索引

_

__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)