PyBlaze
2.3.2
Basics
Training a Classifier
Multiprocessing Module
Generative Models (WIP)
Variational Autoencoders
Wasserstein GAN
Normalizing Flows
Package Reference
Callbacks
Data
Engines
Functional
Modules
Multiprocessing
Optimizers
Plotting
Utils
PyBlaze
»
Index
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
P
|
R
|
S
|
T
|
V
|
W
|
Z
_
__init__() (pyblaze.multiprocessing.vectorize.Vectorizer method)
(pyblaze.nn.AffineCouplingTransform1d method)
(pyblaze.nn.AffineTransform method)
(pyblaze.nn.AutoencoderEngine method)
(pyblaze.nn.BatchNormTransform1d method)
(pyblaze.nn.BatchProgressLogger method)
(pyblaze.nn.CallbackException method)
(pyblaze.nn.EarlyStopping method)
(pyblaze.nn.Engine method)
(pyblaze.nn.EpochProgressLogger method)
(pyblaze.nn.GradientPenalty method)
(pyblaze.nn.LabeledNoiseDataset method)
(pyblaze.nn.LearningRateScheduler method)
(pyblaze.nn.LinearResidual method)
(pyblaze.nn.MADE method)
(pyblaze.nn.MaskedAutoregressiveTransform1d method)
(pyblaze.nn.MLEEngine method)
(pyblaze.nn.ModelSaverCallback method)
(pyblaze.nn.NeptuneTracker method)
(pyblaze.nn.NoiseDataset method)
,
[1]
(pyblaze.nn.NormalizingFlow method)
(pyblaze.nn.ParameterScheduler method)
(pyblaze.nn.PlanarTransform method)
(pyblaze.nn.PredictionProgressLogger method)
(pyblaze.nn.RadialTransform method)
(pyblaze.nn.StackedLSTM method)
(pyblaze.nn.StackedLSTMCell method)
(pyblaze.nn.TensorboardTracker method)
(pyblaze.nn.TransformedGmmLoss method)
(pyblaze.nn.TransformedNormalLoss method)
(pyblaze.nn.VAELoss method)
(pyblaze.nn.View method)
(pyblaze.nn.WassersteinLossCritic method)
(pyblaze.nn.WGANEngine method)
(pyblaze.nn.ZipDataLoader method)
(pyblaze.optim.lamb.LAMB method)
(pyblaze.utils.ProgressBar method)
A
accuracy() (in module pyblaze.nn.functional)
AffineCouplingTransform1d (class in pyblaze.nn)
AffineTransform (class in pyblaze.nn)
after_batch() (pyblaze.nn.PredictionCallback method)
(pyblaze.nn.TrainingCallback method)
after_epoch() (pyblaze.nn.TrainingCallback method)
after_predictions() (pyblaze.nn.PredictionCallback method)
after_training() (pyblaze.nn.TrainingCallback method)
AutoencoderEngine (class in pyblaze.nn)
average_precision() (in module pyblaze.nn.functional)
B
BatchNormTransform1d (class in pyblaze.nn)
BatchProgressLogger (class in pyblaze.nn)
before_epoch() (pyblaze.nn.TrainingCallback method)
before_predictions() (pyblaze.nn.PredictionCallback method)
(pyblaze.nn.PredictionProgressLogger method)
before_training() (pyblaze.nn.TrainingCallback method)
C
CallbackException (class in pyblaze.nn)
collate_evals() (pyblaze.nn.Engine method)
collate_losses() (pyblaze.nn.Engine method)
collate_predictions() (pyblaze.nn.Engine method)
D
density_plot2d() (in module pyblaze.plot.density)
duration() (pyblaze.nn.engine._history.History property)
E
EarlyStopping (class in pyblaze.nn)
Engine (class in pyblaze.nn)
engine() (pyblaze.nn.Estimator property)
EpochProgressLogger (class in pyblaze.nn)
Estimator (class in pyblaze.nn)
eval_batch() (pyblaze.nn.Engine method)
evaluate() (pyblaze.nn.Engine method)
(pyblaze.nn.Estimator method)
F
f1_score() (in module pyblaze.nn.functional)
finish() (pyblaze.utils.ProgressBar method)
fit() (pyblaze.nn.Estimator method)
forward() (pyblaze.nn.AffineCouplingTransform1d method)
(pyblaze.nn.AffineTransform method)
(pyblaze.nn.BatchNormTransform1d method)
(pyblaze.nn.GradientPenalty method)
(pyblaze.nn.LinearResidual method)
(pyblaze.nn.MADE method)
(pyblaze.nn.MaskedAutoregressiveTransform1d method)
(pyblaze.nn.NormalizingFlow method)
(pyblaze.nn.PlanarTransform method)
(pyblaze.nn.RadialTransform method)
(pyblaze.nn.StackedLSTM method)
(pyblaze.nn.StackedLSTMCell method)
(pyblaze.nn.TransformedGmmLoss method)
(pyblaze.nn.TransformedNormalLoss method)
(pyblaze.nn.VAELoss method)
(pyblaze.nn.View method)
(pyblaze.nn.WassersteinLossCritic method)
(pyblaze.nn.WassersteinLossGenerator method)
G
GradientPenalty (class in pyblaze.nn)
gumbel_softmax() (in module pyblaze.nn.functional)
H
History (class in pyblaze.nn.engine._history)
I
inspect() (pyblaze.nn.engine._history.History method)
interpolate() (pyblaze.nn.GradientPenalty method)
K
keys() (pyblaze.nn.engine._history.History property)
L
LabeledNoiseDataset (class in pyblaze.nn)
LAMB (class in pyblaze.optim.lamb)
LearningRateScheduler (class in pyblaze.nn)
LinearResidual (class in pyblaze.nn)
load() (pyblaze.nn.engine._history.History class method)
loader() (in module pyblaze.nn.data.extensions)
log_metric() (pyblaze.nn.NeptuneTracker method)
(pyblaze.nn.TensorboardTracker method)
log_prob_standard_gmm() (in module pyblaze.nn.functional)
log_prob_standard_normal() (in module pyblaze.nn.functional)
M
MADE (class in pyblaze.nn)
MaskedAutoregressiveTransform1d (class in pyblaze.nn)
MLEEngine (class in pyblaze.nn)
ModelSaverCallback (class in pyblaze.nn)
module
pyblaze.multiprocessing.vectorize
pyblaze.optim.lamb
pyblaze.plot.density
N
NeptuneTracker (class in pyblaze.nn)
NoiseDataset (class in pyblaze.nn)
,
[1]
NormalizingFlow (class in pyblaze.nn)
P
ParameterScheduler (class in pyblaze.nn)
PlanarTransform (class in pyblaze.nn)
precision() (in module pyblaze.nn.functional)
predict() (pyblaze.nn.Engine method)
(pyblaze.nn.Estimator method)
predict_batch() (pyblaze.nn.AutoencoderEngine method)
(pyblaze.nn.Engine method)
(pyblaze.nn.MLEEngine method)
(pyblaze.nn.WGANEngine method)
PredictionCallback (class in pyblaze.nn)
PredictionProgressLogger (class in pyblaze.nn)
prepare_input() (pyblaze.nn.Estimator method)
print() (pyblaze.nn.CallbackException method)
process() (pyblaze.multiprocessing.vectorize.Vectorizer method)
ProgressBar (class in pyblaze.utils)
pyblaze.multiprocessing.vectorize
module
pyblaze.optim.lamb
module
pyblaze.plot.density
module
R
RadialTransform (class in pyblaze.nn)
random_split() (in module pyblaze.nn.data.extensions)
read() (pyblaze.nn.ValueTrainingCallback method)
recall() (in module pyblaze.nn.functional)
reset_parameters() (pyblaze.nn.AffineTransform method)
(pyblaze.nn.BatchNormTransform1d method)
(pyblaze.nn.PlanarTransform method)
(pyblaze.nn.RadialTransform method)
roc_auc_score() (in module pyblaze.nn.functional)
S
save() (pyblaze.nn.engine._history.History method)
softround() (in module pyblaze.nn.functional)
split() (in module pyblaze.nn.data.extensions)
StackedLSTM (class in pyblaze.nn)
StackedLSTMCell (class in pyblaze.nn)
start() (pyblaze.utils.ProgressBar method)
step() (pyblaze.optim.lamb.LAMB method)
(pyblaze.utils.ProgressBar method)
supports_multiple_gpus() (pyblaze.nn.Engine method)
T
TensorboardTracker (class in pyblaze.nn)
to_device() (pyblaze.nn.Engine method)
train() (pyblaze.nn.Engine method)
train_batch() (pyblaze.nn.Engine method)
TrainingCallback (class in pyblaze.nn)
TransformedGmmLoss (class in pyblaze.nn)
TransformedNormalLoss (class in pyblaze.nn)
V
VAELoss (class in pyblaze.nn)
ValueTrainingCallback (class in pyblaze.nn)
Vectorizer (class in pyblaze.multiprocessing.vectorize)
View (class in pyblaze.nn)
W
WassersteinLossCritic (class in pyblaze.nn)
WassersteinLossGenerator (class in pyblaze.nn)
WGANEngine (class in pyblaze.nn)
Z
ZipDataLoader (class in pyblaze.nn)