DEFAULT_ANGEL_COMPRESS_BYTES
MLConf
DEFAULT_ANGEL_WORKER_THREAD_NUM
MLConf
DEFAULT_KMEANS_C
MLConf
DEFAULT_KMEANS_CENTER_NUM
MLConf
DEFAULT_KMEANS_SILHOUETTE_FLAG
MLConf
DEFAULT_ML_BATCH_SAMPLE_RATIO
MLConf
DEFAULT_ML_BLOCK_SIZE
MLConf
DEFAULT_ML_DATA_HAS_LABEL
MLConf
DEFAULT_ML_DATA_INPUT_FORMAT
MLConf
DEFAULT_ML_DATA_LABEL_TRANS
MLConf
DEFAULT_ML_DATA_LABEL_TRANS_THRESHOLD
MLConf
DEFAULT_ML_DATA_POSNEG_RATIO
MLConf
DEFAULT_ML_DATA_SPLITOR
MLConf
DEFAULT_ML_DATA_USE_SHUFFLE
MLConf
DEFAULT_ML_DECAY_INTERVALS
MLConf
DEFAULT_ML_EMBEDDING_MATRIX_OUTPUT_FORMAT
MLConf
DEFAULT_ML_EMBEDDING_OPTIMIZER
MLConf
DEFAULT_ML_EPOCH_NUM
MLConf
DEFAULT_ML_FCLAYER_MATRIX_OUTPUT_FORMAT
MLConf
DEFAULT_ML_FCLAYER_OPTIMIZER
MLConf
DEFAULT_ML_FEATURE_INDEX_RANGE
MLConf
DEFAULT_ML_FIELD_NUM
MLConf
DEFAULT_ML_GBDT_BATCH_SIZE
MLConf
DEFAULT_ML_GBDT_CATE_FEAT
MLConf
DEFAULT_ML_GBDT_CLASS_NUM
MLConf
DEFAULT_ML_GBDT_EVAL_METRIC
MLConf
DEFAULT_ML_GBDT_FEATURE_SAMPLE_RATIO
MLConf
DEFAULT_ML_GBDT_FEAT_IMPORTANCE_TYPE
MLConf
DEFAULT_ML_GBDT_FULL_HESSIAN
MLConf
DEFAULT_ML_GBDT_HIST_SUBTRACTION
MLConf
DEFAULT_ML_GBDT_LIGHTER_CHILD_FIRST
MLConf
DEFAULT_ML_GBDT_LOSS_FUNCTION
MLConf
DEFAULT_ML_GBDT_MAX_LEAF_WEIGHT
MLConf
DEFAULT_ML_GBDT_MIN_CHILD_WEIGHT
MLConf
DEFAULT_ML_GBDT_MIN_NODE_INSTANCE
MLConf
DEFAULT_ML_GBDT_MIN_SPLIT_GAIN
MLConf
DEFAULT_ML_GBDT_PARALLEL_MODE
MLConf
DEFAULT_ML_GBDT_REG_ALPHA
MLConf
DEFAULT_ML_GBDT_REG_LAMBDA
MLConf
DEFAULT_ML_GBDT_ROW_SAMPLE_RATIO
MLConf
DEFAULT_ML_GBDT_SAMPLE_RATIO
MLConf
DEFAULT_ML_GBDT_SERVER_SPLIT
MLConf
DEFAULT_ML_GBDT_SPLIT_NUM
MLConf
DEFAULT_ML_GBDT_TASK_TYPE
MLConf
DEFAULT_ML_GBDT_THREAD_NUM
MLConf
DEFAULT_ML_GBDT_TREE_DEPTH
MLConf
DEFAULT_ML_GBDT_TREE_NUM
MLConf
DEFAULT_ML_INPUTLAYER_OPTIMIZER
MLConf
DEFAULT_ML_LEARN_DECAY
MLConf
DEFAULT_ML_LEARN_RATE
MLConf
DEFAULT_ML_LOSSFUNCTION_HUBER_DELTA
MLConf
DEFAULT_ML_MATRIX_DOT_USE_PARALLEL_EXECUTOR
MLConf
DEFAULT_ML_MINIBATCH_SIZE
MLConf
DEFAULT_ML_MLR_RANK
MLConf
DEFAULT_ML_MODEL_CLASS_NAME
MLConf
DEFAULT_ML_MODEL_IS_CLASSIFICATION
MLConf
DEFAULT_ML_MODEL_SIZE
MLConf
DEFAULT_ML_MODEL_TYPE
MLConf
DEFAULT_ML_NUM_CLASS
MLConf
DEFAULT_ML_NUM_UPDATE_PER_EPOCH
MLConf
DEFAULT_ML_OPTIMIZER
MLConf
DEFAULT_ML_OPT_ADADELTA_ALPHA
MLConf
DEFAULT_ML_OPT_ADADELTA_BETA
MLConf
DEFAULT_ML_OPT_ADAGRAD_BETA
MLConf
DEFAULT_ML_OPT_ADAM_BETA
MLConf
DEFAULT_ML_OPT_ADAM_GAMMA
MLConf
DEFAULT_ML_OPT_DECAY_ALPHA
MLConf
DEFAULT_ML_OPT_DECAY_BETA
MLConf
DEFAULT_ML_OPT_DECAY_CLASS_NAME
MLConf
DEFAULT_ML_OPT_DECAY_INTERVALS
MLConf
DEFAULT_ML_OPT_DECAY_ON_BATCH
MLConf
DEFAULT_ML_OPT_FTRL_ALPHA
MLConf
DEFAULT_ML_OPT_FTRL_BETA
MLConf
DEFAULT_ML_OPT_MOMENTUM_MOMENTUM
MLConf
DEFAULT_ML_RANK_NUM
MLConf
DEFAULT_ML_REG_L1
MLConf
DEFAULT_ML_REG_L2
MLConf
DEFAULT_ML_ROBUSTREGRESSION_LOSS_DELTA
MLConf
DEFAULT_ML_SIMPLEINPUTLAYER_MATRIX_OUTPUT_FORMAT
MLConf
DEFAULT_ML_VALIDATE_RATIO
MLConf
DOC_NUM
LDAModel
DOC_TOPIC_MAT
LDAModel
DataParams
paramsutils
DataParser
utils
DeepFM
classification
DenseDataParser
utils
Document
algo
DotPooling
join
Dropout
transfunc
DropoutTransFuncParams
paramsutils
DummyDataParser
utils
data
ParamKeys
dataFormat
GraphModel
dataParser
GBDTTrainTask KMeansTrainTask PredictTask TrainTask GraphTrainTask
dec
I2ITranverseMap S2BTightTraverseMap S2BTraverseMap S2ITraverseMap S2STightTraverseMap S2STraverseMap TraverseHashMap
decayAlpha
ParamKeys TrainParams
decayBeta
ParamKeys TrainParams
decayClass
ParamKeys TrainParams
decayOnBatch
GraphLearner
decayer
optimizer
defaultEvalMetric
LossHelper ObjFunc RegLossObj SoftmaxMultiClassObj
defaultLeft
SplitEntry
defaultLossFunc
ParamKeys
defaultOptimizer
ParamKeys
defaultTransFunc
ParamKeys
delta
HuberLossParams ParamKeys
denseModelType
SharedConf
deserialize
HeapQuantileSketch CSRPartUpdateParam PartCSRResult PartColumnResult PartitionGetColsParam PartitionGetColsResult PartitionUpdateColsParam
df
GBDTPredictResult KMeansResult
did
LDAIncTask LDAPredictTask LDATrainTask
dist
KMeansResult
docLLH
LDALearner
docs
LDAIncTask LDAPredictTask LDATrainTask
dotPooling
LayerParams
dropout
ParamKeys TransFuncParams