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) batchSize (bigdl.models.ml_pipeline.dl_classifier.HasBatchSize attribute) BCECriterion (class in bigdl.nn.criterion) BifurcateSplitTable (class in bigdl.nn.layer) 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.models.ml_pipeline (module)

bigdl.models.ml_pipeline.dl_classifier (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) check_spark_source_conflict() (in module bigdl.util.engine) 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) compare_version() (in module bigdl.util.engine)

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) ConvLSTMPeephole3D (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) DenseToSparse (class in bigdl.nn.layer) DiceCoefficientCriterion (class in bigdl.nn.criterion) display_table() (in module bigdl.dataset.base) DistKLDivCriterion (class in bigdl.nn.criterion) DLClassifier (class in bigdl.models.ml_pipeline.dl_classifier)

DLClassifierModel (class in bigdl.models.ml_pipeline.dl_classifier) DLEstimator (class in bigdl.models.ml_pipeline.dl_classifier) DLModel (class in bigdl.models.ml_pipeline.dl_classifier) 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) evaluate() (bigdl.nn.layer.Layer method) EvaluatedResult (class in bigdl.util.common)

EveryEpoch (class in bigdl.optim.optimizer) exist_pyspark() (in module bigdl.util.engine) Exp (class in bigdl.nn.layer) Exponential (class in bigdl.optim.optimizer) extend_spark_driver_cp() (in module bigdl.util.common) extract_images() (in module bigdl.dataset.mnist) extract_labels() (in module bigdl.dataset.mnist)

F

featureSize (bigdl.models.ml_pipeline.dl_classifier.HasFeatureSize attribute) FlattenTable (class in bigdl.nn.layer) forward() (bigdl.nn.criterion.Criterion method) (bigdl.nn.layer.Layer method)

freeze() (bigdl.nn.layer.Layer method) from_jtensor() (bigdl.util.common.Sample class method) from_ndarray() (bigdl.util.common.JTensor class method) (bigdl.util.common.Sample class method)

G

GaussianCriterion (class in bigdl.nn.criterion) GaussianSampler (class in bigdl.nn.layer) get_bigdl_classpath() (in module bigdl.util.engine) 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_hidden_state() (bigdl.nn.layer.Recurrent method) 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) getBatchSize() (bigdl.models.ml_pipeline.dl_classifier.HasBatchSize method) getFeatureSize() (bigdl.models.ml_pipeline.dl_classifier.HasFeatureSize method) getLearningRate() (bigdl.models.ml_pipeline.dl_classifier.HasLearningRate method) getMaxEpoch() (bigdl.models.ml_pipeline.dl_classifier.HasMaxEpoch 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) HasBatchSize (class in bigdl.models.ml_pipeline.dl_classifier)

HasFeatureSize (class in bigdl.models.ml_pipeline.dl_classifier) HasLearningRate (class in bigdl.models.ml_pipeline.dl_classifier) HasMaxEpoch (class in bigdl.models.ml_pipeline.dl_classifier) 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) is_spark_below_2_2() (in module bigdl.util.engine) is_training() (bigdl.nn.layer.Layer 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)

K

KLDCriterion (class in bigdl.nn.criterion)

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) learningRate (bigdl.models.ml_pipeline.dl_classifier.HasLearningRate attribute) Linear (class in bigdl.nn.layer) load() (bigdl.nn.layer.Model static method) (bigdl.optim.optimizer.OptimMethod 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) loadModel() (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 (bigdl.models.ml_pipeline.dl_classifier.HasMaxEpoch attribute) 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)

Negative (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.models.ml_pipeline.dl_classifier.DLClassifierModel class method) (bigdl.models.ml_pipeline.dl_classifier.DLModel class method) (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) OptimMethod (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)

Q

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

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) RecurrentDecoder (class in bigdl.nn.layer) redire_spark_logs() (in module bigdl.util.common) 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) ResizeBilinear (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) (bigdl.optim.optimizer.OptimMethod method) save_caffe() (bigdl.nn.layer.Layer method) save_graph_topology() (bigdl.nn.layer.Model method) save_tensorflow() (bigdl.nn.layer.Layer method) saveModel() (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_hidden_state() (bigdl.nn.layer.Recurrent 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.SparseLinear 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) (bigdl.nn.layer.VolumetricFullConvolution 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) (bigdl.nn.layer.SpatialAveragePooling method)

setBatchSize() (bigdl.models.ml_pipeline.dl_classifier.HasBatchSize method) setBRegularizer() (bigdl.nn.layer.Layer method) setFeatureSize() (bigdl.models.ml_pipeline.dl_classifier.HasFeatureSize method) setLearningRate() (bigdl.models.ml_pipeline.dl_classifier.HasLearningRate method) setMaxEpoch() (bigdl.models.ml_pipeline.dl_classifier.HasMaxEpoch method) setWRegularizer() (bigdl.nn.layer.Layer method) SeveralIteration (class in bigdl.optim.optimizer) SGD (class in bigdl.optim.optimizer) show_bigdl_info_logs() (in module bigdl.util.common) 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) sparse() (bigdl.util.common.JTensor class method) SparseJoinTable (class in bigdl.nn.layer) SparseLinear (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) SpatialWithinChannelLRN (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) stop_gradient() (bigdl.nn.layer.Model method) 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) TemporalMaxPooling (class in bigdl.nn.layer) 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) train() (bigdl.nn.layer.Model static method) training() (bigdl.nn.layer.Layer method) TrainSummary (class in bigdl.optim.optimizer) Transpose (class in bigdl.nn.layer) TreeNNAccuracy (class in bigdl.optim.optimizer)

U

unfreeze() (bigdl.nn.layer.Layer method) 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) VolumetricFullConvolution (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)