目录
安装指南
快速入门
Python 快速入门
功能特性
实验
参数
参数调优
C API
Python API
R API
分布式学习指南
GPU 教程
高级主题
常见问题
开发指南
LightGBM
索引
索引
_
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A
|
B
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C
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D
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E
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F
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G
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I
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L
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M
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N
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O
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P
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R
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S
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T
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U
_
__init__() (lightgbm.Booster 方法)
(lightgbm.CVBooster 方法)
(lightgbm.DaskLGBMClassifier 方法)
(lightgbm.DaskLGBMRanker 方法)
(lightgbm.DaskLGBMRegressor 方法)
(lightgbm.Dataset 方法)
(lightgbm.LGBMClassifier 方法)
(lightgbm.LGBMModel 方法)
(lightgbm.LGBMRanker 方法)
(lightgbm.LGBMRegressor 方法)
(lightgbm.Sequence 方法)
A
add_features_from() (lightgbm.Dataset 方法)
add_valid() (lightgbm.Booster 方法)
B
batch_size (lightgbm.Sequence 属性)
best_iteration (lightgbm.CVBooster 属性)
best_iteration_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.DaskLGBMRanker 属性)
(lightgbm.DaskLGBMRegressor 属性)
(lightgbm.LGBMClassifier 属性)
(lightgbm.LGBMModel 属性)
(lightgbm.LGBMRanker 属性)
(lightgbm.LGBMRegressor 属性)
best_score_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.DaskLGBMRanker 属性)
(lightgbm.DaskLGBMRegressor 属性)
(lightgbm.LGBMClassifier 属性)
(lightgbm.LGBMModel 属性)
(lightgbm.LGBMRanker 属性)
(lightgbm.LGBMRegressor 属性)
Booster (lightgbm 类)
booster_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.DaskLGBMRanker 属性)
(lightgbm.DaskLGBMRegressor 属性)
(lightgbm.LGBMClassifier 属性)
(lightgbm.LGBMModel 属性)
(lightgbm.LGBMRanker 属性)
(lightgbm.LGBMRegressor 属性)
BoosterHandle (C 类型)
boosters (lightgbm.CVBooster 属性)
ByteBufferHandle (C 类型)
C
C_API_DTYPE_FLOAT32 (C 宏)
C_API_DTYPE_FLOAT64 (C 宏)
C_API_DTYPE_INT32 (C 宏)
C_API_DTYPE_INT64 (C 宏)
C_API_FEATURE_IMPORTANCE_GAIN (C 宏)
C_API_FEATURE_IMPORTANCE_SPLIT (C 宏)
C_API_MATRIX_TYPE_CSC (C 宏)
C_API_MATRIX_TYPE_CSR (C 宏)
C_API_PREDICT_CONTRIB (C 宏)
C_API_PREDICT_LEAF_INDEX (C 宏)
C_API_PREDICT_NORMAL (C 宏)
C_API_PREDICT_RAW_SCORE (C 宏)
classes_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.LGBMClassifier 属性)
client_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.DaskLGBMRanker 属性)
(lightgbm.DaskLGBMRegressor 属性)
construct() (lightgbm.Dataset 方法)
create_tree_digraph() (在 lightgbm 模块中)
create_valid() (lightgbm.Dataset 方法)
current_iteration() (lightgbm.Booster 方法)
cv() (在 lightgbm 模块中)
CVBooster (lightgbm 类)
D
DaskLGBMClassifier (lightgbm 类)
DaskLGBMRanker (lightgbm 类)
DaskLGBMRegressor (lightgbm 类)
Dataset (lightgbm 类)
DatasetHandle (C 类型)
dump_model() (lightgbm.Booster 方法)
E
early_stopping() (在 lightgbm 模块中)
eval() (lightgbm.Booster 方法)
eval_train() (lightgbm.Booster 方法)
eval_valid() (lightgbm.Booster 方法)
evals_result_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.DaskLGBMRanker 属性)
(lightgbm.DaskLGBMRegressor 属性)
(lightgbm.LGBMClassifier 属性)
(lightgbm.LGBMModel 属性)
(lightgbm.LGBMRanker 属性)
(lightgbm.LGBMRegressor 属性)
F
FastConfigHandle (C 类型)
feature_importance() (lightgbm.Booster 方法)
feature_importances_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.DaskLGBMRanker 属性)
(lightgbm.DaskLGBMRegressor 属性)
(lightgbm.LGBMClassifier 属性)
(lightgbm.LGBMModel 属性)
(lightgbm.LGBMRanker 属性)
(lightgbm.LGBMRegressor 属性)
feature_name() (lightgbm.Booster 方法)
feature_name_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.DaskLGBMRanker 属性)
(lightgbm.DaskLGBMRegressor 属性)
(lightgbm.LGBMClassifier 属性)
(lightgbm.LGBMModel 属性)
(lightgbm.LGBMRanker 属性)
(lightgbm.LGBMRegressor 属性)
feature_names_in_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.DaskLGBMRanker 属性)
(lightgbm.DaskLGBMRegressor 属性)
(lightgbm.LGBMClassifier 属性)
(lightgbm.LGBMModel 属性)
(lightgbm.LGBMRanker 属性)
(lightgbm.LGBMRegressor 属性)
feature_num_bin() (lightgbm.Dataset 方法)
fit() (lightgbm.DaskLGBMClassifier 方法)
(lightgbm.DaskLGBMRanker 方法)
(lightgbm.DaskLGBMRegressor 方法)
(lightgbm.LGBMClassifier 方法)
(lightgbm.LGBMModel 方法)
(lightgbm.LGBMRanker 方法)
(lightgbm.LGBMRegressor 方法)
free_dataset() (lightgbm.Booster 方法)
free_network() (lightgbm.Booster 方法)
G
get_data() (lightgbm.Dataset 方法)
get_feature_name() (lightgbm.Dataset 方法)
get_field() (lightgbm.Dataset 方法)
get_group() (lightgbm.Dataset 方法)
get_init_score() (lightgbm.Dataset 方法)
get_label() (lightgbm.Dataset 方法)
get_leaf_output() (lightgbm.Booster 方法)
get_metadata_routing() (lightgbm.DaskLGBMClassifier 方法)
(lightgbm.DaskLGBMRanker 方法)
(lightgbm.DaskLGBMRegressor 方法)
(lightgbm.LGBMClassifier 方法)
(lightgbm.LGBMModel 方法)
(lightgbm.LGBMRanker 方法)
(lightgbm.LGBMRegressor 方法)
get_params() (lightgbm.DaskLGBMClassifier 方法)
(lightgbm.DaskLGBMRanker 方法)
(lightgbm.DaskLGBMRegressor 方法)
(lightgbm.Dataset 方法)
(lightgbm.LGBMClassifier 方法)
(lightgbm.LGBMModel 方法)
(lightgbm.LGBMRanker 方法)
(lightgbm.LGBMRegressor 方法)
get_position() (lightgbm.Dataset 方法)
get_ref_chain() (lightgbm.Dataset 方法)
get_split_value_histogram() (lightgbm.Booster 方法)
get_weight() (lightgbm.Dataset 方法)
I
INLINE_FUNCTION (C 宏)
L
LastErrorMsg (C 函数)
LGBM_BoosterAddValidData (C 函数)
LGBM_BoosterCalcNumPredict (C 函数)
LGBM_BoosterCreate (C 函数)
LGBM_BoosterCreateFromModelfile (C 函数)
LGBM_BoosterDumpModel (C 函数)
LGBM_BoosterFeatureImportance (C 函数)
LGBM_BoosterFree (C 函数)
LGBM_BoosterFreePredictSparse (C 函数)
LGBM_BoosterGetCurrentIteration (C 函数)
LGBM_BoosterGetEval (C 函数)
LGBM_BoosterGetEvalCounts (C 函数)
LGBM_BoosterGetEvalNames (C 函数)
LGBM_BoosterGetFeatureNames (C 函数)
LGBM_BoosterGetLeafValue (C 函数)
LGBM_BoosterGetLinear (C 函数)
LGBM_BoosterGetLoadedParam (C 函数)
LGBM_BoosterGetLowerBoundValue (C 函数)
LGBM_BoosterGetNumClasses (C 函数)
LGBM_BoosterGetNumFeature (C 函数)
LGBM_BoosterGetNumPredict (C 函数)
LGBM_BoosterGetPredict (C 函数)
LGBM_BoosterGetUpperBoundValue (C 函数)
LGBM_BoosterLoadModelFromString (C 函数)
LGBM_BoosterMerge (C 函数)
LGBM_BoosterNumberOfTotalModel (C 函数)
LGBM_BoosterNumModelPerIteration (C 函数)
LGBM_BoosterPredictForArrow (C 函数)
LGBM_BoosterPredictForCSC (C 函数)
LGBM_BoosterPredictForCSR (C 函数)
LGBM_BoosterPredictForCSRSingleRow (C 函数)
LGBM_BoosterPredictForCSRSingleRowFast (C 函数)
LGBM_BoosterPredictForCSRSingleRowFastInit (C 函数)
LGBM_BoosterPredictForFile (C 函数)
LGBM_BoosterPredictForMat (C 函数)
LGBM_BoosterPredictForMats (C 函数)
LGBM_BoosterPredictForMatSingleRow (C 函数)
LGBM_BoosterPredictForMatSingleRowFast (C 函数)
LGBM_BoosterPredictForMatSingleRowFastInit (C 函数)
LGBM_BoosterPredictSparseOutput (C 函数)
LGBM_BoosterRefit (C 函数)
LGBM_BoosterResetParameter (C 函数)
LGBM_BoosterResetTrainingData (C 函数)
LGBM_BoosterRollbackOneIter (C 函数)
LGBM_BoosterSaveModel (C 函数)
LGBM_BoosterSaveModelToString (C 函数)
LGBM_BoosterSetLeafValue (C 函数)
LGBM_BoosterShuffleModels (C 函数)
LGBM_BoosterUpdateOneIter (C 函数)
LGBM_BoosterUpdateOneIterCustom (C 函数)
LGBM_BoosterValidateFeatureNames (C 函数)
LGBM_ByteBufferFree (C 函数)
LGBM_ByteBufferGetAt (C 函数)
LGBM_DatasetAddFeaturesFrom (C 函数)
LGBM_DatasetCreateByReference (C 函数)
LGBM_DatasetCreateFromArrow (C 函数)
LGBM_DatasetCreateFromCSC (C 函数)
LGBM_DatasetCreateFromCSR (C 函数)
LGBM_DatasetCreateFromCSRFunc (C 函数)
LGBM_DatasetCreateFromFile (C 函数)
LGBM_DatasetCreateFromMat (C 函数)
LGBM_DatasetCreateFromMats (C 函数)
LGBM_DatasetCreateFromSampledColumn (C 函数)
LGBM_DatasetCreateFromSerializedReference (C 函数)
LGBM_DatasetDumpText (C 函数)
LGBM_DatasetFree (C 函数)
LGBM_DatasetGetFeatureNames (C 函数)
LGBM_DatasetGetFeatureNumBin (C 函数)
LGBM_DatasetGetField (C 函数)
LGBM_DatasetGetNumData (C 函数)
LGBM_DatasetGetNumFeature (C 函数)
LGBM_DatasetGetSubset (C 函数)
LGBM_DatasetInitStreaming (C 函数)
LGBM_DatasetMarkFinished (C 函数)
LGBM_DatasetPushRows (C 函数)
LGBM_DatasetPushRowsByCSR (C 函数)
LGBM_DatasetPushRowsByCSRWithMetadata (C 函数)
LGBM_DatasetPushRowsWithMetadata (C 函数)
LGBM_DatasetSaveBinary (C 函数)
LGBM_DatasetSerializeReferenceToBinary (C 函数)
LGBM_DatasetSetFeatureNames (C 函数)
LGBM_DatasetSetField (C 函数)
LGBM_DatasetSetFieldFromArrow (C 函数)
LGBM_DatasetSetWaitForManualFinish (C 函数)
LGBM_DatasetUpdateParamChecking (C 函数)
LGBM_DumpParamAliases (C 函数)
LGBM_FastConfigFree (C 函数)
LGBM_GetLastError (C 函数)
LGBM_GetMaxThreads (C 函数)
LGBM_GetSampleCount (C 函数)
LGBM_NetworkFree (C 函数)
LGBM_NetworkInit (C 函数)
LGBM_NetworkInitWithFunctions (C 函数)
LGBM_RegisterLogCallback (C 函数)
LGBM_SampleIndices (C 函数)
LGBM_SetLastError (C 函数)
LGBM_SetMaxThreads (C 函数)
LGBMClassifier (lightgbm 类)
LGBMModel (lightgbm 类)
LGBMRanker (lightgbm 类)
LGBMRegressor (lightgbm 类)
log_evaluation() (在 lightgbm 模块中)
lower_bound() (lightgbm.Booster 方法)
M
model_from_string() (lightgbm.Booster 方法)
(lightgbm.CVBooster 方法)
model_to_string() (lightgbm.Booster 方法)
(lightgbm.CVBooster 方法)
N
n_classes_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.LGBMClassifier 属性)
n_estimators_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.DaskLGBMRanker 属性)
(lightgbm.DaskLGBMRegressor 属性)
(lightgbm.LGBMClassifier 属性)
(lightgbm.LGBMModel 属性)
(lightgbm.LGBMRanker 属性)
(lightgbm.LGBMRegressor 属性)
n_features_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.DaskLGBMRanker 属性)
(lightgbm.DaskLGBMRegressor 属性)
(lightgbm.LGBMClassifier 属性)
(lightgbm.LGBMModel 属性)
(lightgbm.LGBMRanker 属性)
(lightgbm.LGBMRegressor 属性)
n_features_in_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.DaskLGBMRanker 属性)
(lightgbm.DaskLGBMRegressor 属性)
(lightgbm.LGBMClassifier 属性)
(lightgbm.LGBMModel 属性)
(lightgbm.LGBMRanker 属性)
(lightgbm.LGBMRegressor 属性)
n_iter_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.DaskLGBMRanker 属性)
(lightgbm.DaskLGBMRegressor 属性)
(lightgbm.LGBMClassifier 属性)
(lightgbm.LGBMModel 属性)
(lightgbm.LGBMRanker 属性)
(lightgbm.LGBMRegressor 属性)
num_data() (lightgbm.Dataset 方法)
num_feature() (lightgbm.Booster 方法)
(lightgbm.Dataset 方法)
num_model_per_iteration() (lightgbm.Booster 方法)
num_trees() (lightgbm.Booster 方法)
O
objective_ (lightgbm.DaskLGBMClassifier 属性)
(lightgbm.DaskLGBMRanker 属性)
(lightgbm.DaskLGBMRegressor 属性)
(lightgbm.LGBMClassifier 属性)
(lightgbm.LGBMModel 属性)
(lightgbm.LGBMRanker 属性)
(lightgbm.LGBMRegressor 属性)
P
plot_importance() (在 lightgbm 模块中)
plot_metric() (在 lightgbm 模块中)
plot_split_value_histogram() (在 lightgbm 模块中)
plot_tree() (在 lightgbm 模块中)
predict() (lightgbm.Booster 方法)
(lightgbm.DaskLGBMClassifier 方法)
(lightgbm.DaskLGBMRanker 方法)
(lightgbm.DaskLGBMRegressor 方法)
(lightgbm.LGBMClassifier 方法)
(lightgbm.LGBMModel 方法)
(lightgbm.LGBMRanker 方法)
(lightgbm.LGBMRegressor 方法)
predict_proba() (lightgbm.DaskLGBMClassifier 方法)
(lightgbm.LGBMClassifier 方法)
R
record_evaluation() (在 lightgbm 模块中)
refit() (lightgbm.Booster 方法)
register_logger() (在 lightgbm 模块中)
reset_parameter() (在 lightgbm 模块中)
(lightgbm.Booster 方法)
rollback_one_iter() (lightgbm.Booster 方法)
S
save_binary() (lightgbm.Dataset 方法)
save_model() (lightgbm.Booster 方法)
(lightgbm.CVBooster 方法)
score() (lightgbm.DaskLGBMClassifier 方法)
(lightgbm.DaskLGBMRegressor 方法)
(lightgbm.LGBMClassifier 方法)
(lightgbm.LGBMRegressor 方法)
Sequence (lightgbm 类)
set_categorical_feature() (lightgbm.Dataset 方法)
set_feature_name() (lightgbm.Dataset 方法)
set_field() (lightgbm.Dataset 方法)
set_fit_request() (lightgbm.DaskLGBMClassifier 方法)
(lightgbm.DaskLGBMRanker 方法)
(lightgbm.DaskLGBMRegressor 方法)
(lightgbm.LGBMClassifier 方法)
(lightgbm.LGBMModel 方法)
(lightgbm.LGBMRanker 方法)
(lightgbm.LGBMRegressor 方法)
set_group() (lightgbm.Dataset 方法)
set_init_score() (lightgbm.Dataset 方法)
set_label() (lightgbm.Dataset 方法)
set_leaf_output() (lightgbm.Booster 方法)
set_network() (lightgbm.Booster 方法)
set_params() (lightgbm.DaskLGBMClassifier 方法)
(lightgbm.DaskLGBMRanker 方法)
(lightgbm.DaskLGBMRegressor 方法)
(lightgbm.LGBMClassifier 方法)
(lightgbm.LGBMModel 方法)
(lightgbm.LGBMRanker 方法)
(lightgbm.LGBMRegressor 方法)
set_position() (lightgbm.Dataset 方法)
set_predict_proba_request() (lightgbm.DaskLGBMClassifier 方法)
(lightgbm.LGBMClassifier 方法)
set_predict_request() (lightgbm.DaskLGBMClassifier 方法)
(lightgbm.DaskLGBMRanker 方法)
(lightgbm.DaskLGBMRegressor 方法)
(lightgbm.LGBMClassifier 方法)
(lightgbm.LGBMModel 方法)
(lightgbm.LGBMRanker 方法)
(lightgbm.LGBMRegressor 方法)
set_reference() (lightgbm.Dataset 方法)
set_score_request() (lightgbm.DaskLGBMClassifier 方法)
(lightgbm.DaskLGBMRegressor 方法)
(lightgbm.LGBMClassifier 方法)
(lightgbm.LGBMRegressor 方法)
set_train_data_name() (lightgbm.Booster 方法)
set_weight() (lightgbm.Dataset 方法)
shuffle_models() (lightgbm.Booster 方法)
subset() (lightgbm.Dataset 方法)
T
THREAD_LOCAL (C 宏)
to_local() (lightgbm.DaskLGBMClassifier 方法)
(lightgbm.DaskLGBMRanker 方法)
(lightgbm.DaskLGBMRegressor 方法)
train() (在 lightgbm 模块中)
trees_to_dataframe() (lightgbm.Booster 方法)
U
update() (lightgbm.Booster 方法)
upper_bound() (lightgbm.Booster 方法)