L2Loss
loss
LDAIncTask
lda
LDALearner
lda
LDAModel
lda
LDAPredictTask
lda
LDARunner
lda
LDATrainTask
lda
LOG
GBDTLearner GBDTModel GBDTRunner KMeansLearner SharedConf GraphLearner GraphRunner GraphTrainTask AngelGraph TimeStats ConcatLayer DotPooling MulPooling SumPooling BiInnerCross BiInnerSumCross BiInteractionCross BiOutterCross FCLayer Embedding SimpleInputLayer SimpleLossLayer HDFSUtils LDALearner LDAModel LDAPredictTask LDARunner
LOG_LIKELIHOOD
MLConf
Layer
layers
LayerParams
paramsutils
LibSVMDataParser
utils
LikelihoodFunc
psf
LikelihoodParam
psf
LinearLayer
layers
LinearRegression
regression
LogErrorMetric
metric
LogLoss
loss
LogLossMetric
metric
LogisticRegression
classification
Loss
objective
LossFunc
loss
LossFuncParams
paramsutils
LossHelper
objective
LossLayer
layers
LossLayerParams
paramsutils
label
GBDTPredictResult KMeansResult GraphPredictResult SoftmaxPredictResult
labelErrorMsg
LossHelper
layer
ParamKeys
layerType
CrossLayerParams EmbeddingParams FCLayerParams InputLayerParams JoinLayerParams LayerParams LossLayerParams
layers
network ParamKeys
lcCenters
KMeansModel
lcV
KMeansModel
lda
ml
learningRate
SharedConf
len
Document
lgammaAlpha
LDALearner
lgammaAlphaSum
LDALearner
lgammaBeta
LDALearner
likelihood
LDALearner
linear
layers
loadModel
GraphModel AngelGraph LDAModel LDAPredictTask
loadParams
Trainable FCLayer Embedding SimpleInputLayer
loadPath
ModelParams ParamKeys
loss
SimpleLossLayer optimizer CrossEntropyLoss HingeLoss HuberLoss L2Loss LogLoss LossFunc SoftmaxLoss
lossFunc
DeepFM FactorizationMachines LogisticRegression MixedLogisticRegression NeuralFactorizationMachines ProductNeuralNetwork SoftmaxRegression SupportVectorMachine WideAndDeep GraphModel LossLayerParams ParamKeys LinearRegression RobustRegression
lr
Optimizer AdaDeltaParams AdaGradParams AdamParams FTRLParams MomentumParams OptParams ParamKeys TrainParams
lr0
GraphLearner