luz
9.0.0
Contents:
luz
luz
»
Index
Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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K
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
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W
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Y
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Z
A
Accuracy (class in luz.metrics)
ActualVsPredicted (class in luz.callbacks)
AdditiveAttention (class in luz.modules)
AdditiveNodeAttention (class in luz.modules)
adjacency() (in module luz.utils)
aggregate_mask() (in module luz.utils)
ApplyFunction (class in luz.modules)
Argmax (class in luz.transforms)
AverageGraphPool (class in luz.modules)
B
backward() (Learner method)
BaseLearner (class in luz.predictors)
BaseTuner (class in luz.predictors)
BATCH_ENDED (Event attribute)
batch_ended() (ActualVsPredicted method)
(Callback method)
(LogMetrics method)
(Loss method)
(Progress method)
BATCH_STARTED (Event attribute)
batch_started() (Callback method)
batchwise_edge_mean() (in module luz.utils)
batchwise_edge_sum() (in module luz.utils)
batchwise_mask() (in module luz.utils)
batchwise_node_mean() (in module luz.utils)
batchwise_node_sum() (in module luz.utils)
C
Callback (class in luz.callbacks)
callbacks() (Learner method)
Center (class in luz.transforms)
Compose (class in luz.transforms)
compute() (Accuracy method)
(DurbinWatson method)
(FBeta method)
(Max method)
(MeanStd method)
(Metric method)
(Min method)
ConcatDataset (class in luz.datasets)
Concatenate (class in luz.modules)
ConsoleLogger (class in luz.loggers)
criterion() (BaseLearner method)
CrossValidation (class in luz.scorers)
cumulative_sizes (ConcatDataset attribute)
D
Data (class in luz.datasets)
Dataset (class in luz.datasets)
dataset (Subset attribute)
datasets (ConcatDataset attribute)
default_collate() (in module luz.datasets)
Dense (class in luz.modules)
DenseRNN (class in luz.modules)
dot_product_attention() (in module luz.utils)
DotProductAttention (class in luz.modules)
DurbinWatson (class in luz.metrics)
E
EdgeAggregateGlobal (class in luz.modules)
EdgeAggregateGlobalHead (class in luz.modules)
EdgeAggregateLocal (class in luz.modules)
EdgeAggregateLocalHead (class in luz.modules)
ElmanRNN (class in luz.modules)
EPOCH_ENDED (Event attribute)
epoch_ended() (Callback method)
(LogMetrics method)
(Timer method)
EPOCH_STARTED (Event attribute)
epoch_started() (Callback method)
(LogMetrics method)
(Loss method)
(Progress method)
(Timer method)
eval() (Model method)
evaluate() (Learner method)
Event (class in luz.events)
expand_path() (in module luz.utils)
F
FBeta (class in luz.metrics)
FileLogger (class in luz.loggers)
fit() (Compose method)
(Learner method)
(Transform method)
(YeoJohnson method)
fit_params() (BaseLearner method)
Flag (class in luz.flags)
FolderDataset (class in luz.datasets)
forward() (AdditiveAttention method)
(AdditiveNodeAttention method)
(ApplyFunction method)
(Argmax method)
(AverageGraphPool method)
(Compose method)
(Concatenate method)
(Dense method)
(DenseRNN method)
(DotProductAttention method)
(EdgeAggregateGlobal method)
(EdgeAggregateGlobalHead method)
(EdgeAggregateLocal method)
(EdgeAggregateLocalHead method)
(ElmanRNN method)
(GraphConv method)
(GraphConvAttention method)
(GraphNetwork method)
(Identity method)
(Lookup method)
(MaskedSoftmax method)
(Model method)
(NanToNum method)
(NodeAggregate method)
(NormalizePerTensor method)
(PowerSeries method)
(Reshape method)
(Squeeze method)
(Transform method)
(Transpose method)
(Unsqueeze method)
(YeoJohnson method)
(ZeroMeanPerTensor method)
G
get_target() (Learner method)
get_trial() (BaseTuner method)
(GridSearchTuner method)
(RandomSearchTuner method)
graph_collate() (in module luz.datasets)
GraphConv (class in luz.modules)
GraphConvAttention (class in luz.modules)
GraphNetwork (class in luz.modules)
GridSearchTuner (class in luz.tuners)
H
Holdout (class in luz.scorers)
hparams() (BaseTuner method)
I
Identity (class in luz.transforms)
in_degree() (in module luz.utils)
indices (Subset attribute)
input_transform() (Learner method)
int_length() (in module luz.utils)
inverse() (Compose method)
(Identity method)
(Squeeze method)
(TensorTransform method)
(Transpose method)
(Unsqueeze method)
K
keys (Data property)
L
learn() (Learner method)
Learner (class in luz.learner)
learner() (BaseTuner method)
load() (Model method)
load_state_dict() (Learner method)
loader() (Learner method)
log() (Callback method)
(ConsoleLogger method)
(FileLogger method)
(Logger method)
Logger (class in luz.loggers)
loggers() (Learner method)
LogMetrics (class in luz.callbacks)
Lookup (class in luz.transforms)
Loss (class in luz.callbacks)
luz
module
luz.callbacks
module
luz.datasets
module
luz.events
module
luz.flags
module
luz.learner
module
luz.loggers
module
luz.metrics
module
luz.model
module
luz.modules
module
luz.predictors
module
luz.scorers
module
luz.transforms
module
luz.tuners
module
luz.utils
module
M
masked_softmax() (in module luz.utils)
MaskedSoftmax (class in luz.modules)
Max (class in luz.metrics)
MeanStd (class in luz.metrics)
memoize() (in module luz.utils)
Metric (class in luz.metrics)
metrics() (Learner method)
Min (class in luz.metrics)
mkdir_safe() (in module luz.utils)
Model (class in luz.model)
model (Score attribute)
model() (BaseLearner method)
module
luz
luz.callbacks
luz.datasets
luz.events
luz.flags
luz.learner
luz.loggers
luz.metrics
luz.model
luz.modules
luz.predictors
luz.scorers
luz.transforms
luz.tuners
luz.utils
N
NanToNum (class in luz.transforms)
NodeAggregate (class in luz.modules)
nodewise_edge_mean() (in module luz.utils)
nodewise_edge_sum() (in module luz.utils)
nodewise_mask() (in module luz.utils)
Normalize (class in luz.transforms)
NormalizePerTensor (class in luz.transforms)
num_parameters (Model property)
O
optimizer() (BaseLearner method)
optimizer_step() (Learner method)
out_degree() (in module luz.utils)
output_transform() (Learner method)
P
PlotHistory (class in luz.callbacks)
PowerSeries (class in luz.transforms)
predict() (Learner method)
(Model method)
Progress (class in luz.callbacks)
R
RandomSearchTuner (class in luz.tuners)
remove_self_loops() (in module luz.utils)
reset() (Accuracy method)
(DurbinWatson method)
(FBeta method)
(Max method)
(MeanStd method)
(Metric method)
(Min method)
Reshape (class in luz.transforms)
run_batch() (BaseLearner method)
run_epoch() (Learner method)
run_test_batch() (Learner method)
run_train_batch() (Learner method)
run_validate_batch() (Learner method)
S
save() (Model method)
Score (class in luz.scorers)
score (Score attribute)
score() (CrossValidation method)
(Holdout method)
(Scorer method)
Scorer (class in luz.scorers)
scorer() (BaseTuner method)
set_seed() (in module luz.utils)
Squeeze (class in luz.transforms)
Standardize (class in luz.transforms)
state_dict() (Learner method)
Subset (class in luz.datasets)
T
temporary_seed() (in module luz.utils)
TensorDataset (class in luz.datasets)
TensorTransform (class in luz.transforms)
test_callbacks() (Learner method)
test_loader() (Learner method)
test_loggers() (Learner method)
TESTING (Flag attribute)
TESTING_ENDED (Event attribute)
testing_ended() (ActualVsPredicted method)
(Callback method)
(Progress method)
TESTING_STARTED (Event attribute)
testing_started() (ActualVsPredicted method)
(Callback method)
(Progress method)
Timer (class in luz.callbacks)
to() (Data method)
train_callbacks() (Learner method)
train_loader() (Learner method)
train_loggers() (Learner method)
training (AdditiveAttention attribute)
(AdditiveNodeAttention attribute)
(ApplyFunction attribute)
(Argmax attribute)
(AverageGraphPool attribute)
(Center attribute)
(Compose attribute)
(Concatenate attribute)
(Dense attribute)
(DenseRNN attribute)
(DotProductAttention attribute)
(EdgeAggregateGlobal attribute)
(EdgeAggregateGlobalHead attribute)
(EdgeAggregateLocal attribute)
(EdgeAggregateLocalHead attribute)
(ElmanRNN attribute)
TRAINING (Flag attribute)
training (GraphConv attribute)
(GraphConvAttention attribute)
(GraphNetwork attribute)
(Identity attribute)
(Lookup attribute)
(MaskedSoftmax attribute)
(Model attribute)
(NanToNum attribute)
(NodeAggregate attribute)
(Normalize attribute)
(NormalizePerTensor attribute)
(PowerSeries attribute)
(Reshape attribute)
(Squeeze attribute)
(Standardize attribute)
(TensorTransform attribute)
(Transform attribute)
(Transpose attribute)
(Unsqueeze attribute)
(YeoJohnson attribute)
(ZeroMeanPerTensor attribute)
TRAINING_ENDED (Event attribute)
training_ended() (Callback method)
(PlotHistory method)
(Progress method)
TRAINING_STARTED (Event attribute)
training_started() (Callback method)
(Progress method)
Transform (class in luz.transforms)
Transpose (class in luz.transforms)
U
UnpackDataset (class in luz.datasets)
Unsqueeze (class in luz.transforms)
update() (Accuracy method)
(DurbinWatson method)
(FBeta method)
(Max method)
(MeanStd method)
(Metric method)
(Min method)
V
val_loader() (Learner method)
VALIDATING (Flag attribute)
VALIDATING_ENDED (Event attribute)
validating_ended() (Callback method)
VALIDATING_STARTED (Event attribute)
validating_started() (Callback method)
W
WrapperDataset (class in luz.datasets)
Y
YeoJohnson (class in luz.transforms)
Z
ZeroMeanPerTensor (class in luz.transforms)