twodlearn
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Twodlearn API
twodlearn
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_
_assert_initialized (twodlearn.optimv2.BaseOptimizer attribute)
(twodlearn.optimv2.Optimizer attribute)
_linop (twodlearn.convnet.Conv1x1Proj attribute)
A
A (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.MarginalOutput attribute)
accuracy (twodlearn.losses.ClassificationLoss attribute)
,
[1]
Acrobot (class in twodlearn.reinforce.systems)
AcrobotEnv (class in twodlearn.reinforce.models.acrobot_bullet)
AcrobotRobot (class in twodlearn.reinforce.models.acrobot_bullet)
activation (twodlearn.bayesnet.bayesnet.DenseBernoulliLayer attribute)
(twodlearn.bayesnet.bayesnet.DenseNormalLayer attribute)
(twodlearn.convnet.Conv1x1Proj attribute)
,
[1]
(twodlearn.feedforward.DenseLayer attribute)
,
[1]
activation() (twodlearn.feedforward.DenseLayer.Output property)
active_monitors() (twodlearn.monitoring.MonitorManager property)
add() (twodlearn.feedforward.MlpNet method)
(twodlearn.feedforward.StackedModel method)
(twodlearn.parallel.ParallelLayers method)
(twodlearn.stacked.StackedLayers method)
(twodlearn.stacked.StackedModel method)
add_autoinit_class() (in module twodlearn.core.context)
add_checkpoint (twodlearn.optim.EarlyStopping attribute)
add_checkpoint() (twodlearn.optim.SimpleSaver method)
add_diagonal_shift() (in module twodlearn.core.array)
add_init_descriptor() (in module twodlearn.core.common)
add_monitor() (twodlearn.monitoring.MonitorManager method)
add_noise() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup method)
(twodlearn.Autoencoder.StackedAutoencoderNet method)
(twodlearn.DBM.StackedAutoencoderNet method)
add_record() (twodlearn.datasets.tsdataset.TSDataset method)
add_tdl_descriptor() (in module twodlearn.core.common)
add_weight() (twodlearn.core.common.TdlModel method)
(twodlearn.core.layers.Layer method)
AddLoss (class in twodlearn.losses)
AddNLosses (class in twodlearn.losses)
affine (twodlearn.bayesnet.bayesnet.AffineBernoulliLayer.Output attribute)
(twodlearn.bayesnet.bayesnet.LinearNormalLayer.Output attribute)
affine() (twodlearn.feedforward.DenseLayer.Output property)
AffineBernoulliLayer (class in twodlearn.bayesnet.bayesnet)
AffineBernoulliLayer.Output (class in twodlearn.bayesnet.bayesnet)
AffineLayer (class in twodlearn.feedforward)
AffineLayer.Output (class in twodlearn.feedforward)
AffineNormalLayer (class in twodlearn.bayesnet.bayesnet)
AffineNormalLayer.Output (class in twodlearn.bayesnet.bayesnet)
afunction (twodlearn.recurrent.LstmCellOptimized attribute)
,
[1]
afunction() (twodlearn.recurrent.MlpNarx property)
AlexNet (class in twodlearn.feedforward)
AlexNet.AlexNetSetup (class in twodlearn.feedforward)
AlexNetClassifier (class in twodlearn.feedforward)
(class in twodlearn.templates.supervised)
AlexNetClassifier.AlexNetOutput (class in twodlearn.feedforward)
AlexnetLayer (class in twodlearn.feedforward)
AlexnetLayer.AlexnetLayerSetup (class in twodlearn.feedforward)
alpha() (twodlearn.losses.EmpiricalWithRegularization property)
(twodlearn.losses.ScaledLoss property)
any_initialized() (in module twodlearn.core.common)
append() (twodlearn.datasets.base.StackedMapper method)
apply_action() (twodlearn.reinforce.models.acrobot_bullet.AcrobotRobot method)
(twodlearn.reinforce.models.cartpole_bullet.CartpoleRobot method)
ArgumentNotProvided
as_array() (twodlearn.datasets.tsdataset.TSDataset method)
asarray() (twodlearn.core.array.Np2dMesh property)
asmesh() (twodlearn.core.array.Np2dMesh property)
assert_any_available() (in module twodlearn.core.common)
assert_initialized() (in module twodlearn.core.common)
assert_initialized_if_available() (in module twodlearn.core.common)
AsynchronousRecord (class in twodlearn.datasets.tsdataset)
AutoConstant (class in twodlearn.core.autoinit)
AutoConstantVariable (class in twodlearn.core.autoinit)
AutoencoderClassifierNet (class in twodlearn.Autoencoder)
AutoencoderClassifierNet.AutoencoderClassifierNetSetup (class in twodlearn.Autoencoder)
AutoencoderNet (class in twodlearn.Autoencoder)
AutoencoderNet.AutoencoderNetSetup (class in twodlearn.Autoencoder)
AutoencoderNetConf (class in twodlearn.Autoencoder)
(class in twodlearn.DBM)
AutoInit (class in twodlearn.core.autoinit)
autoinit() (twodlearn.core.common.LazzyProperty method)
(twodlearn.core.common.MethodInit method)
(twodlearn.core.common.SubmodelInit method)
(twodlearn.core.common.TdlDescriptor method)
AutoInitFailed
AutoinitType (class in twodlearn.core.autoinit)
AutoNormalVar (class in twodlearn.core.autoinit)
AutoPlaceholder (class in twodlearn.core.autoinit)
AutoTensor (class in twodlearn.core.autoinit)
AutoTrainable (class in twodlearn.core.autoinit)
AutoVariable (class in twodlearn.core.autoinit)
AutoZeros (class in twodlearn.core.autoinit)
axis() (twodlearn.feedforward.Concat property)
B
base (twodlearn.bayesnet.bayesnet.Particles attribute)
base_shape() (twodlearn.bayesnet.bayesnet.Particles property)
BaseCell (class in twodlearn.recurrent)
BaseOptimizer (class in twodlearn.optimv2)
basis (twodlearn.bayesnet.gaussian_process.ExplicitVGP attribute)
(twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.EGpOutput attribute)
(twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.MarginalOutput attribute)
(twodlearn.bayesnet.linear.VLinear attribute)
,
[1]
basis() (twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPInference property)
basis_dim (twodlearn.bayesnet.linear.VLinear attribute)
,
[1]
basis_fn() (twodlearn.bayesnet.gaussian_process.BasisBase method)
basis_m (twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPInference attribute)
basis_shape (twodlearn.bayesnet.gaussian_process.BasisBase attribute)
basis_x (twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPInference attribute)
(twodlearn.bayesnet.linear.VLinear.VLinearTransform attribute)
basis_x() (twodlearn.bayesnet.linear.VLinear.VLinearELBO property)
BasisBase (class in twodlearn.bayesnet.gaussian_process)
BasisBase.Basis (class in twodlearn.bayesnet.gaussian_process)
batch_eval() (twodlearn.kernels.GaussianKernel method)
batch_shape (twodlearn.bayesnet.bayesnet.NormalModel attribute)
,
[1]
(twodlearn.bayesnet.distributions.MVN attribute)
(twodlearn.bayesnet.gaussian_process.ExplicitVGP attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP attribute)
(twodlearn.bayesnet.linear.VLinear attribute)
,
[1]
(twodlearn.linalg.PDMatrix attribute)
,
[1]
(twodlearn.linalg.PDMatrixDiag attribute)
(twodlearn.linalg.PDScaledIdentity attribute)
batch_shape() (twodlearn.linalg.DynamicScaledIdentity property)
batch_size (twodlearn.bayesnet.gaussian_process.ExplicitVGP.VariationalLoss attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo attribute)
(twodlearn.bayesnet.linear.VLinear.VLinearELBO attribute)
(twodlearn.recurrent.Mlp2Lstm.Mlp2LstmOutput attribute)
batch_size() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
BatchGenerator (class in twodlearn.datasets.Batch_generator)
BayesianMlp (class in twodlearn.bayesnet.bayesnet)
BayesianMlp.BayesMlpOutput (class in twodlearn.bayesnet.bayesnet)
BayesNarx (class in twodlearn.bayesnet.recurrent)
BayesNarx.McRnnOutput (class in twodlearn.bayesnet.recurrent)
BayesNarx.RnnOutput (class in twodlearn.bayesnet.recurrent)
bernoulli_sample_tf() (in module twodlearn.DBM)
BernoulliBayesianMlp (class in twodlearn.bayesnet.bayesnet)
beta_mean (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.EGpOutput attribute)
beta_r (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.EGpOutput attribute)
bias (twodlearn.bayesnet.bayesnet.AffineNormalLayer attribute)
(twodlearn.convnet.Conv1x1Proj attribute)
,
[1]
(twodlearn.convnet.Conv2DLayer attribute)
,
[1]
(twodlearn.convnet.Conv2DTranspose attribute)
(twodlearn.feedforward.AffineLayer attribute)
,
[1]
(twodlearn.feedforward.AlexnetLayer attribute)
(twodlearn.feedforward.DenseLayer attribute)
bias() (twodlearn.feedforward.AffineLayer.Output property)
(twodlearn.feedforward.AlexnetLayer.AlexnetLayerSetup property)
BoundedBayesianMlp (class in twodlearn.bayesnet.bayesnet)
BoundedBernoulliBayesianMlp (class in twodlearn.bayesnet.bayesnet)
BoundedOutput (class in twodlearn.feedforward)
BoundedOutput.Output (class in twodlearn.feedforward)
BoundedVariable (class in twodlearn.constrained)
(class in twodlearn.core.common)
build() (in module twodlearn.core.common)
(twodlearn.bayesnet.bayesnet.NormalModel method)
(twodlearn.core.layers.Layer method)
(twodlearn.parallel.ParallelLayers method)
(twodlearn.recurrent.BaseCell method)
(twodlearn.stacked.StackedLayers method)
build_graph() (twodlearn.templates.recurrent.Mlp2LstmEstimator method)
C
calc_done() (twodlearn.reinforce.models.bullet_env.SingleRobotBulletEnv method)
calc_reward() (twodlearn.reinforce.models.bullet_env.SingleRobotBulletEnv method)
calc_state() (twodlearn.reinforce.models.acrobot_bullet.AcrobotRobot method)
(twodlearn.reinforce.models.cartpole_bullet.CartpoleRobot method)
call() (twodlearn.bayesnet.bayesnet.LinearNormalLayer method)
(twodlearn.bayesnet.bayesnet.McNormalEstimate method)
(twodlearn.bayesnet.bayesnet.NormalModel method)
(twodlearn.bayesnet.bayesnet.ParticlesLayer method)
(twodlearn.bayesnet.bayesnet.SampleLayer method)
(twodlearn.convnet.Conv1x1Proj method)
(twodlearn.convnet.Conv2DLayer method)
(twodlearn.convnet.Conv2DTranspose method)
(twodlearn.core.common.OptionalPropertyWrapper method)
(twodlearn.feedforward.LinearLayer method)
(twodlearn.normalizer.NormalizeLayer method)
(twodlearn.parallel.ParallelLayers method)
(twodlearn.recurrent.BaseCell method)
(twodlearn.stacked.StackedLayers method)
call_cell() (twodlearn.recurrent.BaseCell method)
(twodlearn.recurrent.StateSpaceCell method)
camera_adjust() (twodlearn.reinforce.models.bullet_env.SingleRobotBulletEnv method)
Cartpole (class in twodlearn.reinforce.systems)
CartpoleEnv (class in twodlearn.reinforce.models.cartpole_bullet)
CartpoleRobot (class in twodlearn.reinforce.models.cartpole_bullet)
cell (twodlearn.recurrent.Narx attribute)
(twodlearn.recurrent.Rnn attribute)
(twodlearn.recurrent.SimpleRnn attribute)
CellModel (twodlearn.recurrent.MlpNarx attribute)
check_defaults() (in module twodlearn.core.common)
check_greather() (twodlearn.optim.EarlyStopping method)
check_lower (twodlearn.optim.EarlyStopping attribute)
check_nan (twodlearn.optimv2.CheckNan attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
check_nan() (twodlearn.optim.OptimizationManager method)
(twodlearn.optim.Optimizer method)
check_progress() (twodlearn.optim.EarlyStopping method)
(twodlearn.optim.OptimizationManager method)
(twodlearn.optim.Optimizer method)
CheckNan (class in twodlearn.optimv2)
Checkpointable (class in twodlearn.optimv2)
CheckpointableProgress (class in twodlearn.optimv2)
checkpoints (twodlearn.optimv2.Checkpointable attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
checkpoints() (twodlearn.optim.EarlyStopping property)
(twodlearn.optim.EarlyStoppingV2 property)
(twodlearn.optim.SimpleSaver property)
CheckProgress (class in twodlearn.optimv2)
Cholesky (class in twodlearn.linalg)
cholesky (twodlearn.linalg.PDMatrix attribute)
,
[1]
(twodlearn.linalg.PDMatrixDiag attribute)
(twodlearn.linalg.PDScaledIdentity attribute)
Cifar10 (class in twodlearn.datasets.cifar10)
Cifar10Supervised (class in twodlearn.templates.mnist.supervised)
Cifar10TestMlp (class in twodlearn.templates.mnist.supervised)
ClassificationLoss (class in twodlearn.losses)
cleanup() (twodlearn.optimv2.BaseOptimizer method)
(twodlearn.optimv2.Monitor method)
(twodlearn.optimv2.Optimizer method)
(twodlearn.optimv2.Saver method)
(twodlearn.optimv2.StatusBar method)
clear() (twodlearn.monitoring.PerformanceSaver method)
close() (twodlearn.monitoring.MonitorManager method)
(twodlearn.monitoring.TrainingMonitorManager method)
(twodlearn.reinforce.modelica.modelica_env.ModelicaEnv method)
collapse() (twodlearn.datasets.tsdataset.AsynchronousRecord method)
columns (twodlearn.datasets.unbalanced.DfUnbalancedDataset attribute)
columns() (twodlearn.datasets.tsdataset.Record property)
(twodlearn.datasets.tsdataset.TSDataset property)
compute_fans() (in module twodlearn.core.initializers)
compute_output_loss() (twodlearn.Autoencoder.StackedAutoencoderNet method)
(twodlearn.DBM.StackedAutoencoderNet method)
compute_output_shape() (twodlearn.bayesnet.bayesnet.ParticlesLayer method)
(twodlearn.convnet.Conv1x1Proj method)
(twodlearn.convnet.Conv2DLayer method)
(twodlearn.convnet.Conv2DTranspose method)
(twodlearn.feedforward.LinearLayer method)
(twodlearn.parallel.ParallelLayers method)
(twodlearn.stacked.StackedLayers method)
compute_pred_loss() (twodlearn.Autoencoder.StackedAutoencoderNet method)
(twodlearn.DBM.StackedAutoencoderNet method)
Concat (class in twodlearn.feedforward)
ConcatOnes (class in twodlearn.kernels)
ConcatOnes.ConcatOnesBasis (class in twodlearn.kernels)
ConditionalNormal (class in twodlearn.bayesnet.bayesnet)
ConditionalNormal.NormalOutput (class in twodlearn.bayesnet.bayesnet)
ConstantLr (class in twodlearn.optim)
(class in twodlearn.optimv2)
ConstrainedVariable (class in twodlearn.constrained)
(class in twodlearn.core.common)
contractive_loss() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
conv (twodlearn.feedforward.AlexNet attribute)
(twodlearn.feedforward.AlexNet.AlexNetSetup attribute)
Conv1x1Proj (class in twodlearn.convnet)
Conv2DLayer (class in twodlearn.convnet)
Conv2DTranspose (class in twodlearn.convnet)
conv_output_length() (in module twodlearn.convnet)
convert_loss_to_tensor() (in module twodlearn.losses)
convert_output_to_tensor() (in module twodlearn.core.common)
convert_variable_to_tensor() (in module twodlearn.core.common)
copy() (twodlearn.datasets.tsdataset.Record method)
correct_prediction (twodlearn.losses.ClassificationLoss attribute)
,
[1]
cov_residuals (twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPInference attribute)
covariance (twodlearn.bayesnet.distributions.MVN attribute)
(twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPPrediction attribute)
(twodlearn.bayesnet.gaussian_process.GaussianProcess.GPPosterior attribute)
(twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.EGPPosterior attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPEstimate attribute)
(twodlearn.bayesnet.linear.VLinear.VLinearTransform attribute)
create_init_docstring() (in module twodlearn.core.common)
create_single_player_scene() (twodlearn.reinforce.models.bullet_env.SingleRobotBulletEnv method)
cross_entropy (twodlearn.losses.ClassificationLoss attribute)
,
[1]
Cstr (class in twodlearn.reinforce.systems)
cummulative_n_samples() (twodlearn.datasets.tsdataset.TSDataset method)
(twodlearn.datasets.tsdataset.TSDataset.Cursor property)
current_step() (twodlearn.monitoring.TrainingMonitor property)
current_value() (twodlearn.monitoring.TrainingMonitor property)
D
data() (twodlearn.datasets.tsdataset.AsynchronousRecord property)
(twodlearn.datasets.tsdataset.Record property)
(twodlearn.datasets.tsdataset.RecordSaveData property)
(twodlearn.monitoring.TrainingMonitor property)
DataFeeder (class in twodlearn.optim)
Dataset (class in twodlearn.datasets.base)
DataSet (class in twodlearn.datasets.cifar10)
(class in twodlearn.datasets.mnist)
dataset() (twodlearn.datasets.base.Dataset.Iloc property)
(twodlearn.templates.supervised.Supervised property)
Dataset.Iloc (class in twodlearn.datasets.base)
dataset_size (twodlearn.bayesnet.gaussian_process.ExplicitVGP.VariationalLoss attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo attribute)
(twodlearn.bayesnet.linear.VLinear.VLinearELBO attribute)
Datasets (class in twodlearn.datasets.base)
datasets() (twodlearn.datasets.unbalanced.UnbalancedDataset property)
DatasetsSaver (class in twodlearn.datasets.tsdataset)
debug_func() (in module twodlearn.debug)
decoder() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
default_init() (twodlearn.core.common.UnsetProperty method)
default_options() (twodlearn.templates.supervised.MlModel class method)
(twodlearn.templates.supervised.Supervised class method)
define_cell() (twodlearn.recurrent.Lstm method)
(twodlearn.recurrent.MlpNarx method)
(twodlearn.recurrent.Narx method)
(twodlearn.recurrent.Rnn method)
define_classifier() (twodlearn.Autoencoder.AutoencoderClassifierNet method)
define_decoder() (twodlearn.Autoencoder.AutoencoderNet method)
define_decoder_forward() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup method)
define_encoder() (twodlearn.Autoencoder.AutoencoderNet method)
define_encoder_forward() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup method)
define_fit_loss() (twodlearn.bayesnet.bayesnet.GaussianNegLogLikelihood method)
(twodlearn.bayesnet.gaussian_process.GPNegLogEvidence method)
(twodlearn.losses.L2Loss method)
define_fullyconnected_layers() (twodlearn.Autoencoder.TransposedMlpNet method)
define_loss() (twodlearn.losses.L1Regularizer method)
(twodlearn.losses.L2Regularizer method)
define_opt() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup method)
define_output_layer() (twodlearn.Autoencoder.TransposedMlpNet method)
define_reconstruction_loss() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup method)
define_regularizer() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup method)
define_supervised_loss() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup method)
denormalize() (twodlearn.datasets.base.MaxMinNormalizer method)
(twodlearn.datasets.base.Normalizer method)
(twodlearn.normalizer.Normalizer method)
dense_to_one_hot() (in module twodlearn.datasets.base)
(in module twodlearn.datasets.cifar10)
DenseBernoulliLayer (class in twodlearn.bayesnet.bayesnet)
DenseBernoulliLayer.Output (class in twodlearn.bayesnet.bayesnet)
DenseCell (class in twodlearn.recurrent)
DenseLayer (class in twodlearn.feedforward)
DenseLayer.Output (class in twodlearn.feedforward)
DenseNormalLayer (class in twodlearn.bayesnet.bayesnet)
DenseNormalLayer.Output (class in twodlearn.bayesnet.bayesnet)
DfDataset (class in twodlearn.datasets.base)
DfUnbalancedDataset (class in twodlearn.datasets.unbalanced)
diag (twodlearn.bayesnet.distributions.MVNDiag attribute)
diag_to_zero() (twodlearn.unsupervised.Tsne static method)
diagonal_M_times_Mt() (in module twodlearn.linalg)
dict_to_xarray() (in module twodlearn.utils.xarray)
dilation_rate (twodlearn.convnet.Conv2DLayer attribute)
,
[1]
(twodlearn.convnet.Conv2DTranspose attribute)
disable_autoinit() (in module twodlearn.core.context)
DisableAutoinit (class in twodlearn.core.context)
distribution (twodlearn.bayesnet.bayesnet.McSample attribute)
(twodlearn.bayesnet.bayesnet.SampleLayer attribute)
,
[1]
distribution_a (twodlearn.bayesnet.losses.KLDivergence attribute)
distribution_b (twodlearn.bayesnet.losses.KLDivergence attribute)
do_render() (twodlearn.reinforce.modelica.modelica_env.SignalRender method)
(twodlearn.reinforce.modelica.modelica_env.StateRender method)
(twodlearn.reinforce.systems.System method)
domain_dimension (twodlearn.linalg.PDMatrix attribute)
,
[1]
(twodlearn.linalg.PDMatrixDiag attribute)
(twodlearn.linalg.PDScaledIdentity attribute)
,
[1]
DropoutMlpCell (class in twodlearn.bayesnet.recurrent)
dt() (twodlearn.reinforce.modelica.modelica_env.ModelicaEnv property)
(twodlearn.reinforce.models.bullet_env.SingleRobotBulletEnv property)
(twodlearn.reinforce.systems.System property)
dtypes (twodlearn.datasets.unbalanced.DfUnbalancedDataset attribute)
dtypes() (twodlearn.datasets.tsdataset.TSDataset property)
dynamic_batch_shape (twodlearn.bayesnet.distributions.MVN attribute)
dynamic_event_shape (twodlearn.bayesnet.distributions.MVN attribute)
dynamic_shape (twodlearn.bayesnet.distributions.MVN attribute)
DynamicScaledIdentity (class in twodlearn.linalg)
dz() (twodlearn.bayesnet.recurrent.GaussianMlpCell.Output property)
E
EagerMethod (class in twodlearn.core.common)
EarlyStopping (class in twodlearn.optim)
EarlyStoppingV2 (class in twodlearn.optim)
elbo (twodlearn.bayesnet.gaussian_process.ExplicitVGP.VariationalLoss attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo attribute)
empirical() (twodlearn.losses.EmpiricalWithRegularization property)
EmpiricalLoss (class in twodlearn.losses)
EmpiricalLossWrapper (class in twodlearn.losses)
EmpiricalWithRegularization (class in twodlearn.losses)
enable_autoinit() (in module twodlearn.core.context)
encapsulate_op (class in twodlearn.core.common)
EncapsulatedMethod (class in twodlearn.core.common)
EncapsulatedMethod.MethodData (class in twodlearn.core.common)
encoder (twodlearn.recurrent.Lstm2Lstm attribute)
encoder() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
(twodlearn.recurrent.Lstm2Lstm.Output property)
end_time() (twodlearn.datasets.tsdataset.AsynchronousRecord property)
(twodlearn.datasets.tsdataset.Record property)
Entropy (class in twodlearn.bayesnet.bayesnet)
EnvClass() (twodlearn.reinforce.systems.System property)
epochs_completed (twodlearn.datasets.base.Dataset attribute)
epochs_completed() (twodlearn.datasets.cifar10.DataSet property)
eval() (twodlearn.core.common.EagerMethod method)
(twodlearn.core.common.EncapsulatedMethod method)
(twodlearn.core.common.MethodInit method)
(twodlearn.core.common.OutputModel method)
eval_layer() (twodlearn.feedforward.AlexnetLayer.AlexnetLayerSetup method)
evaluate() (twodlearn.bayesnet.bayesnet.BayesianMlp method)
(twodlearn.bayesnet.bayesnet.GaussianKL method)
(twodlearn.bayesnet.bayesnet.Normal method)
(twodlearn.bayesnet.recurrent.GaussianMlpCell method)
(twodlearn.bayesnet.recurrent.GaussianMlpCell.Output method)
(twodlearn.bayesnet.recurrent.NormalNarxCell method)
(twodlearn.core.common.Identity method)
(twodlearn.feedforward.AlexNet method)
(twodlearn.feedforward.AlexNetClassifier method)
(twodlearn.feedforward.AlexnetLayer method)
(twodlearn.feedforward.BoundedOutput method)
(twodlearn.feedforward.Concat method)
(twodlearn.feedforward.LinearClassifier method)
(twodlearn.feedforward.MlpClassifier method)
(twodlearn.feedforward.MlpNet method)
(twodlearn.feedforward.ParallelModel method)
(twodlearn.feedforward.StackedModel method)
(twodlearn.GMM.GmmLayer method)
(twodlearn.GMM.GmmModel method)
(twodlearn.GMM.GmmParamsLayer method)
(twodlearn.GMM.GmmSBoundedLayer method)
(twodlearn.kernels.ConcatOnes method)
(twodlearn.kernels.ConcatOnes.ConcatOnesBasis method)
(twodlearn.kernels.GaussianKernel method)
(twodlearn.kernels.QuadraticFeatures method)
(twodlearn.recurrent.LstmCellOptimized method)
(twodlearn.recurrent.Mlp2Lstm method)
(twodlearn.recurrent.MultilayerLstmCell method)
(twodlearn.recurrent.Rnn method)
(twodlearn.recurrent.SimpleRnn method)
(twodlearn.stacked.StackedModel method)
evaluate_cd_step() (twodlearn.DBM.RBM method)
evaluate_h_given_x() (twodlearn.DBM.RBM method)
evaluate_x_given_h() (twodlearn.DBM.RBM method)
event_shape (twodlearn.bayesnet.distributions.MVN attribute)
EVGPEstimator (class in twodlearn.templates.bayesnet)
expand_dims_left() (in module twodlearn.core.array)
expand_dims_left_like() (in module twodlearn.core.array)
expected_log_likelihood (twodlearn.bayesnet.linear.VLinear.VLinearELBO attribute)
expected_residuals (twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPInference attribute)
explicit_basis (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean attribute)
explicit_call_wrapper() (in module twodlearn.recurrent)
ExplicitGpEstimator (class in twodlearn.templates.bayesnet)
ExplicitVGP (class in twodlearn.bayesnet.gaussian_process)
ExplicitVGP.EVGPInference (class in twodlearn.bayesnet.gaussian_process)
ExplicitVGP.EVGPPrediction (class in twodlearn.bayesnet.gaussian_process)
ExplicitVGP.VariationalLoss (class in twodlearn.bayesnet.gaussian_process)
F
f_scale (twodlearn.kernels.GaussianKernel attribute)
,
[1]
feature_ndims (twodlearn.kernels.GaussianKernel attribute)
,
[1]
feed() (twodlearn.monitoring.MonitorManager method)
(twodlearn.monitoring.TrainingMonitor method)
feed_dict (twodlearn.optimv2.BaseOptimizer attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
feed_train() (twodlearn.optim.DataFeeder method)
(twodlearn.optim.Optimizer method)
(twodlearn.templates.mnist.supervised.Cifar10Supervised method)
(twodlearn.templates.mnist.supervised.SimpleMnistSupervised method)
(twodlearn.templates.supervised.Supervised method)
feed_valid (twodlearn.optimv2.Monitor attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
feed_valid() (twodlearn.optim.DataFeeder method)
(twodlearn.templates.mnist.supervised.Cifar10Supervised method)
(twodlearn.templates.mnist.supervised.SimpleMnistSupervised method)
(twodlearn.templates.supervised.Supervised method)
filename (twodlearn.datasets.cifar10.Cifar10 attribute)
(twodlearn.datasets.cyber.Kdd99Test attribute)
(twodlearn.datasets.cyber.Kdd99Train attribute)
(twodlearn.datasets.cyber.NslKddTest attribute)
(twodlearn.datasets.cyber.NslKddTrain attribute)
(twodlearn.datasets.mnist.MnistDataset attribute)
filter_by_size() (twodlearn.datasets.unbalanced.DfUnbalancedDataset method)
(twodlearn.datasets.unbalanced.UnbalancedDataset method)
filter_size() (twodlearn.feedforward.AlexnetLayer property)
filter_sizes() (twodlearn.feedforward.MultiLayer2DConvolution property)
filtered_target (twodlearn.optimv2.CheckpointableProgress attribute)
(twodlearn.optimv2.Optimizer attribute)
filters (twodlearn.convnet.Conv2DLayer attribute)
,
[1]
(twodlearn.convnet.Conv2DTranspose attribute)
find_instances() (in module twodlearn.core.search)
finput (twodlearn.bayesnet.recurrent.NormalNarxCell attribute)
fit() (twodlearn.templates.bayesnet.ExplicitGpEstimator method)
(twodlearn.templates.bayesnet.GpEstimator method)
(twodlearn.templates.bayesnet.VGPEstimator method)
(twodlearn.templates.recurrent.Mlp2LstmEstimator method)
(twodlearn.templates.supervised.SupervisedEstimator method)
(twodlearn.templates.supervised.SupervisedMlModel method)
fit_loss() (twodlearn.recurrent.Lstm2Lstm.Output property)
flush() (twodlearn.monitoring.MonitorManager method)
(twodlearn.monitoring.TrainingMonitorManager method)
fm (twodlearn.bayesnet.gaussian_process.ExplicitVGP attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP attribute)
fm() (twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPInference property)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo property)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPInference property)
fm_kl (twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo attribute)
fm_prior (twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo attribute)
frame_skip() (twodlearn.reinforce.models.bullet_env.SingleRobotBulletEnv property)
FrobeniusNormal (class in twodlearn.core.initializers)
from_data() (twodlearn.datasets.unbalanced.UnbalancedDataset class method)
from_saved_data() (twodlearn.datasets.tsdataset.Record class method)
(twodlearn.datasets.tsdataset.TSDataset class method)
from_saved_file() (twodlearn.datasets.tsdataset.TSDatasets class method)
fromlist() (twodlearn.bayesnet.bayesnet.GaussianKL method)
fromstats() (twodlearn.bayesnet.bayesnet.GaussianKL class method)
fy (twodlearn.bayesnet.recurrent.NormalNarxCell attribute)
fz (twodlearn.bayesnet.recurrent.NormalNarxCell attribute)
G
GaussianKernel (class in twodlearn.kernels)
GaussianKL (class in twodlearn.bayesnet.bayesnet)
GaussianMlpCell (class in twodlearn.bayesnet.recurrent)
GaussianMlpCell.Output (class in twodlearn.bayesnet.recurrent)
GaussianNegLogLikelihood (class in twodlearn.bayesnet.bayesnet)
GaussianProcess (class in twodlearn.bayesnet.gaussian_process)
GaussianProcess.GpOutput (class in twodlearn.bayesnet.gaussian_process)
GaussianProcess.GPPosterior (class in twodlearn.bayesnet.gaussian_process)
gear_ratio() (twodlearn.reinforce.models.acrobot_bullet.AcrobotRobot property)
get_context() (in module twodlearn.core.context)
get_group() (twodlearn.datasets.tsdataset.AsynchronousRecord method)
(twodlearn.datasets.tsdataset.Record method)
get_initial_state() (twodlearn.recurrent.BaseCell method)
(twodlearn.recurrent.DenseCell method)
get_inputs() (twodlearn.recurrent.DenseCell method)
get_logger() (in module twodlearn.debug)
get_n_vars() (twodlearn.bayesnet.bayesnet.GaussianKL method)
get_names() (twodlearn.datasets.cyber.Kdd99Train static method)
get_next() (twodlearn.datasets.Batch_generator.BatchGenerator method)
(twodlearn.datasets.Batch_generator.SeqMultiClassBatchGenerator method)
get_next_list_tensor() (twodlearn.datasets.Batch_generator.SeqBatchGenerator method)
get_next_list_windows() (twodlearn.datasets.Batch_generator.SeqBatchGenerator method)
get_next_tensor() (twodlearn.datasets.Batch_generator.SeqBatchGenerator method)
get_ops() (twodlearn.optimv2.BaseOptimizer method)
(twodlearn.optimv2.Monitor method)
(twodlearn.optimv2.Optimizer method)
get_parameters() (in module twodlearn.core.search)
get_placeholder() (in module twodlearn.core.search)
get_placeholders() (in module twodlearn.core.search)
get_pred_optimizers() (twodlearn.Autoencoder.StackedAutoencoderNet method)
(twodlearn.DBM.StackedAutoencoderNet method)
get_prop_mat() (twodlearn.datasets.tsdataset.TSDataset method)
get_prop_table() (twodlearn.datasets.tsdataset.TSDataset method)
get_save_data() (in module twodlearn.core.save)
(twodlearn.core.common.OutputModel method)
(twodlearn.datasets.tsdataset.Record method)
(twodlearn.datasets.tsdataset.TSDataset method)
(twodlearn.datasets.tsdataset.TSDatasets method)
(twodlearn.feedforward.StackedModel method)
(twodlearn.stacked.StackedModel method)
(twodlearn.templates.bayesnet.GpEstimator method)
(twodlearn.templates.supervised.SupervisedEstimator method)
get_stats() (twodlearn.datasets.base.Dataset method)
(twodlearn.datasets.tsdataset.TSDataset method)
(twodlearn.datasets.unbalanced.DfUnbalancedDataset method)
(twodlearn.datasets.unbalanced.UnbalancedDataset method)
(twodlearn.monitoring.MonitorManager method)
(twodlearn.monitoring.TrainingMonitor method)
(twodlearn.monitoring.TrainingMonitorManager method)
get_trainable() (in module twodlearn.core.search)
get_transpose() (twodlearn.convnet.Conv1x1Proj method)
get_variables() (in module twodlearn.core.search)
gibbs_sampling_given_h() (twodlearn.DBM.RBM method)
gibbs_sampling_given_x() (twodlearn.DBM.RBM method)
GlobalOptions (class in twodlearn.core.options)
GmmLayer (class in twodlearn.GMM)
GmmMlpModel (class in twodlearn.GMM)
GmmModel (class in twodlearn.GMM)
GmmNetConf (class in twodlearn.GMM)
GmmParamsLayer (class in twodlearn.GMM)
GmmSBoundedLayer (class in twodlearn.GMM)
GmmSBoundedMlpModel (class in twodlearn.GMM)
GmmShallowModel (class in twodlearn.GMM)
gp_marginal (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.MarginalOutput attribute)
gp_model (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean attribute)
gp_model() (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.EGpOutput property)
(twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.MarginalOutput property)
gp_output (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.EGpOutput attribute)
GpEstimator (class in twodlearn.templates.bayesnet)
GPNegLogEvidence (class in twodlearn.bayesnet.gaussian_process)
GpWithExplicitMean (class in twodlearn.bayesnet.gaussian_process)
GpWithExplicitMean.EGpOutput (class in twodlearn.bayesnet.gaussian_process)
GpWithExplicitMean.EGPPosterior (class in twodlearn.bayesnet.gaussian_process)
GpWithExplicitMean.MarginalOutput (class in twodlearn.bayesnet.gaussian_process)
GradientL2Monitor (class in twodlearn.monitoring)
GreaterThan (class in twodlearn.losses)
group_tags() (twodlearn.datasets.tsdataset.Record property)
(twodlearn.datasets.tsdataset.TSDatasetSaver property)
H
h (twodlearn.recurrent.LstmState attribute)
hasattr() (in module twodlearn.core.common)
HeteroscedasticNormalMlp (class in twodlearn.bayesnet.bayesnet)
hidden (twodlearn.feedforward.MlpNet.Output attribute)
(twodlearn.recurrent.Lstm.LstmSetup.LstmStateAndOutput attribute)
(twodlearn.recurrent.MultilayerLstmCell.MultilayerLstmCellSetup attribute)
hidden() (twodlearn.feedforward.MultiLayer2DConvolution.Output property)
hidden_layers (twodlearn.recurrent.MultilayerLstmCell attribute)
histogram() (twodlearn.datasets.unbalanced.UnbalancedDataset property)
ht_k11inv_h (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.EGpOutput attribute)
I
Identity (class in twodlearn.core.common)
iloc (twodlearn.datasets.base.Dataset attribute)
ImageMonitor (class in twodlearn.monitoring)
images() (twodlearn.datasets.cifar10.DataSet property)
include_inputs (twodlearn.kernels.QuadraticFeatures attribute)
,
[1]
index_in_epoch (twodlearn.datasets.base.Dataset attribute)
InferenceInput (class in twodlearn.core.common)
init() (twodlearn.core.common.EncapsulatedMethod method)
(twodlearn.core.common.MethodInit method)
(twodlearn.core.common.MethodInit.MethodData method)
(twodlearn.core.common.OptionalProperty method)
(twodlearn.core.common.OptionalPropertyWrapper method)
(twodlearn.core.common.Parameter method)
(twodlearn.core.common.SubmodelInit method)
(twodlearn.core.common.SubmodelInit.Initializer method)
(twodlearn.core.common.SubmodelWithArgs method)
(twodlearn.core.common.TdlDescriptor method)
(twodlearn.core.common.UnsetProperty method)
(twodlearn.core.save.ModelData method)
init_attrs() (in module twodlearn.core.common)
init_env() (twodlearn.reinforce.systems.ModelicaSystem method)
(twodlearn.reinforce.systems.System method)
init_local() (twodlearn.core.common.EncapsulatedMethod method)
init_property() (twodlearn.core.common.LazzyProperty method)
init_wrapper() (twodlearn.constrained.TransformedVariable class method)
initial_state() (twodlearn.reinforce.models.acrobot_bullet.AcrobotEnv property)
(twodlearn.reinforce.models.acrobot_bullet.AcrobotRobot property)
(twodlearn.reinforce.models.cartpole_bullet.CartpoleEnv property)
(twodlearn.reinforce.models.cartpole_bullet.CartpoleRobot property)
(twodlearn.reinforce.systems.Acrobot property)
(twodlearn.reinforce.systems.Cartpole property)
(twodlearn.reinforce.systems.Cstr property)
initial_value (twodlearn.constrained.ConstrainedVariable attribute)
(twodlearn.core.common.ConstrainedVariable attribute)
initialize_variables() (in module twodlearn.core.search)
initializer() (twodlearn.constrained.ConstrainedVariable property)
(twodlearn.constrained.TransformedVariable property)
(twodlearn.core.common.ConstrainedVariable property)
(twodlearn.core.common.SubmodelInit method)
(twodlearn.core.common.TransformedVariable property)
InitPreconditionsFailed
input (twodlearn.linalg.Cholesky attribute)
,
[1]
input_h (twodlearn.recurrent.MultilayerLstmCell.MultilayerLstmCellSetup attribute)
input_shape (twodlearn.bayesnet.bayesnet.LinearNormalLayer attribute)
(twodlearn.bayesnet.bayesnet.McNormalEstimate attribute)
(twodlearn.bayesnet.bayesnet.NormalModel attribute)
,
[1]
(twodlearn.bayesnet.bayesnet.ParticlesLayer attribute)
,
[1]
(twodlearn.bayesnet.bayesnet.SampleLayer attribute)
,
[1]
(twodlearn.bayesnet.gaussian_process.BasisBase attribute)
(twodlearn.bayesnet.gaussian_process.ExplicitVGP attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP attribute)
(twodlearn.convnet.Conv1x1Proj attribute)
(twodlearn.convnet.Conv2DLayer attribute)
,
[1]
(twodlearn.convnet.Conv2DTranspose attribute)
(twodlearn.core.layers.Layer attribute)
(twodlearn.feedforward.AffineLayer attribute)
(twodlearn.feedforward.DenseLayer attribute)
(twodlearn.feedforward.LinearLayer attribute)
,
[1]
(twodlearn.kernels.GaussianKernel attribute)
,
[1]
(twodlearn.normalizer.NormalizeLayer attribute)
(twodlearn.parallel.ParallelLayers attribute)
,
[1]
(twodlearn.recurrent.BaseCell attribute)
(twodlearn.recurrent.StateSpaceCell attribute)
(twodlearn.stacked.StackedLayers attribute)
,
[1]
input_shape() (twodlearn.feedforward.AlexNet property)
(twodlearn.feedforward.AlexNet.AlexNetSetup property)
(twodlearn.feedforward.MultiLayer2DConvolution property)
(twodlearn.feedforward.MultiLayer2DConvolution.Output property)
input_state (twodlearn.recurrent.LstmCellOptimized.LstmCellSetup attribute)
input_x (twodlearn.recurrent.MultilayerLstmCell.MultilayerLstmCellSetup attribute)
InputArgument (class in twodlearn.core.common)
InputModel (class in twodlearn.core.common)
InputModelInit (class in twodlearn.core.common)
InputParameter (class in twodlearn.core.common)
inputs (twodlearn.bayesnet.bayesnet.ConditionalNormal.NormalOutput attribute)
(twodlearn.bayesnet.bayesnet.LinearNormalLayer.Output attribute)
(twodlearn.bayesnet.bayesnet.Normal.NormalOutput attribute)
(twodlearn.bayesnet.bayesnet.NormalMlp.McNormalOutput attribute)
(twodlearn.bayesnet.bayesnet.NormalMlp.NormalOutput attribute)
(twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPInference attribute)
(twodlearn.bayesnet.gaussian_process.GaussianProcess.GpOutput attribute)
(twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.EGpOutput attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPInference attribute)
(twodlearn.bayesnet.linear.VLinear.VLinearTransform attribute)
(twodlearn.bayesnet.recurrent.BayesNarx.McRnnOutput attribute)
(twodlearn.feedforward.AlexNet.AlexNetSetup attribute)
(twodlearn.feedforward.AlexnetLayer.AlexnetLayerSetup attribute)
(twodlearn.feedforward.LinearLayer.Output attribute)
(twodlearn.feedforward.MlpNet.Output attribute)
(twodlearn.feedforward.MultiLayer2DConvolution.Output attribute)
(twodlearn.feedforward.Transpose attribute)
(twodlearn.normalizer.Normalizer.NormalizerOutput attribute)
(twodlearn.recurrent.LstmCellOptimized.LstmCellSetup attribute)
(twodlearn.recurrent.Mlp2Lstm.Mlp2LstmOutput attribute)
(twodlearn.recurrent.Rnn.RnnSetup attribute)
(twodlearn.recurrent.SimpleRnn.RnnOutput attribute)
inputs() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
(twodlearn.bayesnet.gaussian_process.ExplicitVGP.VariationalLoss property)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo property)
(twodlearn.bayesnet.linear.VLinear.VLinearELBO property)
(twodlearn.recurrent.Lstm2Lstm.Output property)
inverse() (twodlearn.constrained.BoundedVariable method)
(twodlearn.constrained.PositiveVariable method)
(twodlearn.constrained.PositiveVariable2 method)
(twodlearn.constrained.PositiveVariableExp method)
(twodlearn.constrained.TransformedVariable method)
(twodlearn.core.common.BoundedVariable method)
(twodlearn.core.common.PositiveVariable method)
(twodlearn.core.common.PositiveVariable2 method)
(twodlearn.core.common.PositiveVariableExp method)
(twodlearn.core.common.TransformedVariable method)
is_autoinit_enabled() (in module twodlearn.core.context)
is_diagonal() (in module twodlearn.bayesnet.distributions)
(in module twodlearn.linalg)
is_diagonal_linop() (in module twodlearn.linalg)
is_property_initialized() (in module twodlearn.core.common)
is_property_set() (in module twodlearn.core.common)
is_scalar() (in module twodlearn.core.array)
is_scaled_identity() (in module twodlearn.linalg)
is_set (twodlearn.core.common.UnsetProperty attribute)
is_set() (twodlearn.core.common.OptionalPropertyWrapper property)
is_square_matrix() (in module twodlearn.core.array)
is_trainable() (in module twodlearn.core.search)
J
jacobian_f() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
K
k11 (twodlearn.bayesnet.gaussian_process.GaussianProcess.GpOutput attribute)
(twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.MarginalOutput attribute)
k11() (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.EGpOutput property)
k12 (twodlearn.bayesnet.gaussian_process.GaussianProcess.GpOutput attribute)
k12() (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.EGpOutput property)
k22 (twodlearn.bayesnet.gaussian_process.GaussianProcess.GpOutput attribute)
Kdd99 (class in twodlearn.datasets.cyber)
Kdd99Test (class in twodlearn.datasets.cyber)
Kdd99Train (class in twodlearn.datasets.cyber)
keep_prob (twodlearn.bayesnet.bayesnet.AffineBernoulliLayer attribute)
(twodlearn.feedforward.MlpNet.Output attribute)
(twodlearn.templates.supervised.MlpClassifier attribute)
keep_prob() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
(twodlearn.bayesnet.bayesnet.AffineBernoulliLayer.Output property)
(twodlearn.bayesnet.bayesnet.DenseBernoulliLayer.Output property)
(twodlearn.bayesnet.recurrent.DropoutMlpCell property)
kernel (twodlearn.bayesnet.bayesnet.LinearNormalLayer attribute)
,
[1]
(twodlearn.bayesnet.gaussian_process.BasisBase attribute)
(twodlearn.bayesnet.gaussian_process.ExplicitVGP attribute)
(twodlearn.bayesnet.gaussian_process.GaussianProcess attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP attribute)
(twodlearn.convnet.Conv1x1Proj attribute)
,
[1]
(twodlearn.convnet.Conv2DLayer attribute)
,
[1]
(twodlearn.convnet.Conv2DTranspose attribute)
,
[1]
(twodlearn.feedforward.AffineLayer attribute)
(twodlearn.feedforward.DenseLayer attribute)
(twodlearn.feedforward.LinearLayer attribute)
,
[1]
kernel() (twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPInference property)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo property)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPInference property)
(twodlearn.feedforward.LinearLayer.Output property)
kernel_size (twodlearn.convnet.Conv2DLayer attribute)
,
[1]
(twodlearn.convnet.Conv2DTranspose attribute)
KernelInitializer (class in twodlearn.core.initializers)
kernels() (twodlearn.bayesnet.bayesnet.BayesianMlp property)
(twodlearn.bayesnet.bayesnet.BayesianMlp.BayesMlpOutput property)
KLDivergence (class in twodlearn.bayesnet.losses)
kmm (twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPInference attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPInference attribute)
kmm() (twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo property)
kmx (twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPInference attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPInference attribute)
kmx() (twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo property)
L
L1Regularizer (class in twodlearn.losses)
L2Loss (class in twodlearn.losses)
L2Regularizer (class in twodlearn.losses)
l_scale (twodlearn.kernels.GaussianKernel attribute)
,
[1]
label_groups() (twodlearn.datasets.cyber.NslKddTrain property)
labels (twodlearn.bayesnet.gaussian_process.ExplicitVGP.VariationalLoss attribute)
(twodlearn.bayesnet.gaussian_process.GPNegLogEvidence attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo attribute)
(twodlearn.bayesnet.linear.VLinear.VLinearELBO attribute)
(twodlearn.losses.ClassificationLoss attribute)
,
[1]
labels() (twodlearn.bayesnet.bayesnet.GaussianNegLogLikelihood property)
(twodlearn.datasets.cifar10.DataSet property)
(twodlearn.datasets.unbalanced.UnbalancedDataset property)
(twodlearn.feedforward.LinearClassifier.LinearClassifierSetup property)
(twodlearn.losses.EmpiricalLoss property)
(twodlearn.losses.EmpiricalWithRegularization property)
(twodlearn.recurrent.Lstm.LstmSetup property)
(twodlearn.recurrent.Lstm2Lstm.Output property)
(twodlearn.recurrent.MlpNarx.Output property)
Layer (class in twodlearn.core.layers)
layers (twodlearn.bayesnet.bayesnet.BayesianMlp attribute)
(twodlearn.bayesnet.bayesnet.BoundedBayesianMlp attribute)
(twodlearn.bayesnet.bayesnet.BoundedBernoulliBayesianMlp attribute)
(twodlearn.feedforward.MlpNet attribute)
(twodlearn.feedforward.MultiLayer2DConvolution attribute)
(twodlearn.feedforward.StackedModel attribute)
(twodlearn.parallel.ParallelLayers attribute)
,
[1]
(twodlearn.stacked.StackedLayers attribute)
,
[1]
(twodlearn.stacked.StackedModel attribute)
LazzyProperty (class in twodlearn.core.common)
leaky_relu() (in module twodlearn.feedforward)
learning_rate (twodlearn.optim.Optimizer attribute)
(twodlearn.optimv2.BaseOptimizer attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
LessThan (class in twodlearn.losses)
linear_layer (twodlearn.feedforward.LinearClassifier attribute)
LinearClassifier (class in twodlearn.feedforward)
(class in twodlearn.templates.supervised)
LinearClassifier.LinearClassifierSetup (class in twodlearn.feedforward)
LinearLayer (class in twodlearn.feedforward)
LinearLayer.Output (class in twodlearn.feedforward)
LinearNormalLayer (class in twodlearn.bayesnet.bayesnet)
LinearNormalLayer.Output (class in twodlearn.bayesnet.bayesnet)
linop (twodlearn.kernels.ConcatOnes.ConcatOnesBasis attribute)
(twodlearn.linalg.Cholesky attribute)
,
[1]
(twodlearn.linalg.PDMatrix attribute)
,
[1]
(twodlearn.linalg.PDMatrixDiag attribute)
,
[1]
(twodlearn.linalg.PDScaledIdentity attribute)
,
[1]
ListModelData (class in twodlearn.core.save)
load() (in module twodlearn.datasets.mnist)
(twodlearn.core.save.ListModelData method)
(twodlearn.core.save.ModelData method)
(twodlearn.core.save.OutputModelData method)
(twodlearn.datasets.tsdataset.TSDataset class method)
(twodlearn.templates.supervised.SupervisedEstimator class method)
load_data() (in module twodlearn.core.save)
load_gz_as_nparray() (in module twodlearn.datasets.base)
load_variables() (in module twodlearn.core.save)
loc (twodlearn.bayesnet.bayesnet.ConditionalNormal attribute)
(twodlearn.bayesnet.bayesnet.ConditionalNormal.NormalOutput attribute)
(twodlearn.bayesnet.bayesnet.McNormal attribute)
(twodlearn.bayesnet.bayesnet.Normal attribute)
(twodlearn.bayesnet.bayesnet.Normal.NormalOutput attribute)
(twodlearn.bayesnet.bayesnet.NormalMlp attribute)
(twodlearn.bayesnet.bayesnet.NormalModel attribute)
,
[1]
(twodlearn.bayesnet.distributions.MVN attribute)
(twodlearn.bayesnet.distributions.Normal attribute)
(twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPPrediction attribute)
(twodlearn.bayesnet.gaussian_process.GaussianProcess.GPPosterior attribute)
(twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.EGPPosterior attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPEstimate attribute)
(twodlearn.bayesnet.linear.VLinear.VLinearTransform attribute)
(twodlearn.normalizer.NormalizeLayer attribute)
(twodlearn.normalizer.Normalizer attribute)
local_pointer() (twodlearn.datasets.tsdataset.TSDataset.Cursor property)
log() (twodlearn.monitoring.PerformanceSaver method)
log_abs_determinant() (twodlearn.linalg.Cholesky method)
log_folder (twodlearn.optim.Optimizer attribute)
(twodlearn.optimv2.Monitor attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
(twodlearn.optimv2.Saver attribute)
,
[1]
log_prob() (twodlearn.bayesnet.distributions.MVN method)
logger_path() (twodlearn.templates.supervised.SupervisedEstimator property)
logits (twodlearn.losses.ClassificationLoss attribute)
,
[1]
logits() (twodlearn.feedforward.AlexNetClassifier.AlexNetOutput property)
(twodlearn.feedforward.MlpClassifier.Output property)
Loss (class in twodlearn.losses)
loss (twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo attribute)
(twodlearn.bayesnet.recurrent.NormalNarxCell.NormalNarxOutput attribute)
(twodlearn.feedforward.AlexNet.AlexNetSetup attribute)
(twodlearn.feedforward.AlexNetClassifier.AlexNetOutput attribute)
(twodlearn.feedforward.LinearClassifier.LinearClassifierSetup attribute)
(twodlearn.feedforward.MlpClassifier.Output attribute)
(twodlearn.feedforward.MlpNet.Output attribute)
(twodlearn.optimv2.BaseOptimizer attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
(twodlearn.recurrent.SimpleRnn.RnnOutput attribute)
(twodlearn.unsupervised.Tsne attribute)
loss() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
(twodlearn.losses.EmpiricalLossWrapper property)
(twodlearn.recurrent.Lstm2Lstm.Output property)
(twodlearn.recurrent.Rnn.RnnSetup property)
(twodlearn.templates.UnconstrainedOptimization property)
loss1() (twodlearn.losses.AddLoss property)
(twodlearn.losses.MultipliedLosses property)
loss2() (twodlearn.losses.AddLoss property)
(twodlearn.losses.MultipliedLosses property)
loss_eval() (twodlearn.GMM.GmmMlpModel method)
(twodlearn.GMM.GmmSBoundedMlpModel method)
(twodlearn.GMM.GmmShallowModel method)
(twodlearn.losses.GreaterThan method)
(twodlearn.losses.LessThan method)
loss_monitor (twodlearn.optim.Optimizer attribute)
(twodlearn.optimv2.Monitor attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
losses() (twodlearn.losses.AddNLosses property)
LossMethod (class in twodlearn.losses)
lower (twodlearn.feedforward.BoundedOutput attribute)
lower() (twodlearn.feedforward.BoundedOutput.Output property)
Lstm (class in twodlearn.recurrent)
lstm (twodlearn.recurrent.Lstm2Lstm attribute)
(twodlearn.recurrent.Mlp2Lstm attribute)
(twodlearn.recurrent.Mlp2Lstm.Mlp2LstmOutput attribute)
lstm() (twodlearn.recurrent.Lstm2Lstm.Output property)
Lstm.LstmSetup (class in twodlearn.recurrent)
Lstm.LstmSetup.LstmStateAndOutput (class in twodlearn.recurrent)
Lstm2Lstm (class in twodlearn.recurrent)
Lstm2Lstm.Output (class in twodlearn.recurrent)
lstm_x0 (twodlearn.recurrent.Mlp2Lstm.Mlp2LstmOutput attribute)
LstmCellOptimized (class in twodlearn.recurrent)
LstmCellOptimized.LstmCellSetup (class in twodlearn.recurrent)
LstmState (class in twodlearn.recurrent)
M
m (twodlearn.bayesnet.gaussian_process.ExplicitVGP attribute)
(twodlearn.bayesnet.gaussian_process.GaussianProcess attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP attribute)
(twodlearn.templates.bayesnet.VGPEstimator attribute)
M_times_Mt() (in module twodlearn.linalg)
mapper (twodlearn.datasets.base.Datasets attribute)
(twodlearn.datasets.unbalanced.DfUnbalancedDataset attribute)
(twodlearn.datasets.unbalanced.UnbalancedDataset attribute)
mappers() (twodlearn.datasets.base.StackedMapper property)
maps (twodlearn.datasets.unbalanced.DfUnbalancedDataset attribute)
marginal_likelihood() (twodlearn.bayesnet.gaussian_process.GaussianProcess method)
(twodlearn.bayesnet.gaussian_process.GpWithExplicitMean method)
mask (twodlearn.losses.GreaterThan attribute)
(twodlearn.losses.LessThan attribute)
,
[1]
matmul() (twodlearn.bayesnet.gaussian_process.BasisBase.Basis method)
(twodlearn.linalg.Cholesky method)
matvec() (twodlearn.bayesnet.gaussian_process.BasisBase.Basis method)
(twodlearn.linalg.Cholesky method)
max (twodlearn.constrained.ConstrainedVariable attribute)
(twodlearn.constrained.PositiveVariableExp attribute)
,
[1]
(twodlearn.core.common.ConstrainedVariable attribute)
max() (twodlearn.constrained.BoundedVariable property)
(twodlearn.core.common.BoundedVariable property)
(twodlearn.datasets.tsdataset.TSDataset.DatasetStats property)
(twodlearn.monitoring.TrainingMonitor property)
MaxMinNormalizer (class in twodlearn.datasets.base)
MaxNormal (class in twodlearn.core.initializers)
maybe_download() (in module twodlearn.datasets.base)
(in module twodlearn.datasets.cifar10)
mc_evaluate() (twodlearn.bayesnet.bayesnet.NormalMlp method)
(twodlearn.bayesnet.recurrent.BayesNarx method)
McEstimate (class in twodlearn.bayesnet.bayesnet)
McNormal (class in twodlearn.bayesnet.bayesnet)
McNormalEstimate (class in twodlearn.bayesnet.bayesnet)
McSample (class in twodlearn.bayesnet.bayesnet)
mean (twodlearn.bayesnet.bayesnet.McEstimate attribute)
(twodlearn.bayesnet.distributions.MVN attribute)
mean() (twodlearn.datasets.tsdataset.AsynchronousRecord method)
(twodlearn.datasets.tsdataset.TSDataset.DatasetStats property)
(twodlearn.losses.AddNLosses method)
(twodlearn.losses.LessThan method)
(twodlearn.losses.QuadraticLoss method)
(twodlearn.monitoring.TrainingMonitor method)
mean_data() (twodlearn.monitoring.TrainingMonitor property)
mean_fn (twodlearn.bayesnet.gaussian_process.VariationalGP attribute)
mean_fn() (twodlearn.bayesnet.gaussian_process.VariationalGP.VGPInference property)
mean_max() (twodlearn.monitoring.TrainingMonitor property)
mean_min() (twodlearn.monitoring.TrainingMonitor property)
melbo (twodlearn.bayesnet.linear.VLinear.VLinearELBO attribute)
merge_dicts() (in module twodlearn.core.common)
mesh2array() (in module twodlearn.core.array)
metadata (twodlearn.reinforce.modelica.modelica_env.ModelicaEnv attribute)
MethodInit (class in twodlearn.core.common)
MethodInit.MethodData (class in twodlearn.core.common)
min (twodlearn.constrained.ConstrainedVariable attribute)
(twodlearn.core.common.ConstrainedVariable attribute)
min() (twodlearn.constrained.BoundedVariable property)
(twodlearn.core.common.BoundedVariable property)
(twodlearn.datasets.tsdataset.TSDataset.DatasetStats property)
(twodlearn.monitoring.TrainingMonitor property)
ml_model() (twodlearn.templates.supervised.Supervised property)
MlModel (class in twodlearn.templates.supervised)
mlp (twodlearn.bayesnet.recurrent.GaussianMlpCell attribute)
(twodlearn.feedforward.AlexNet attribute)
(twodlearn.feedforward.AlexNet.AlexNetSetup attribute)
(twodlearn.feedforward.AlexNetClassifier attribute)
(twodlearn.recurrent.Mlp2Lstm attribute)
Mlp2Lstm (class in twodlearn.recurrent)
Mlp2Lstm.Mlp2LstmOutput (class in twodlearn.recurrent)
Mlp2LstmEstimator (class in twodlearn.templates.recurrent)
MlpClassifier (class in twodlearn.feedforward)
(class in twodlearn.templates.supervised)
MlpClassifier.Output (class in twodlearn.feedforward)
MlpNarx (class in twodlearn.recurrent)
MlpNarx.Output (class in twodlearn.recurrent)
MlpNet (class in twodlearn.feedforward)
MlpNet.Output (class in twodlearn.feedforward)
MnistCustomMlp (class in twodlearn.templates.mnist.supervised)
MnistDataset (class in twodlearn.datasets.mnist)
MnistMlp (class in twodlearn.templates.mnist.supervised)
MnistSupervised (class in twodlearn.templates.mnist.supervised)
MnistTestMlp (class in twodlearn.templates.mnist.supervised)
model (twodlearn.bayesnet.bayesnet.LinearNormalLayer.Output attribute)
(twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPInference attribute)
(twodlearn.bayesnet.gaussian_process.GaussianProcess.GpOutput attribute)
(twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.EGpOutput attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPInference attribute)
(twodlearn.bayesnet.linear.VLinear.VLinearTransform attribute)
(twodlearn.bayesnet.recurrent.GaussianMlpCell.Output attribute)
(twodlearn.core.common.OutputModel attribute)
(twodlearn.feedforward.AlexnetLayer.AlexnetLayerSetup attribute)
(twodlearn.feedforward.MultiLayer2DConvolution.Output attribute)
(twodlearn.recurrent.Rnn.RnnSetup attribute)
(twodlearn.templates.bayesnet.EVGPEstimator attribute)
(twodlearn.templates.bayesnet.ExplicitGpEstimator attribute)
(twodlearn.templates.bayesnet.GpEstimator attribute)
(twodlearn.templates.bayesnet.VGPEstimator attribute)
(twodlearn.templates.recurrent.Mlp2LstmEstimator attribute)
(twodlearn.templates.supervised.AlexNetClassifier attribute)
(twodlearn.templates.supervised.LinearClassifier attribute)
(twodlearn.templates.supervised.MlpClassifier attribute)
(twodlearn.templates.supervised.SupervisedEstimator attribute)
model() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
(twodlearn.bayesnet.gaussian_process.ExplicitVGP.VariationalLoss property)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo property)
(twodlearn.reinforce.modelica.modelica_env.ModelicaEnv property)
(twodlearn.reinforce.modelica.modelica_env.SignalRender property)
(twodlearn.reinforce.modelica.modelica_env.StateRender property)
(twodlearn.templates.supervised.MlModel property)
(twodlearn.templates.UnconstrainedOptimization property)
ModelData (class in twodlearn.core.save)
ModelicaEnv (class in twodlearn.reinforce.modelica.modelica_env)
ModelicaSystem (class in twodlearn.reinforce.systems)
ModelMethod (class in twodlearn.core.common)
ModelOutput (twodlearn.bayesnet.recurrent.GaussianMlpCell attribute)
(twodlearn.recurrent.Lstm attribute)
(twodlearn.recurrent.Lstm2Lstm attribute)
(twodlearn.recurrent.MlpNarx attribute)
models() (twodlearn.feedforward.ParallelModel property)
Monitor (class in twodlearn.optimv2)
monitor (twodlearn.templates.recurrent.Mlp2LstmEstimator attribute)
(twodlearn.templates.supervised.LinearClassifier attribute)
(twodlearn.templates.supervised.SupervisedEstimator attribute)
monitor() (twodlearn.templates.supervised.MlModel property)
monitor_manager (twodlearn.optim.Optimizer attribute)
(twodlearn.optimv2.Monitor attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
MonitoringData (class in twodlearn.monitoring)
MonitoringDataV2 (class in twodlearn.monitoring)
MonitorManager (class in twodlearn.monitoring)
monitors() (twodlearn.monitoring.MonitorManager property)
monitors_data() (twodlearn.monitoring.MonitorManager property)
mplfig2tf() (twodlearn.monitoring.ImageMonitor static method)
mplfig2tfsummary() (twodlearn.monitoring.ImageMonitor method)
Mt_times_M() (in module twodlearn.linalg)
mu() (twodlearn.datasets.tsdataset.TSDataset.BatchNormalizer property)
MultiLayer2DConvolution (class in twodlearn.feedforward)
MultiLayer2DConvolution.Output (class in twodlearn.feedforward)
MultilayerLstmCell (class in twodlearn.recurrent)
MultilayerLstmCell.MultilayerLstmCellSetup (class in twodlearn.recurrent)
MultipliedLosses (class in twodlearn.losses)
multipliers (twodlearn.linalg.DynamicScaledIdentity attribute)
,
[1]
MVN (class in twodlearn.bayesnet.distributions)
MVNDiag (class in twodlearn.bayesnet.distributions)
MVNScaledIdentity (class in twodlearn.bayesnet.distributions)
N
n_actuators() (twodlearn.reinforce.systems.Cstr property)
(twodlearn.reinforce.systems.System property)
n_classes() (twodlearn.datasets.base.OneHotMap property)
(twodlearn.feedforward.AlexNetClassifier property)
(twodlearn.feedforward.LinearClassifier property)
(twodlearn.feedforward.MlpClassifier property)
(twodlearn.losses.ClassificationLoss property)
n_filters() (twodlearn.feedforward.MultiLayer2DConvolution property)
n_hidden (twodlearn.recurrent.Lstm attribute)
(twodlearn.recurrent.MultilayerLstmCell attribute)
n_hidden() (twodlearn.bayesnet.recurrent.GaussianMlpCell property)
(twodlearn.feedforward.MlpNet property)
(twodlearn.recurrent.MlpNarx property)
n_inputs (twodlearn.recurrent.LstmCellOptimized attribute)
,
[1]
(twodlearn.recurrent.Mlp2Lstm attribute)
(twodlearn.recurrent.MultilayerLstmCell attribute)
(twodlearn.recurrent.Rnn attribute)
n_inputs() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
(twodlearn.bayesnet.bayesnet.BayesianMlp property)
(twodlearn.bayesnet.bayesnet.NormalMlp property)
(twodlearn.bayesnet.bayesnet.NormalMlp.NormalOutput property)
(twodlearn.bayesnet.recurrent.GaussianMlpCell property)
(twodlearn.feedforward.LinearClassifier property)
(twodlearn.feedforward.LinearClassifier.LinearClassifierSetup property)
(twodlearn.feedforward.MlpNet property)
(twodlearn.feedforward.MlpNet.Output property)
(twodlearn.recurrent.Rnn.RnnSetup property)
n_maps() (twodlearn.feedforward.AlexnetLayer property)
n_nodes (twodlearn.recurrent.LstmCellOptimized attribute)
n_outputs (twodlearn.recurrent.Mlp2Lstm attribute)
(twodlearn.recurrent.Rnn attribute)
n_outputs() (twodlearn.bayesnet.bayesnet.BayesianMlp property)
(twodlearn.bayesnet.bayesnet.GaussianNegLogLikelihood property)
(twodlearn.bayesnet.bayesnet.NormalMlp property)
(twodlearn.bayesnet.bayesnet.NormalMlp.NormalOutput property)
(twodlearn.bayesnet.recurrent.GaussianMlpCell property)
(twodlearn.feedforward.AlexNet property)
(twodlearn.feedforward.LinearClassifier property)
(twodlearn.feedforward.LinearClassifier.LinearClassifierSetup property)
(twodlearn.feedforward.MlpNet property)
(twodlearn.feedforward.MlpNet.Output property)
(twodlearn.losses.ClassificationLoss property)
(twodlearn.losses.L2Loss property)
(twodlearn.recurrent.LstmCellOptimized property)
(twodlearn.recurrent.MultilayerLstmCell property)
(twodlearn.recurrent.Rnn.RnnSetup property)
n_particles() (twodlearn.bayesnet.bayesnet.NormalMlp.McNormalOutput property)
(twodlearn.bayesnet.bayesnet.Particles property)
(twodlearn.bayesnet.recurrent.BayesNarx.McRnnOutput property)
n_samples (twodlearn.datasets.base.Dataset attribute)
(twodlearn.datasets.unbalanced.UnbalancedDataset attribute)
n_samples() (twodlearn.datasets.base.Dataset property)
(twodlearn.datasets.tsdataset.AsynchronousRecord property)
(twodlearn.datasets.tsdataset.Record property)
(twodlearn.datasets.tsdataset.TSDataset property)
(twodlearn.datasets.tsdataset.TSDataset.DatasetStats property)
(twodlearn.unsupervised.Tsne property)
n_sensors() (twodlearn.reinforce.systems.Cstr property)
(twodlearn.reinforce.systems.System property)
n_states() (twodlearn.reinforce.systems.Cstr property)
(twodlearn.reinforce.systems.System property)
n_units (twodlearn.recurrent.LstmCellOptimized attribute)
n_unrollings (twodlearn.recurrent.Rnn.RnnSetup attribute)
n_unrollings() (twodlearn.recurrent.Mlp2Lstm.Mlp2LstmOutput property)
(twodlearn.recurrent.SimpleRnn.RnnOutput property)
n_vars() (twodlearn.datasets.tsdataset.TSDataset method)
name (twodlearn.recurrent.LstmCellOptimized attribute)
name() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
(twodlearn.core.common.TdlOp property)
(twodlearn.core.common.TdlProgram property)
(twodlearn.datasets.tsdataset.RecordSaveData property)
NanResult
Narx (class in twodlearn.recurrent)
Narx.NarxSetup (class in twodlearn.recurrent)
neg_elbo() (twodlearn.bayesnet.gaussian_process.ExplicitVGP method)
(twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPPrediction method)
(twodlearn.bayesnet.gaussian_process.VariationalGP method)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPEstimate method)
neg_melbo() (twodlearn.bayesnet.linear.VLinear.VLinearTransform method)
NetConf (class in twodlearn.feedforward)
next_batch() (twodlearn.datasets.base.Dataset method)
(twodlearn.datasets.cifar10.DataSet method)
(twodlearn.datasets.tsdataset.TSDataset method)
(twodlearn.datasets.unbalanced.UnbalancedDataset method)
next_batch_discontinuous() (twodlearn.datasets.tsdataset.TSDataset method)
next_batch_for_narx() (in module twodlearn.templates.recurrent)
next_batch_x() (twodlearn.datasets.base.Dataset method)
next_sequence() (twodlearn.datasets.tsdataset.TSDataset.Cursor method)
next_windowed_batch() (twodlearn.datasets.tsdataset.TSDataset method)
NonePropertyAvailable
Normal (class in twodlearn.bayesnet.bayesnet)
(class in twodlearn.bayesnet.distributions)
Normal.NormalOutput (class in twodlearn.bayesnet.bayesnet)
normal_residual_wrapper() (in module twodlearn.bayesnet.recurrent)
normalize() (twodlearn.datasets.base.Datasets method)
(twodlearn.datasets.base.MaxMinNormalizer method)
(twodlearn.datasets.base.Normalizer method)
(twodlearn.datasets.tsdataset.TSDataset method)
(twodlearn.datasets.tsdataset.TSDataset.BatchNormalizer method)
(twodlearn.datasets.tsdataset.TSDatasets method)
(twodlearn.normalizer.Normalizer method)
NormalizeLayer (class in twodlearn.normalizer)
Normalizer (class in twodlearn.datasets.base)
(class in twodlearn.normalizer)
normalizer (twodlearn.bayesnet.recurrent.NormalNarxCell attribute)
(twodlearn.datasets.base.Dataset attribute)
(twodlearn.datasets.base.Datasets attribute)
(twodlearn.datasets.unbalanced.UnbalancedDataset attribute)
(twodlearn.templates.bayesnet.GpEstimator attribute)
(twodlearn.templates.bayesnet.VGPEstimator attribute)
(twodlearn.templates.recurrent.Mlp2LstmEstimator attribute)
normalizer() (twodlearn.bayesnet.recurrent.GaussianMlpCell property)
(twodlearn.datasets.tsdataset.TSDataset property)
Normalizer.NormalizerOutput (class in twodlearn.normalizer)
NormalMlp (class in twodlearn.bayesnet.bayesnet)
NormalMlp.McNormalOutput (class in twodlearn.bayesnet.bayesnet)
NormalMlp.NormalOutput (class in twodlearn.bayesnet.bayesnet)
NormalModel (class in twodlearn.bayesnet.bayesnet)
NormalNarxCell (class in twodlearn.bayesnet.recurrent)
NormalNarxCell.NarxConcat (class in twodlearn.bayesnet.recurrent)
NormalNarxCell.NormalNarxOutput (class in twodlearn.bayesnet.recurrent)
NoScopeParam (class in twodlearn.core.search)
NotTrainable (class in twodlearn.core.options)
Np2dMesh (class in twodlearn.core.array)
np_dtype() (in module twodlearn.core.array)
NslKdd (class in twodlearn.datasets.cyber)
NslKddTest (class in twodlearn.datasets.cyber)
NslKddTrain (class in twodlearn.datasets.cyber)
num_examples() (twodlearn.datasets.cifar10.DataSet property)
O
objective (twodlearn.optim.EarlyStoppingV2 attribute)
one_hot() (in module twodlearn.datasets.Batch_generator)
OneHotMap (class in twodlearn.datasets.base)
OpMonitor (class in twodlearn.monitoring)
opt() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
OptimizationManager (class in twodlearn.optim)
Optimizer (class in twodlearn.optim)
(class in twodlearn.optimv2)
optimizer (twodlearn.optim.Optimizer attribute)
(twodlearn.optimv2.BaseOptimizer attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
(twodlearn.templates.bayesnet.GpEstimator attribute)
(twodlearn.templates.bayesnet.VGPEstimator attribute)
(twodlearn.templates.supervised.SupervisedEstimator attribute)
optimizer() (twodlearn.optim.EarlyStoppingV2 property)
(twodlearn.templates.supervised.MlModel property)
optional() (twodlearn.core.common.TdlDescriptor class method)
OptionalProperty (class in twodlearn.core.common)
OptionalPropertyWrapper (class in twodlearn.core.common)
Options (class in twodlearn.core.common)
(class in twodlearn.feedforward)
options (in module twodlearn.feedforward)
options() (twodlearn.core.common.TdlOp property)
(twodlearn.core.common.TdlProgram property)
(twodlearn.templates.supervised.MlModel property)
(twodlearn.templates.supervised.Supervised property)
output (twodlearn.feedforward.AlexNet.AlexNetSetup attribute)
(twodlearn.feedforward.MlpNet.Output attribute)
(twodlearn.recurrent.MultilayerLstmCell.MultilayerLstmCellSetup attribute)
output_dim() (twodlearn.unsupervised.Tsne property)
output_layer (twodlearn.recurrent.MultilayerLstmCell attribute)
output_model (twodlearn.recurrent.StateSpaceCell attribute)
output_padding (twodlearn.convnet.Conv2DTranspose attribute)
,
[1]
output_shape() (twodlearn.feedforward.MultiLayer2DConvolution property)
OutputModel (class in twodlearn.core.common)
OutputModelData (class in twodlearn.core.save)
outputs() (twodlearn.recurrent.Rnn.RnnSetup property)
OutputValue (class in twodlearn.core.common)
P
p() (twodlearn.bayesnet.bayesnet.GaussianKL property)
padding (twodlearn.convnet.Conv2DLayer attribute)
,
[1]
(twodlearn.convnet.Conv2DTranspose attribute)
PairwiseL2 (class in twodlearn.kernels)
ParallelLayers (class in twodlearn.parallel)
ParallelModel (class in twodlearn.feedforward)
Parameter (class in twodlearn.core.common)
ParameterInit (class in twodlearn.core.common)
parameters (twodlearn.recurrent.LstmCellOptimized attribute)
parameters() (twodlearn.Autoencoder.AutoencoderClassifierNet property)
(twodlearn.Autoencoder.AutoencoderNet property)
(twodlearn.bayesnet.bayesnet.BayesianMlp property)
(twodlearn.recurrent.Lstm property)
(twodlearn.recurrent.Lstm2Lstm property)
(twodlearn.recurrent.Mlp2Lstm property)
(twodlearn.recurrent.MultilayerLstmCell property)
Particles (class in twodlearn.bayesnet.bayesnet)
particles (twodlearn.bayesnet.bayesnet.ParticlesLayer attribute)
,
[1]
ParticlesLayer (class in twodlearn.bayesnet.bayesnet)
PDMatrix (class in twodlearn.linalg)
PDMatrixDiag (class in twodlearn.linalg)
PDScaledIdentity (class in twodlearn.linalg)
PerformanceSaver (class in twodlearn.monitoring)
perm (twodlearn.feedforward.Transpose attribute)
(twodlearn.feedforward.TransposeLayer attribute)
perplexity (twodlearn.unsupervised.Tsne attribute)
perplexity_loss (twodlearn.unsupervised.Tsne attribute)
pij (twodlearn.unsupervised.Tsne attribute)
pj_given_i (twodlearn.unsupervised.Tsne attribute)
polynomial_kernel() (in module twodlearn.kernels)
pool_size() (twodlearn.feedforward.AlexnetLayer property)
(twodlearn.feedforward.AlexnetLayer.AlexnetLayerSetup property)
pool_sizes() (twodlearn.feedforward.MultiLayer2DConvolution property)
PositiveVariable (class in twodlearn.constrained)
(class in twodlearn.core.common)
PositiveVariable2 (class in twodlearn.constrained)
(class in twodlearn.core.common)
PositiveVariableExp (class in twodlearn.constrained)
(class in twodlearn.core.common)
posterior (twodlearn.bayesnet.gaussian_process.ExplicitVGP.VariationalLoss attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo attribute)
(twodlearn.bayesnet.linear.VLinear.VLinearELBO attribute)
pre_scaled() (twodlearn.losses.ScaledLoss property)
predict() (twodlearn.bayesnet.gaussian_process.ExplicitVGP method)
(twodlearn.bayesnet.gaussian_process.GaussianProcess method)
(twodlearn.bayesnet.gaussian_process.GpWithExplicitMean method)
(twodlearn.bayesnet.gaussian_process.VariationalGP method)
(twodlearn.templates.bayesnet.GpEstimator method)
(twodlearn.templates.bayesnet.VGPEstimator method)
(twodlearn.templates.recurrent.Mlp2LstmEstimator method)
(twodlearn.templates.supervised.SupervisedEstimator method)
prior (twodlearn.bayesnet.gaussian_process.BasisBase attribute)
prior_scale (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean attribute)
prior_scale() (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.MarginalOutput property)
prob() (twodlearn.bayesnet.bayesnet.Entropy property)
progress (twodlearn.optimv2.CheckProgress attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
projection() (twodlearn.constrained.ConstrainedVariable method)
(twodlearn.core.common.ConstrainedVariable method)
prop() (twodlearn.datasets.tsdataset.RecordSaveData property)
prop2array() (twodlearn.datasets.tsdataset.AsynchronousRecord method)
(twodlearn.datasets.tsdataset.Record method)
prop2list() (twodlearn.datasets.tsdataset.AsynchronousRecord method)
(twodlearn.datasets.tsdataset.Record method)
PropertyRedefinition
PropertyShortcuts (class in twodlearn.core.shortcuts)
Q
q (twodlearn.losses.QuadraticLoss attribute)
,
[1]
q() (twodlearn.bayesnet.bayesnet.GaussianKL property)
qij (twodlearn.unsupervised.Tsne attribute)
QuadraticFeatures (class in twodlearn.kernels)
QuadraticLoss (class in twodlearn.losses)
R
RandomLinear (class in twodlearn.templates.mnist.supervised)
raw (twodlearn.constrained.PositiveVariable attribute)
(twodlearn.constrained.PositiveVariableExp attribute)
,
[1]
(twodlearn.constrained.TransformedVariable attribute)
,
[1]
(twodlearn.core.common.TransformedVariable attribute)
(twodlearn.linalg.PDMatrix attribute)
,
[1]
(twodlearn.linalg.PDMatrixDiag attribute)
,
[1]
(twodlearn.linalg.PDScaledIdentity attribute)
,
[1]
RBM (class in twodlearn.DBM)
read_columns() (twodlearn.datasets.cyber.NslKddTrain static method)
read_data_sets() (in module twodlearn.datasets.cifar10)
read_datafile() (in module twodlearn.datasets.mnist)
read_labels() (twodlearn.datasets.cyber.NslKddTrain static method)
read_tf_scalar_summary() (twodlearn.monitoring.MonitoringData method)
(twodlearn.monitoring.MonitoringDataV2 static method)
reconstruction_loss() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
Record (class in twodlearn.datasets.tsdataset)
record() (twodlearn.datasets.tsdataset.TSDataset.Cursor property)
record_id() (twodlearn.datasets.tsdataset.TSDataset.Cursor property)
records_data() (twodlearn.datasets.tsdataset.TSDatasetSaver property)
RecordSaveData (class in twodlearn.datasets.tsdataset)
reduce_sum_rightmost() (in module twodlearn.core.array)
reference (twodlearn.losses.GreaterThan attribute)
(twodlearn.losses.LessThan attribute)
,
[1]
register_saver (class in twodlearn.core.save)
RegisterKL (class in twodlearn.bayesnet.losses)
Regularizer (class in twodlearn.core.common)
regularizer (twodlearn.bayesnet.bayesnet.AffineBernoulliLayer attribute)
(twodlearn.bayesnet.bayesnet.BayesianMlp attribute)
(twodlearn.bayesnet.bayesnet.LinearNormalLayer attribute)
,
[1]
(twodlearn.bayesnet.bayesnet.Normal attribute)
(twodlearn.bayesnet.recurrent.GaussianMlpCell attribute)
(twodlearn.bayesnet.recurrent.NormalNarxCell attribute)
(twodlearn.feedforward.AffineLayer attribute)
(twodlearn.feedforward.AlexNet attribute)
(twodlearn.feedforward.AlexnetLayer attribute)
(twodlearn.feedforward.DenseLayer attribute)
(twodlearn.feedforward.LinearClassifier attribute)
(twodlearn.feedforward.LinearLayer attribute)
,
[1]
(twodlearn.feedforward.MultiLayer2DConvolution attribute)
(twodlearn.feedforward.StackedModel attribute)
(twodlearn.recurrent.SimpleRnn attribute)
(twodlearn.stacked.StackedModel attribute)
regularizer() (twodlearn.losses.EmpiricalWithRegularization property)
render() (twodlearn.reinforce.modelica.modelica_env.ModelicaEnv method)
reopen() (twodlearn.monitoring.MonitorManager method)
(twodlearn.monitoring.TrainingMonitorManager method)
ReplaceMap (class in twodlearn.datasets.base)
required() (twodlearn.core.common.TdlDescriptor class method)
resample() (twodlearn.bayesnet.bayesnet.McNormal method)
reset() (twodlearn.datasets.tsdataset.TSDataset.BatchNormalizer method)
(twodlearn.optim.EarlyStopping method)
(twodlearn.optim.EarlyStoppingV2 method)
(twodlearn.optim.Optimizer method)
(twodlearn.optim.SimpleSaver method)
(twodlearn.reinforce.modelica.modelica_env.ModelicaEnv method)
(twodlearn.reinforce.models.bullet_env.SingleRobotBulletEnv method)
reset_cursors() (twodlearn.datasets.tsdataset.TSDataset method)
reset_inputs (twodlearn.recurrent.Rnn.RnnSetup attribute)
(twodlearn.recurrent.SimpleRnn.RnnOutput attribute)
reset_vars() (twodlearn.templates.supervised.SupervisedEstimator method)
ResetGradientL2Monitor (class in twodlearn.monitoring)
restart (twodlearn.optimv2.BaseOptimizer attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
restore (twodlearn.optim.EarlyStopping attribute)
(twodlearn.optim.EarlyStoppingV2 attribute)
restore_file() (twodlearn.optim.EarlyStopping method)
(twodlearn.optim.SimpleSaver method)
return_layers (twodlearn.feedforward.StackedModel attribute)
(twodlearn.stacked.StackedModel attribute)
reuse_scope (class in twodlearn.core.common)
rightmost (twodlearn.feedforward.Transpose attribute)
(twodlearn.feedforward.TransposeLayer attribute)
Rnn (class in twodlearn.recurrent)
Rnn.RnnSetup (class in twodlearn.recurrent)
robot_specific_reset() (twodlearn.reinforce.models.acrobot_bullet.AcrobotRobot method)
(twodlearn.reinforce.models.cartpole_bullet.CartpoleRobot method)
run() (twodlearn.optim.OptimizationManager method)
(twodlearn.optim.Optimizer method)
(twodlearn.optimv2.BaseOptimizer method)
(twodlearn.templates.UnconstrainedOptimization method)
(twodlearn.templates.unsupervised.Tsne method)
run_step() (twodlearn.optim.OptimizationManager method)
(twodlearn.optim.Optimizer method)
(twodlearn.optimv2.BaseOptimizer method)
(twodlearn.optimv2.Optimizer method)
run_training() (twodlearn.templates.mnist.supervised.SimpleMnistSupervised method)
(twodlearn.templates.supervised.Supervised method)
S
same_state_output_wrapper() (in module twodlearn.recurrent)
sample (twodlearn.datasets.base.Dataset attribute)
sample() (twodlearn.bayesnet.distributions.MVN method)
(twodlearn.bayesnet.distributions.MVNDiag method)
(twodlearn.datasets.unbalanced.DfUnbalancedDataset method)
(twodlearn.datasets.unbalanced.UnbalancedDataset method)
sample_axis (twodlearn.bayesnet.bayesnet.McSample attribute)
sample_batch_window() (in module twodlearn.datasets.tsdataset)
sample_dim (twodlearn.bayesnet.bayesnet.McNormalEstimate attribute)
sample_shape (twodlearn.bayesnet.bayesnet.SampleLayer attribute)
,
[1]
sample_window() (in module twodlearn.datasets.tsdataset)
SampleLayer (class in twodlearn.bayesnet.bayesnet)
samples() (twodlearn.bayesnet.bayesnet.McNormal property)
save (twodlearn.optim.EarlyStopping attribute)
(twodlearn.optim.SimpleSaver attribute)
save() (twodlearn.datasets.tsdataset.TSDataset method)
(twodlearn.datasets.tsdataset.TSDatasets method)
(twodlearn.monitoring.PerformanceSaver method)
(twodlearn.templates.supervised.SupervisedEstimator method)
Saver (class in twodlearn.optimv2)
saver (twodlearn.optim.Optimizer attribute)
(twodlearn.optimv2.Saver attribute)
,
[1]
ScalarMonitor (class in twodlearn.monitoring)
scale (twodlearn.bayesnet.bayesnet.ConditionalNormal.NormalOutput attribute)
(twodlearn.bayesnet.bayesnet.McNormal attribute)
(twodlearn.bayesnet.bayesnet.Normal attribute)
(twodlearn.bayesnet.bayesnet.Normal.NormalOutput attribute)
(twodlearn.bayesnet.bayesnet.NormalMlp attribute)
(twodlearn.bayesnet.bayesnet.NormalModel attribute)
,
[1]
(twodlearn.bayesnet.distributions.MVN attribute)
(twodlearn.bayesnet.distributions.Normal attribute)
(twodlearn.normalizer.NormalizeLayer attribute)
(twodlearn.normalizer.Normalizer attribute)
scale() (twodlearn.core.initializers.SumFanConstant property)
(twodlearn.losses.L2Regularizer property)
ScaledLoss (class in twodlearn.losses)
scope() (twodlearn.core.common.TdlOp property)
(twodlearn.core.common.TdlProgram property)
(twodlearn.core.layers.Layer property)
ScopedMethod (class in twodlearn.core.common)
ScopedMethod.ScopedWrapper (class in twodlearn.core.common)
search_monitor_data() (twodlearn.monitoring.MonitoringData method)
(twodlearn.monitoring.MonitoringDataV2 method)
selu01() (in module twodlearn.feedforward)
selu01_disc() (in module twodlearn.feedforward)
selu01_disc2() (in module twodlearn.feedforward)
sensor_model() (twodlearn.reinforce.systems.System method)
SeqBatchGenerator (class in twodlearn.datasets.Batch_generator)
SeqMultiClassBatchGenerator (class in twodlearn.datasets.Batch_generator)
session (twodlearn.optim.Optimizer attribute)
(twodlearn.optimv2.BaseOptimizer attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
(twodlearn.templates.supervised.SupervisedEstimator attribute)
session() (twodlearn.optim.EarlyStoppingV2 property)
(twodlearn.templates.supervised.MlModel property)
(twodlearn.templates.UnconstrainedOptimization property)
set_args() (twodlearn.core.common.SubmodelInit.Initializer method)
set_groups() (twodlearn.datasets.tsdataset.AsynchronousRecord method)
(twodlearn.datasets.tsdataset.Record method)
(twodlearn.datasets.tsdataset.TSDataset method)
(twodlearn.datasets.tsdataset.TSDatasets method)
set_sensor_noise() (twodlearn.reinforce.systems.System method)
set_value() (twodlearn.core.common.OptionalPropertyWrapper method)
setter() (twodlearn.core.common.OptionalProperty method)
setup() (twodlearn.Autoencoder.AutoencoderClassifierNet method)
(twodlearn.Autoencoder.AutoencoderNet method)
(twodlearn.Autoencoder.StackedAutoencoderNet method)
(twodlearn.bayesnet.recurrent.GaussianMlpCell method)
(twodlearn.DBM.StackedAutoencoderNet method)
(twodlearn.feedforward.MultiLayer2DConvolution method)
(twodlearn.feedforward.StridedDeconvNet method)
(twodlearn.GMM.GmmMlpModel method)
(twodlearn.GMM.GmmSBoundedMlpModel method)
(twodlearn.GMM.GmmShallowModel method)
(twodlearn.recurrent.MlpNarx method)
setup_classifier() (twodlearn.Autoencoder.AutoencoderClassifierNet.AutoencoderClassifierNetSetup method)
setup_contractive_regularizer() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup method)
setup_conv_layers() (twodlearn.feedforward.MultiLayer2DConvolution.Output method)
setup_inputs() (twodlearn.feedforward.MultiLayer2DConvolution.Output method)
setup_op() (twodlearn.monitoring.GradientL2Monitor method)
(twodlearn.monitoring.ImageMonitor method)
(twodlearn.monitoring.OpMonitor method)
(twodlearn.monitoring.ResetGradientL2Monitor method)
(twodlearn.monitoring.TrainingMonitor method)
shape (twodlearn.bayesnet.distributions.MVN attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo attribute)
(twodlearn.feedforward.Transpose attribute)
(twodlearn.linalg.PDMatrix attribute)
,
[1]
(twodlearn.linalg.PDMatrixDiag attribute)
(twodlearn.linalg.PDScaledIdentity attribute)
shape() (twodlearn.bayesnet.bayesnet.BayesianMlp.BayesMlpOutput property)
(twodlearn.bayesnet.bayesnet.LinearNormalLayer.Output property)
(twodlearn.constrained.ConstrainedVariable property)
(twodlearn.constrained.TransformedVariable property)
(twodlearn.core.common.TransformedVariable property)
(twodlearn.feedforward.LinearLayer.Output property)
(twodlearn.feedforward.MlpNet.Output property)
shape_tensor() (twodlearn.linalg.Cholesky method)
shuffle() (twodlearn.datasets.base.Dataset method)
(twodlearn.datasets.unbalanced.UnbalancedDataset method)
sigma (twodlearn.unsupervised.Tsne attribute)
signal_edges() (in module twodlearn.datasets.tsdataset)
SignalRender (class in twodlearn.reinforce.modelica.modelica_env)
SimpleMnistSupervised (class in twodlearn.templates.mnist.supervised)
SimpleNamespace (class in twodlearn.core.common)
SimpleParameter (class in twodlearn.core.common)
SimpleRnn (class in twodlearn.recurrent)
SimpleRnn.RnnOutput (class in twodlearn.recurrent)
SimpleSaver (class in twodlearn.optim)
SimpleTrainingMonitor (class in twodlearn.monitoring)
simulate() (twodlearn.reinforce.systems.ModelicaSystem method)
(twodlearn.reinforce.systems.System method)
SingleRobotBulletEnv (class in twodlearn.reinforce.models.bullet_env)
SingularNormal (class in twodlearn.core.initializers)
solve() (twodlearn.linalg.Cholesky method)
solvemat() (in module twodlearn.linalg)
solvevec() (in module twodlearn.linalg)
(twodlearn.linalg.Cholesky method)
split() (twodlearn.datasets.unbalanced.UnbalancedDataset method)
split_continuous() (twodlearn.datasets.tsdataset.Record method)
(twodlearn.datasets.tsdataset.TSDataset method)
split_train() (twodlearn.datasets.base.Datasets method)
src (twodlearn.datasets.cifar10.Cifar10 attribute)
(twodlearn.datasets.cyber.Kdd99Test attribute)
(twodlearn.datasets.cyber.Kdd99Train attribute)
(twodlearn.datasets.mnist.MnistDataset attribute)
src_directory() (twodlearn.datasets.cyber.NslKddTrain property)
StackedAutoencoderNet (class in twodlearn.Autoencoder)
(class in twodlearn.DBM)
StackedLayers (class in twodlearn.stacked)
StackedMapper (class in twodlearn.datasets.base)
StackedModel (class in twodlearn.feedforward)
(class in twodlearn.stacked)
StackedModel.StackedOutput (class in twodlearn.feedforward)
(class in twodlearn.stacked)
start_time() (twodlearn.datasets.tsdataset.AsynchronousRecord property)
(twodlearn.datasets.tsdataset.Record property)
(twodlearn.datasets.tsdataset.RecordSaveData property)
state() (twodlearn.recurrent.MultilayerLstmCell.MultilayerLstmCellSetup property)
state_model (twodlearn.recurrent.StateSpaceCell attribute)
state_shape (twodlearn.recurrent.BaseCell attribute)
(twodlearn.recurrent.StateSpaceCell attribute)
StateRender (class in twodlearn.reinforce.modelica.modelica_env)
states() (twodlearn.recurrent.Rnn.RnnSetup property)
StateSpaceCell (class in twodlearn.recurrent)
StateSpaceDense (class in twodlearn.recurrent)
status_bar (twodlearn.optimv2.Optimizer attribute)
(twodlearn.optimv2.StatusBar attribute)
,
[1]
StatusBar (class in twodlearn.optimv2)
std() (twodlearn.datasets.tsdataset.AsynchronousRecord method)
(twodlearn.datasets.tsdataset.TSDataset.BatchNormalizer property)
stddev (twodlearn.bayesnet.bayesnet.McEstimate attribute)
(twodlearn.bayesnet.distributions.MVN attribute)
(twodlearn.bayesnet.distributions.MVNDiag attribute)
stddev() (twodlearn.datasets.tsdataset.TSDataset.DatasetStats property)
step() (twodlearn.reinforce.modelica.modelica_env.ModelicaEnv method)
(twodlearn.reinforce.models.bullet_env.SingleRobotBulletEnv method)
step_fn() (twodlearn.optimv2.BaseOptimizer method)
(twodlearn.optimv2.CheckNan method)
(twodlearn.optimv2.Checkpointable method)
(twodlearn.optimv2.CheckpointableProgress method)
(twodlearn.optimv2.CheckProgress method)
(twodlearn.optimv2.Monitor method)
(twodlearn.optimv2.StatusBar method)
step_op (twodlearn.optim.Optimizer attribute)
(twodlearn.optimv2.BaseOptimizer attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
stop() (twodlearn.optim.DataFeeder method)
stop_at_error() (in module twodlearn.debug)
stop_at_warning() (in module twodlearn.debug)
StridedDeconvNet (class in twodlearn.feedforward)
strides (twodlearn.convnet.Conv2DLayer attribute)
,
[1]
(twodlearn.convnet.Conv2DTranspose attribute)
Submodel (class in twodlearn.core.common)
SubmodelInit (class in twodlearn.core.common)
SubmodelInit.Initializer (class in twodlearn.core.common)
SubmodelWithArgs (class in twodlearn.core.common)
SumFanConstant (class in twodlearn.core.initializers)
SumNormal (class in twodlearn.core.initializers)
Supervised (class in twodlearn.templates.supervised)
SupervisedEstimator (class in twodlearn.templates.supervised)
SupervisedMlModel (class in twodlearn.templates.supervised)
SupervisedObjective (class in twodlearn.templates.mnist.supervised)
(class in twodlearn.templates.supervised)
SupervisedWrapper (class in twodlearn.templates.supervised)
swingup (twodlearn.reinforce.models.cartpole_bullet.CartpoleRobot attribute)
System (class in twodlearn.reinforce.systems)
T
target (twodlearn.losses.QuadraticLoss attribute)
,
[1]
target_perplexity() (twodlearn.unsupervised.Tsne property)
TdlDescriptor (class in twodlearn.core.common)
TdlModel (class in twodlearn.core.common)
TdlModelCallable (class in twodlearn.core.common)
TdlObject (class in twodlearn.core.common)
TdlOp (class in twodlearn.core.common)
TdlProgram (class in twodlearn.core.common)
tensor_rank() (in module twodlearn.core.common)
test (twodlearn.templates.bayesnet.ExplicitGpEstimator attribute)
(twodlearn.templates.bayesnet.GpEstimator attribute)
(twodlearn.templates.bayesnet.VGPEstimator attribute)
(twodlearn.templates.recurrent.Mlp2LstmEstimator attribute)
(twodlearn.templates.supervised.SupervisedEstimator attribute)
test() (twodlearn.datasets.tsdataset.DatasetsSaver property)
(twodlearn.templates.supervised.MlModel property)
tf_monitors() (twodlearn.monitoring.MonitorManager property)
tf_summary() (twodlearn.monitoring.MonitorManager property)
tf_summary_data() (twodlearn.monitoring.ImageMonitor method)
(twodlearn.monitoring.TrainingMonitor method)
tf_summary_op() (twodlearn.monitoring.TrainingMonitor property)
tf_summary_stats() (twodlearn.monitoring.TrainingMonitor method)
tied_weights() (twodlearn.Autoencoder.AutoencoderNet property)
(twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
tmp_path() (twodlearn.templates.supervised.Supervised property)
to_dense() (twodlearn.datasets.tsdataset.TSDataset method)
to_tf_dataset() (twodlearn.datasets.tsdataset.TSDataset method)
tolerance (twodlearn.bayesnet.bayesnet.LinearNormalLayer attribute)
,
[1]
(twodlearn.bayesnet.distributions.MVN attribute)
(twodlearn.bayesnet.gaussian_process.BasisBase attribute)
(twodlearn.bayesnet.gaussian_process.ExplicitVGP attribute)
(twodlearn.bayesnet.gaussian_process.GaussianProcess attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP attribute)
(twodlearn.constrained.PositiveVariable attribute)
,
[1]
(twodlearn.constrained.PositiveVariable2 attribute)
(twodlearn.constrained.PositiveVariableExp attribute)
,
[1]
(twodlearn.linalg.DynamicScaledIdentity attribute)
,
[1]
(twodlearn.linalg.PDMatrix attribute)
,
[1]
(twodlearn.linalg.PDMatrixDiag attribute)
(twodlearn.linalg.PDScaledIdentity attribute)
tolerance() (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.EGpOutput property)
(twodlearn.unsupervised.Tsne property)
TracePrints (class in twodlearn.debug)
TracePrintsSysOut (class in twodlearn.debug)
train (twodlearn.templates.bayesnet.EVGPEstimator attribute)
(twodlearn.templates.bayesnet.GpEstimator attribute)
(twodlearn.templates.bayesnet.VGPEstimator attribute)
(twodlearn.templates.recurrent.Mlp2LstmEstimator attribute)
(twodlearn.templates.supervised.LinearClassifier attribute)
(twodlearn.templates.supervised.MlpClassifier attribute)
(twodlearn.templates.supervised.SupervisedEstimator attribute)
train() (twodlearn.datasets.tsdataset.DatasetsSaver property)
(twodlearn.templates.supervised.MlModel property)
train_step (twodlearn.optimv2.BaseOptimizer attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
TrainingMonitor (class in twodlearn.monitoring)
TrainingMonitorManager (class in twodlearn.monitoring)
transform() (twodlearn.constrained.BoundedVariable method)
(twodlearn.constrained.PositiveVariable method)
(twodlearn.constrained.PositiveVariable2 method)
(twodlearn.constrained.PositiveVariableExp method)
(twodlearn.constrained.TransformedVariable method)
(twodlearn.core.common.BoundedVariable method)
(twodlearn.core.common.PositiveVariable method)
(twodlearn.core.common.PositiveVariable2 method)
(twodlearn.core.common.PositiveVariableExp method)
(twodlearn.core.common.TransformedVariable method)
TransformedVariable (class in twodlearn.constrained)
(class in twodlearn.core.common)
Transpose (class in twodlearn.feedforward)
transpose_output_lenght() (twodlearn.convnet.Conv2DTranspose static method)
transpose_rightmost() (in module twodlearn.core.array)
TransposedAffine (class in twodlearn.Autoencoder)
TransposedFullyConnected (class in twodlearn.Autoencoder)
TransposedMlpNet (class in twodlearn.Autoencoder)
TransposeLayer (class in twodlearn.feedforward)
TSDataset (class in twodlearn.datasets.tsdataset)
TSDataset.BatchNormalizer (class in twodlearn.datasets.tsdataset)
TSDataset.Cursor (class in twodlearn.datasets.tsdataset)
TSDataset.DatasetStats (class in twodlearn.datasets.tsdataset)
TSDatasets (class in twodlearn.datasets.tsdataset)
TSDatasetSaver (class in twodlearn.datasets.tsdataset)
Tsne (class in twodlearn.templates.unsupervised)
(class in twodlearn.unsupervised)
twodlearn (module)
twodlearn.Autoencoder (module)
twodlearn.base (module)
twodlearn.bayesnet (module)
twodlearn.bayesnet.bayesnet (module)
twodlearn.bayesnet.distributions (module)
twodlearn.bayesnet.gaussian_process (module)
twodlearn.bayesnet.linear (module)
twodlearn.bayesnet.losses (module)
twodlearn.bayesnet.recurrent (module)
twodlearn.common (module)
twodlearn.constrained (module)
twodlearn.convnet (module)
twodlearn.core (module)
twodlearn.core.array (module)
twodlearn.core.autoinit (module)
twodlearn.core.common (module)
twodlearn.core.context (module)
twodlearn.core.exceptions (module)
twodlearn.core.initializers (module)
twodlearn.core.layers (module)
twodlearn.core.ops (module)
twodlearn.core.options (module)
twodlearn.core.save (module)
twodlearn.core.search (module)
twodlearn.core.shortcuts (module)
twodlearn.core.variable (module)
twodlearn.datasets (module)
twodlearn.datasets.base (module)
twodlearn.datasets.Batch_generator (module)
twodlearn.datasets.cifar10 (module)
twodlearn.datasets.cyber (module)
twodlearn.datasets.mnist (module)
twodlearn.datasets.tsdataset (module)
twodlearn.datasets.unbalanced (module)
twodlearn.DBM (module)
twodlearn.debug (module)
twodlearn.dense (module)
twodlearn.feedforward (module)
twodlearn.GMM (module)
twodlearn.kernels (module)
twodlearn.linalg (module)
twodlearn.losses (module)
twodlearn.monitoring (module)
twodlearn.normalizer (module)
twodlearn.optim (module)
twodlearn.optimv2 (module)
twodlearn.parallel (module)
twodlearn.recurrent (module)
twodlearn.reinforce (module)
twodlearn.reinforce.modelica (module)
twodlearn.reinforce.modelica.controllers (module)
twodlearn.reinforce.modelica.modelica_env (module)
twodlearn.reinforce.modelica.models (module)
twodlearn.reinforce.models (module)
twodlearn.reinforce.models.acrobot_bullet (module)
twodlearn.reinforce.models.bullet_env (module)
twodlearn.reinforce.models.cartpole_bullet (module)
twodlearn.reinforce.systems (module)
twodlearn.stacked (module)
twodlearn.templates (module)
twodlearn.templates.bayesnet (module)
twodlearn.templates.mnist (module)
twodlearn.templates.mnist.supervised (module)
twodlearn.templates.recurrent (module)
twodlearn.templates.supervised (module)
twodlearn.templates.unsupervised (module)
twodlearn.unsupervised (module)
twodlearn.utils (module)
twodlearn.utils.xarray (module)
U
u_inputs() (twodlearn.bayesnet.recurrent.GaussianMlpCell.Output property)
UnbalancedDataset (class in twodlearn.datasets.unbalanced)
UnconstrainedOptimization (class in twodlearn.templates)
units (twodlearn.bayesnet.bayesnet.LinearNormalLayer attribute)
(twodlearn.bayesnet.gaussian_process.BasisBase attribute)
(twodlearn.convnet.Conv1x1Proj attribute)
,
[1]
(twodlearn.feedforward.AffineLayer attribute)
(twodlearn.feedforward.DenseLayer attribute)
(twodlearn.feedforward.LinearLayer attribute)
,
[1]
unrolled() (twodlearn.recurrent.Rnn.RnnSetup property)
(twodlearn.recurrent.SimpleRnn.RnnOutput property)
UnsetProperty
(class in twodlearn.core.common)
update_data() (twodlearn.datasets.base.Dataset method)
update_props() (twodlearn.datasets.tsdataset.TSDataset method)
upper (twodlearn.feedforward.BoundedOutput attribute)
upper() (twodlearn.feedforward.BoundedOutput.Output property)
use_bias (twodlearn.convnet.Conv1x1Proj attribute)
,
[1]
(twodlearn.convnet.Conv2DLayer attribute)
,
[1]
(twodlearn.convnet.Conv2DTranspose attribute)
V
valid (twodlearn.templates.bayesnet.GpEstimator attribute)
(twodlearn.templates.bayesnet.VGPEstimator attribute)
(twodlearn.templates.supervised.MlpClassifier attribute)
(twodlearn.templates.supervised.SupervisedEstimator attribute)
valid() (twodlearn.datasets.tsdataset.DatasetsSaver property)
(twodlearn.templates.supervised.MlModel property)
value (twodlearn.bayesnet.bayesnet.AffineBernoulliLayer.Output attribute)
(twodlearn.bayesnet.bayesnet.DenseBernoulliLayer.Output attribute)
(twodlearn.bayesnet.bayesnet.LinearNormalLayer.Output attribute)
(twodlearn.bayesnet.gaussian_process.ExplicitVGP.VariationalLoss attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo attribute)
(twodlearn.bayesnet.linear.VLinear.VLinearELBO attribute)
(twodlearn.bayesnet.losses.KLDivergence attribute)
(twodlearn.constrained.PositiveVariable attribute)
(twodlearn.constrained.PositiveVariableExp attribute)
(twodlearn.constrained.TransformedVariable attribute)
,
[1]
(twodlearn.feedforward.AffineLayer.Output attribute)
(twodlearn.feedforward.AlexnetLayer.AlexnetLayerSetup attribute)
(twodlearn.feedforward.DenseLayer.Output attribute)
(twodlearn.feedforward.LinearLayer.Output attribute)
(twodlearn.feedforward.MlpNet.Output attribute)
(twodlearn.feedforward.MultiLayer2DConvolution.Output attribute)
(twodlearn.feedforward.Transpose attribute)
(twodlearn.linalg.Cholesky attribute)
,
[1]
(twodlearn.linalg.PDMatrix attribute)
,
[1]
(twodlearn.linalg.PDMatrixDiag attribute)
(twodlearn.linalg.PDScaledIdentity attribute)
(twodlearn.losses.ClassificationLoss attribute)
,
[1]
(twodlearn.recurrent.LstmCellOptimized.LstmCellSetup attribute)
value() (twodlearn.bayesnet.bayesnet.DenseNormalLayer.Output property)
(twodlearn.bayesnet.bayesnet.Entropy property)
(twodlearn.bayesnet.bayesnet.McNormal property)
(twodlearn.bayesnet.bayesnet.Particles property)
(twodlearn.constrained.ConstrainedVariable property)
(twodlearn.core.common.ConstrainedVariable property)
(twodlearn.core.common.OptionalPropertyWrapper property)
(twodlearn.core.common.TransformedVariable property)
(twodlearn.feedforward.AlexNet.AlexNetSetup property)
(twodlearn.kernels.PairwiseL2 property)
(twodlearn.losses.EmpiricalLossWrapper property)
(twodlearn.losses.Loss property)
var_list (twodlearn.optimv2.BaseOptimizer attribute)
,
[1]
(twodlearn.optimv2.Optimizer attribute)
var_optim() (twodlearn.optim.Optimizer property)
variable (twodlearn.constrained.ConstrainedVariable attribute)
(twodlearn.core.common.ConstrainedVariable attribute)
variable() (in module twodlearn.core.variable)
variables_initializer() (in module twodlearn.core.search)
VariationalGP (class in twodlearn.bayesnet.gaussian_process)
VariationalGP.VGPElbo (class in twodlearn.bayesnet.gaussian_process)
VariationalGP.VGPEstimate (class in twodlearn.bayesnet.gaussian_process)
VariationalGP.VGPInference (class in twodlearn.bayesnet.gaussian_process)
vect2mesh() (twodlearn.core.array.Np2dMesh method)
VGPEstimator (class in twodlearn.templates.bayesnet)
visualize_fit() (twodlearn.templates.recurrent.Mlp2LstmEstimator method)
visualize_predictions() (twodlearn.templates.recurrent.Mlp2LstmEstimator method)
VLinear (class in twodlearn.bayesnet.linear)
VLinear.VLinearELBO (class in twodlearn.bayesnet.linear)
VLinear.VLinearTransform (class in twodlearn.bayesnet.linear)
W
warmup() (twodlearn.optimv2.BaseOptimizer method)
(twodlearn.optimv2.CheckNan method)
(twodlearn.optimv2.Checkpointable method)
(twodlearn.optimv2.CheckpointableProgress method)
(twodlearn.optimv2.CheckProgress method)
(twodlearn.optimv2.Monitor method)
(twodlearn.optimv2.Optimizer method)
(twodlearn.optimv2.Saver method)
(twodlearn.optimv2.StatusBar method)
wd_loss() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
weights (twodlearn.bayesnet.linear.VLinear attribute)
,
[1]
(twodlearn.feedforward.AlexnetLayer attribute)
weights() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
(twodlearn.bayesnet.linear.VLinear.VLinearELBO property)
(twodlearn.bayesnet.linear.VLinear.VLinearTransform property)
(twodlearn.feedforward.AlexNet property)
(twodlearn.feedforward.AlexNet.AlexNetSetup property)
(twodlearn.feedforward.AlexnetLayer.AlexnetLayerSetup property)
(twodlearn.feedforward.LinearClassifier property)
(twodlearn.feedforward.LinearClassifier.LinearClassifierSetup property)
(twodlearn.feedforward.MlpNet property)
(twodlearn.feedforward.MlpNet.Output property)
(twodlearn.feedforward.MultiLayer2DConvolution property)
(twodlearn.feedforward.MultiLayer2DConvolution.Output property)
(twodlearn.losses.L2Regularizer property)
(twodlearn.recurrent.Lstm property)
(twodlearn.recurrent.Lstm2Lstm property)
(twodlearn.recurrent.LstmCellOptimized property)
(twodlearn.recurrent.Mlp2Lstm property)
(twodlearn.recurrent.MultilayerLstmCell property)
weights_kl (twodlearn.bayesnet.linear.VLinear.VLinearELBO attribute)
weights_prior (twodlearn.bayesnet.linear.VLinear attribute)
,
[1]
weights_prior() (twodlearn.bayesnet.linear.VLinear.VLinearELBO property)
(twodlearn.bayesnet.linear.VLinear.VLinearTransform property)
window_size (twodlearn.recurrent.Mlp2Lstm attribute)
window_size() (twodlearn.bayesnet.recurrent.BayesNarx property)
(twodlearn.bayesnet.recurrent.BayesNarx.RnnOutput property)
(twodlearn.bayesnet.recurrent.GaussianMlpCell property)
(twodlearn.recurrent.Mlp2Lstm.Mlp2LstmOutput property)
(twodlearn.recurrent.Narx property)
(twodlearn.recurrent.Narx.NarxSetup property)
with_noise() (twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPPrediction method)
(twodlearn.bayesnet.gaussian_process.GaussianProcess.GPPosterior method)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPEstimate method)
(twodlearn.bayesnet.linear.VLinear.VLinearTransform method)
work_directory() (twodlearn.datasets.cyber.Kdd99Train property)
wrap() (twodlearn.optimv2.BaseOptimizer class method)
write() (twodlearn.debug.TracePrintsSysOut method)
write_data() (twodlearn.monitoring.MonitorManager method)
write_stats() (twodlearn.monitoring.MonitorManager method)
X
x (twodlearn.datasets.base.Dataset attribute)
(twodlearn.losses.GreaterThan attribute)
(twodlearn.losses.LessThan attribute)
,
[1]
(twodlearn.losses.QuadraticLoss attribute)
,
[1]
(twodlearn.recurrent.LstmState attribute)
(twodlearn.unsupervised.Tsne attribute)
x() (twodlearn.bayesnet.recurrent.GaussianMlpCell.Output property)
(twodlearn.datasets.base.Dataset property)
(twodlearn.recurrent.SimpleRnn.RnnOutput property)
x0 (twodlearn.bayesnet.recurrent.BayesNarx.McRnnOutput attribute)
(twodlearn.bayesnet.recurrent.BayesNarx.RnnOutput attribute)
(twodlearn.recurrent.Mlp2Lstm.Mlp2LstmOutput attribute)
(twodlearn.recurrent.Rnn.RnnSetup attribute)
(twodlearn.recurrent.SimpleRnn.RnnOutput attribute)
x0() (twodlearn.recurrent.Lstm2Lstm.Output property)
x1() (twodlearn.kernels.PairwiseL2 property)
x2() (twodlearn.kernels.PairwiseL2 property)
x_inputs() (twodlearn.bayesnet.recurrent.GaussianMlpCell.Output property)
xm (twodlearn.bayesnet.gaussian_process.ExplicitVGP attribute)
(twodlearn.bayesnet.gaussian_process.GaussianProcess attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP attribute)
xm() (twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPInference property)
(twodlearn.bayesnet.gaussian_process.GaussianProcess.GpOutput property)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo property)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPInference property)
Y
y (twodlearn.datasets.base.Dataset attribute)
(twodlearn.recurrent.Lstm.LstmSetup.LstmStateAndOutput attribute)
(twodlearn.unsupervised.Tsne attribute)
y() (twodlearn.Autoencoder.AutoencoderNet.AutoencoderNetSetup property)
(twodlearn.bayesnet.bayesnet.GaussianNegLogLikelihood property)
(twodlearn.bayesnet.recurrent.GaussianMlpCell.Output property)
(twodlearn.datasets.base.Dataset property)
(twodlearn.feedforward.AlexnetLayer.AlexnetLayerSetup property)
(twodlearn.feedforward.MultiLayer2DConvolution.Output property)
(twodlearn.losses.L2Loss property)
(twodlearn.recurrent.Lstm2Lstm.Output property)
(twodlearn.recurrent.SimpleRnn.RnnOutput property)
y_scale (twodlearn.bayesnet.gaussian_process.ExplicitVGP attribute)
(twodlearn.bayesnet.gaussian_process.ExplicitVGP.EVGPInference attribute)
(twodlearn.bayesnet.gaussian_process.GaussianProcess attribute)
(twodlearn.bayesnet.gaussian_process.GaussianProcess.GpOutput attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP attribute)
(twodlearn.bayesnet.gaussian_process.VariationalGP.VGPInference attribute)
(twodlearn.bayesnet.linear.VLinear.VLinearTransform attribute)
(twodlearn.kernels.GaussianKernel attribute)
,
[1]
y_scale() (twodlearn.bayesnet.gaussian_process.VariationalGP.VGPElbo property)
(twodlearn.bayesnet.linear.VLinear.VLinearELBO property)
yCy (twodlearn.bayesnet.gaussian_process.GpWithExplicitMean.MarginalOutput attribute)
ym (twodlearn.bayesnet.gaussian_process.GaussianProcess attribute)
ym() (twodlearn.bayesnet.gaussian_process.GaussianProcess.GpOutput property)