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User Guide
Developer Guide
API REFERENCE:
Config
XGBoost
LightGBM
LightGBM.input_type
LightGBM.load_other_parameter()
LightGBM.load_state_dict()
LightGBM.to()
LightGBM.type
AbstractRecommender
AutoEncoderMixin
ContextRecommender
GeneralRecommender
KnowledgeRecommender
SequentialRecommender
xavier_normal_initialization()
xavier_uniform_initialization()
AttLayer
BaseFactorizationMachine
BiGNNLayer
CNNLayers
ContextSeqEmbAbstractLayer
ContextSeqEmbLayer
Dice
FLEmbedding
FMEmbedding
FMFirstOrderLinear
FeatureSeqEmbLayer
FeedForward
ItemToInterestAggregation
LightMultiHeadAttention
LightTransformerEncoder
LightTransformerLayer
MLPLayers
MultiHeadAttention
SequenceAttLayer
SparseDropout
TransformerEncoder
TransformerLayer
VanillaAttention
activation_layer()
BPRLoss
EmbLoss
EmbMarginLoss
RegLoss
load_data_and_model()
objective_function()
run()
run_recbole()
run_recboles()
AbstractSampler
KGSampler
RepeatableSampler
Sampler
SeqSampler
ExhaustiveSearchError
HyperTuning
exhaustive_search()
AbstractTrainer
DecisionTreeTrainer
KGATTrainer
KGTrainer
LightGBMTrainer
MKRTrainer
NCLTrainer
PretrainTrainer
RaCTTrainer
RecVAETrainer
S3RecTrainer
TraditionalTrainer
Trainer
XGBoostTrainer
full_sort_scores()
full_sort_topk()
EvaluatorType
FeatureSource
FeatureType
InputType
KGDataLoaderState
ModelType
RemoveColorFilter
init_logger()
set_color()
calculate_valid_score()
dict2str()
early_stopping()
ensure_dir()
get_environment()
get_flops()
get_gpu_usage()
get_local_time()
get_model()
get_tensorboard()
get_trainer()
init_seed()
list_to_latex()
Bases: Booster
Booster
LightGBM is inherited from lgb.Booster
Load other parameters
Load state dictionary
model_file (str) – file path of saved model