
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/Booster.java:933
↓ 3 callersMethodreraise
Reraise the exception thrown during iteration.
python-package/xgboost/core.py:388
↓ 3 callersFunctionrun_basic_predict
Enable tests with mixed devices.
python-package/xgboost/testing/ordinal.py:322
↓ 3 callersFunctionrun_categorical
( client: "Client", tree_method: str, device: str, X: dd.DataFrame, X_onehot: dd.DataFrame
tests/test_distributed/test_with_dask/test_with_dask.py:193
↓ 3 callersFunctionrun_dask_classifier
( X: dxgb._DataT, y: dxgb._DaskCollection, w: dxgb._DaskCollection, model: str, tree_metho
tests/test_distributed/test_with_dask/test_with_dask.py:584
↓ 3 callersFunctionrun_empty_dmatrix_reg
(client: "Client", parameters: dict)
tests/test_distributed/test_with_dask/test_with_dask.py:727
↓ 3 callersFunctionrun_predict_leaf
Run tests for leaf index prediction.
python-package/xgboost/testing/predict.py:16
↓ 3 callersMethodrun_shap
( self, X: Any, y: Any, params: Dict[str, Any], client: "Client" )
tests/test_distributed/test_with_dask/test_with_dask.py:1787
↓ 3 callersMethodsetBaseMargin
Set base margin of DMatrix from array interface @param column the XGBoost Column to provide the array interface of base margin column @
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/DMatrix.java:423
↓ 3 callersMethodsetQueryId
Set query id of DMatrix from array interface @param column the XGBoost Column to provide the array interface of query id column @throws
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/DMatrix.java:230
↓ 3 callersMethodsetWeight
Set weight of DMatrix from array interface @param column the XGBoost Column to provide the array interface of weight column @throws XGB
jvm-packages/xgboost4j/src/main/java/ml/dmlc/xgboost4j/java/DMatrix.java:395
↓ 3 callersFunctionset_param_attrs
(attr_name: str, param: Param)
python-package/xgboost/spark/estimator.py:41
↓ 3 callersMethodset_params
(self, params_in: Dict[str, Any])
python-package/xgboost/testing/__init__.py:264
↓ 3 callersMethodsize
NOLINT
src/common/threading_utils.h:339
↓ 3 callersMethodsize
src/common/device_compression.h:74
↓ 3 callersFunctionsort_ltr_samples
Sort data based on query index and position.
python-package/xgboost/testing/data.py:813
↓ 3 callersFunctionto_cp
(x: Any, DMatrixT: Type)
tests/test_distributed/test_gpu_with_dask/test_gpu_with_dask.py:145
↓ 3 callersFunctiontrain
(booster: str, forest: Optional[int])
tests/python/test_with_sklearn.py:109
↓ 3 callersMethodtrees_to_dataframe
Parse a boosted tree model text dump into a pandas DataFrame structure. This feature is only defined when the decision tree model is chosen a
python-package/xgboost/core.py:3082
↓ 3 callersMethodupdate
"Update the boosters for one iteration
python-package/xgboost/training.py:230
↓ 3 callersMethodupdate_worker_args
Worker side arguments resolution.
python-package/xgboost/collective.py:75
↓ 2 callersMethodAcc
src/common/ranking_utils.h:451
↓ 2 callersMethodAddHistRows
plugin/sycl/tree/hist_row_adder.h:28
↓ 2 callersFunctionAllgather
src/c_api/coll_c_api.cc:49
↓ 2 callersFunctionAllgatherColumnSplit
src/tree/hist/evaluate_splits.h:39
↓ 2 callersMethodAllocNode
allocate a new node, !!!!!! NOTE: may cause BUG here, nodes.resize
include/xgboost/tree_model.h:579
↓ 2 callersMethodApplySampling
src/tree/hist/sampler.cc:239
↓ 2 callersFunctionApproxFeatureImportance
src/predictor/interpretability/shap.h:62
↓ 2 callersFunctionArgSort
src/encoder/ordinal.h:208
↓ 2 callersMethodArrayInterfaceImpl
tests/cpp/helpers.cc:269
↓ 2 callersFunctionAssertSameOnAllWorkers
tests/cpp/common/test_quantile.cc:67
↓ 2 callersMethodAssign
src/collective/in_memory_handler.h:36
↓ 2 callersFunctionAssignColumnBinIndex
src/data/gradient_index.h:304
↓ 2 callersFunctionBinaryAUC
src/metric/auc.cc:35
↓ 2 callersFunctionBinaryPRAUC
* \brief PR-AUC for binary classification. * * https://doi.org/10.1371/journal.pone.0092209 */
src/metric/auc.cc:189
↓ 2 callersMethodBoostedRounds
src/learner.cc:1230
↓ 2 callersMethodBootstrap
src/collective/tracker.cc:143
↓ 2 callersFunctionBroadcastTree
Binomial tree broadcast using a fixed tree rooted at rank 0.
src/collective/broadcast.cc:18
↓ 2 callersMethodBuildHist
Main entry point of this class, build histogram for tree nodes. */
src/tree/hist/histogram.h:150
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