Index

A

Abs (class in bigdl.nn.layer) AbsCriterion (class in bigdl.nn.criterion) Adadelta (class in bigdl.optim.optimizer) Adagrad (class in bigdl.optim.optimizer) Adam (class in bigdl.optim.optimizer) Adamax (class in bigdl.optim.optimizer)

Add (class in bigdl.nn.layer) add() (bigdl.dataset.base.Progbar method) (bigdl.nn.criterion.MultiCriterion method) (bigdl.nn.criterion.ParallelCriterion method) (bigdl.nn.layer.Container method) AddConstant (class in bigdl.nn.layer)

B

backward() (bigdl.nn.criterion.Criterion method) (bigdl.nn.layer.Layer method) BatchNormalization (class in bigdl.nn.layer) BCECriterion (class in bigdl.nn.criterion) bigdl (module) bigdl.dataset (module) bigdl.dataset.base (module) bigdl.dataset.mnist (module) bigdl.dataset.movielens (module) bigdl.dataset.news20 (module) bigdl.dataset.transformer (module) bigdl.models (module) bigdl.models.lenet (module) bigdl.models.lenet.lenet5 (module) bigdl.nn (module)

bigdl.nn.criterion (module) bigdl.nn.initialization_method (module) bigdl.nn.layer (module) bigdl.optim (module) bigdl.optim.optimizer (module) bigdl.util (module) bigdl.util.common (module) bigdl.util.engine (module) bigdl.version (module) Bilinear (class in bigdl.nn.layer) BilinearFiller (class in bigdl.nn.initialization_method) BinaryTreeLSTM (class in bigdl.nn.layer) BiRecurrent (class in bigdl.nn.layer) Bottle (class in bigdl.nn.layer) build_model() (in module bigdl.models.lenet.lenet5)

C

CAdd (class in bigdl.nn.layer) CAddTable (class in bigdl.nn.layer) callBigDlFunc() (in module bigdl.util.common) callJavaFunc() (in module bigdl.util.common) CDivTable (class in bigdl.nn.layer) check_input() (bigdl.nn.layer.Layer static method) Clamp (class in bigdl.nn.layer) ClassNLLCriterion (class in bigdl.nn.criterion) ClassSimplexCriterion (class in bigdl.nn.criterion) CMaxTable (class in bigdl.nn.layer) CMinTable (class in bigdl.nn.layer) CMul (class in bigdl.nn.layer) CMulTable (class in bigdl.nn.layer) Concat (class in bigdl.nn.layer)

ConcatTable (class in bigdl.nn.layer) ConstInitMethod (class in bigdl.nn.initialization_method) Container (class in bigdl.nn.layer) Contiguous (class in bigdl.nn.layer) convert_output() (bigdl.nn.layer.Layer static method) ConvLSTMPeephole (class in bigdl.nn.layer) Cosine (class in bigdl.nn.layer) CosineDistance (class in bigdl.nn.layer) CosineDistanceCriterion (class in bigdl.nn.criterion) CosineEmbeddingCriterion (class in bigdl.nn.criterion) create_spark_conf() (in module bigdl.util.common) Criterion (class in bigdl.nn.criterion) CrossEntropyCriterion (class in bigdl.nn.criterion) CSubTable (class in bigdl.nn.layer)

D

Default (class in bigdl.optim.optimizer) DiceCoefficientCriterion (class in bigdl.nn.criterion) display_table() (in module bigdl.dataset.base) DistKLDivCriterion (class in bigdl.nn.criterion)

DotProduct (class in bigdl.nn.layer) download_glove_w2v() (in module bigdl.dataset.news20) download_news20() (in module bigdl.dataset.news20) Dropout (class in bigdl.nn.layer)

E

Echo (class in bigdl.nn.layer) element() (bigdl.nn.layer.Node method) ELU (class in bigdl.nn.layer) Euclidean (class in bigdl.nn.layer)

EveryEpoch (class in bigdl.optim.optimizer) Exp (class in bigdl.nn.layer) Exponential (class in bigdl.optim.optimizer) extract_images() (in module bigdl.dataset.mnist) extract_labels() (in module bigdl.dataset.mnist)

F

FlattenTable (class in bigdl.nn.layer) forward() (bigdl.nn.criterion.Criterion method) (bigdl.nn.layer.Layer method)

from_ndarray() (bigdl.util.common.JTensor class method) (bigdl.util.common.Sample class method)

G

get_bigdl_conf() (in module bigdl.util.common) get_creator_class() (bigdl.util.common.JavaCreator class method) get_dtype() (bigdl.nn.layer.Layer method) (in module bigdl.util.common) get_glove_w2v() (in module bigdl.dataset.news20) get_id_pairs() (in module bigdl.dataset.movielens) get_id_ratings() (in module bigdl.dataset.movielens)

get_mnist() (in module bigdl.models.lenet.lenet5) get_news20() (in module bigdl.dataset.news20) get_spark_context() (in module bigdl.util.common) get_spark_sql_context() (in module bigdl.util.common) get_weights() (bigdl.nn.layer.Layer method) GradientReversal (class in bigdl.nn.layer) GRU (class in bigdl.nn.layer)

H

HardShrink (class in bigdl.nn.layer)

HardTanh (class in bigdl.nn.layer) HingeEmbeddingCriterion (class in bigdl.nn.criterion)

I

Identity (class in bigdl.nn.layer) Index (class in bigdl.nn.layer) InferReshape (class in bigdl.nn.layer)

init_engine() (in module bigdl.util.common) InitializationMethod (class in bigdl.nn.initialization_method) Input (class in bigdl.nn.layer) instance() (bigdl.util.common.SingletonMixin class method)

J

JavaCreator (class in bigdl.util.common) JavaValue (class in bigdl.util.common)

JoinTable (class in bigdl.nn.layer) JTensor (class in bigdl.util.common) jvm_class_constructor() (bigdl.util.common.JavaValue method)

L

L1Cost (class in bigdl.nn.criterion) L1HingeEmbeddingCriterion (class in bigdl.nn.criterion) L1L2Regularizer (class in bigdl.optim.optimizer) L1Penalty (class in bigdl.nn.layer) L1Regularizer (class in bigdl.optim.optimizer) L2Regularizer (class in bigdl.optim.optimizer) Layer (class in bigdl.nn.layer) LBFGS (class in bigdl.optim.optimizer) LeakyReLU (class in bigdl.nn.layer) Linear (class in bigdl.nn.layer) load() (bigdl.nn.layer.Model static method)

load_caffe() (bigdl.nn.layer.Model static method) load_caffe_model() (bigdl.nn.layer.Model static method) load_tensorflow() (bigdl.nn.layer.Model static method) load_torch() (bigdl.nn.layer.Model static method) Log (class in bigdl.nn.layer) LogSigmoid (class in bigdl.nn.layer) LogSoftMax (class in bigdl.nn.layer) LookupTable (class in bigdl.nn.layer) Loss (class in bigdl.optim.optimizer) LSTM (class in bigdl.nn.layer) LSTMPeephole (class in bigdl.nn.layer)

M

MAE (class in bigdl.optim.optimizer) MapTable (class in bigdl.nn.layer) MarginCriterion (class in bigdl.nn.criterion) MarginRankingCriterion (class in bigdl.nn.criterion) MaskedSelect (class in bigdl.nn.layer) Max (class in bigdl.nn.layer) MaxEpoch (class in bigdl.optim.optimizer) MaxIteration (class in bigdl.optim.optimizer) MaxScore (class in bigdl.optim.optimizer) maybe_download() (in module bigdl.dataset.base) Mean (class in bigdl.nn.layer) Min (class in bigdl.nn.layer)

MinLoss (class in bigdl.optim.optimizer) MixtureTable (class in bigdl.nn.layer) MM (class in bigdl.nn.layer) Model (class in bigdl.nn.layer) MSECriterion (class in bigdl.nn.criterion) Mul (class in bigdl.nn.layer) MulConstant (class in bigdl.nn.layer) MultiCriterion (class in bigdl.nn.criterion) MultiLabelMarginCriterion (class in bigdl.nn.criterion) MultiLabelSoftMarginCriterion (class in bigdl.nn.criterion) MultiMarginCriterion (class in bigdl.nn.criterion) MultiStep (class in bigdl.optim.optimizer) MV (class in bigdl.nn.layer)

N

name() (bigdl.nn.layer.Layer method) Narrow (class in bigdl.nn.layer) NarrowTable (class in bigdl.nn.layer)

Node (class in bigdl.nn.layer) Normalize (class in bigdl.nn.layer) normalizer() (in module bigdl.dataset.transformer)

O

of() (bigdl.nn.criterion.Criterion class method) (bigdl.nn.layer.Layer class method) (bigdl.nn.layer.Node class method)

Ones (class in bigdl.nn.initialization_method) optimize() (bigdl.optim.optimizer.Optimizer method) Optimizer (class in bigdl.optim.optimizer)

P

Pack (class in bigdl.nn.layer) Padding (class in bigdl.nn.layer) PairwiseDistance (class in bigdl.nn.layer) ParallelCriterion (class in bigdl.nn.criterion) ParallelTable (class in bigdl.nn.layer) parameters() (bigdl.nn.layer.Layer method) Plateau (class in bigdl.optim.optimizer)

Poly (class in bigdl.optim.optimizer) Power (class in bigdl.nn.layer) predict() (bigdl.nn.layer.Layer method) predict_class() (bigdl.nn.layer.Layer method) PReLU (class in bigdl.nn.layer) prepare_env() (in module bigdl.util.engine) prepare_input() (bigdl.optim.optimizer.Optimizer method) Progbar (class in bigdl.dataset.base)

R

RandomNormal (class in bigdl.nn.initialization_method) RandomUniform (class in bigdl.nn.initialization_method) read_data_sets() (in module bigdl.dataset.mnist) (in module bigdl.dataset.movielens) read_scalar() (bigdl.optim.optimizer.TrainSummary method) (bigdl.optim.optimizer.ValidationSummary method) Recurrent (class in bigdl.nn.layer) ReLU (class in bigdl.nn.layer) ReLU6 (class in bigdl.nn.layer)

Replicate (class in bigdl.nn.layer) reset() (bigdl.nn.layer.Layer method) Reshape (class in bigdl.nn.layer) Reverse (class in bigdl.nn.layer) RMSprop (class in bigdl.optim.optimizer) RNG (class in bigdl.util.common) RnnCell (class in bigdl.nn.layer) RoiPooling (class in bigdl.nn.layer) RReLU (class in bigdl.nn.layer)

S

Sample (class in bigdl.util.common) save() (bigdl.nn.layer.Layer method) save_caffe() (bigdl.nn.layer.Layer method) save_tensorflow() (bigdl.nn.layer.Layer method) Scale (class in bigdl.nn.layer) Select (class in bigdl.nn.layer) SelectTable (class in bigdl.nn.layer) Sequential (class in bigdl.nn.layer) set_checkpoint() (bigdl.optim.optimizer.Optimizer method) set_creator_class() (bigdl.util.common.JavaCreator class method) set_init_method() (bigdl.nn.layer.Add method) (bigdl.nn.layer.BatchNormalization method) (bigdl.nn.layer.Bilinear method) (bigdl.nn.layer.CAdd method) (bigdl.nn.layer.CMul method) (bigdl.nn.layer.Cosine method) (bigdl.nn.layer.Euclidean method) (bigdl.nn.layer.Linear method) (bigdl.nn.layer.LookupTable method) (bigdl.nn.layer.Mul method) (bigdl.nn.layer.PReLU method) (bigdl.nn.layer.SpatialBatchNormalization method) (bigdl.nn.layer.SpatialConvolution method) (bigdl.nn.layer.SpatialDilatedConvolution method) (bigdl.nn.layer.SpatialFullConvolution method) (bigdl.nn.layer.SpatialShareConvolution method) (bigdl.nn.layer.TemporalConvolution method) (bigdl.nn.layer.VolumetricConvolution method) set_model() (bigdl.optim.optimizer.Optimizer method) set_name() (bigdl.nn.layer.Layer method) set_seed() (bigdl.nn.layer.Layer method) (bigdl.util.common.RNG method) set_summary_trigger() (bigdl.optim.optimizer.TrainSummary method) set_train_summary() (bigdl.optim.optimizer.Optimizer method) set_val_summary() (bigdl.optim.optimizer.Optimizer method)

set_validation() (bigdl.optim.optimizer.Optimizer method) set_weights() (bigdl.nn.layer.Layer method) setBRegularizer() (bigdl.nn.layer.Layer method) setWRegularizer() (bigdl.nn.layer.Layer method) SeveralIteration (class in bigdl.optim.optimizer) SGD (class in bigdl.optim.optimizer) Sigmoid (class in bigdl.nn.layer) SingletonMixin (class in bigdl.util.common) SmoothL1Criterion (class in bigdl.nn.criterion) SmoothL1CriterionWithWeights (class in bigdl.nn.criterion) SoftMarginCriterion (class in bigdl.nn.criterion) SoftMax (class in bigdl.nn.layer) SoftmaxWithCriterion (class in bigdl.nn.criterion) SoftMin (class in bigdl.nn.layer) SoftPlus (class in bigdl.nn.layer) SoftShrink (class in bigdl.nn.layer) SoftSign (class in bigdl.nn.layer) SpatialAveragePooling (class in bigdl.nn.layer) SpatialBatchNormalization (class in bigdl.nn.layer) SpatialContrastiveNormalization (class in bigdl.nn.layer) SpatialConvolution (class in bigdl.nn.layer) SpatialConvolutionMap (class in bigdl.nn.layer) SpatialCrossMapLRN (class in bigdl.nn.layer) SpatialDilatedConvolution (class in bigdl.nn.layer) SpatialDivisiveNormalization (class in bigdl.nn.layer) SpatialFullConvolution (class in bigdl.nn.layer) SpatialMaxPooling (class in bigdl.nn.layer) SpatialShareConvolution (class in bigdl.nn.layer) SpatialSubtractiveNormalization (class in bigdl.nn.layer) SpatialZeroPadding (class in bigdl.nn.layer) SplitTable (class in bigdl.nn.layer) Sqrt (class in bigdl.nn.layer) Square (class in bigdl.nn.layer) Squeeze (class in bigdl.nn.layer) Step (class in bigdl.optim.optimizer) Sum (class in bigdl.nn.layer)

T

Tanh (class in bigdl.nn.layer) TanhShrink (class in bigdl.nn.layer) TemporalConvolution (class in bigdl.nn.layer) test() (bigdl.nn.layer.Layer method) TestResult (class in bigdl.util.common) Threshold (class in bigdl.nn.layer) TimeDistributed (class in bigdl.nn.layer)

TimeDistributedCriterion (class in bigdl.nn.criterion) to_list() (in module bigdl.util.common) to_ndarray() (bigdl.util.common.JTensor method) Top1Accuracy (class in bigdl.optim.optimizer) Top5Accuracy (class in bigdl.optim.optimizer) TrainSummary (class in bigdl.optim.optimizer) Transpose (class in bigdl.nn.layer) TreeNNAccuracy (class in bigdl.optim.optimizer)

U

uniform() (bigdl.util.common.RNG method) Unsqueeze (class in bigdl.nn.layer)

update() (bigdl.dataset.base.Progbar method) update_parameters() (bigdl.nn.layer.Layer method) urlretrieve() (in module bigdl.dataset.base)

V

ValidationSummary (class in bigdl.optim.optimizer) View (class in bigdl.nn.layer)

VolumetricConvolution (class in bigdl.nn.layer) VolumetricMaxPooling (class in bigdl.nn.layer)

X

Xavier (class in bigdl.nn.initialization_method)

Z

zero_grad_parameters() (bigdl.nn.layer.Layer method)

Zeros (class in bigdl.nn.initialization_method)