unlockNN Documentation
Index
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A
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C
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D
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E
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K
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L
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M
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N
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P
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S
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T
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U
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V
_
__init__() (unlocknn.kernel_layers.AmpAndLengthScaleFn method)
(unlocknn.kernel_layers.KernelLayer method)
_amplitude_basis (unlocknn.kernel_layers.AmpAndLengthScaleFn attribute)
_length_scale_basis (unlocknn.kernel_layers.AmpAndLengthScaleFn attribute)
A
AmpAndLengthScaleFn (class in unlocknn.kernel_layers)
amplitude (unlocknn.kernel_layers.AmpAndLengthScaleFn property)
AVAILABLE_METRICS (in module unlocknn.metrics)
C
call() (unlocknn.kernel_layers.KernelLayer method)
ckpt_callback() (unlocknn.model.ProbNN method)
compile() (unlocknn.model.ProbNN method)
config (unlocknn.kernel_layers.KernelLayer property)
(unlocknn.model.ProbNN property)
CONFIG_VARS (unlocknn.model.ProbNN attribute)
create_megnet_input() (in module unlocknn.megnet_utils)
D
default_megnet_config() (in module unlocknn.megnet_utils)
E
evaluate() (unlocknn.model.MEGNetProbModel method)
evaluate_uq_metrics() (in module unlocknn.metrics)
K
kernel (unlocknn.kernel_layers.KernelLayer property)
KernelLayer (class in unlocknn.kernel_layers)
L
length_scale (unlocknn.kernel_layers.AmpAndLengthScaleFn property)
load() (unlocknn.model.MEGNetProbModel class method)
(unlocknn.model.ProbNN class method)
load_data() (in module unlocknn.download)
load_kernel() (in module unlocknn.kernel_layers)
load_pretrained() (in module unlocknn.download)
M
MEGNetProbModel (class in unlocknn.model)
module
unlocknn
N
neg_log_likelihood() (in module unlocknn.metrics)
nn_frozen (unlocknn.model.MEGNetProbModel property)
(unlocknn.model.ProbNN property)
norm_frozen (unlocknn.model.MEGNetProbModel property)
(unlocknn.model.ProbNN property)
P
predict() (unlocknn.model.MEGNetProbModel method)
(unlocknn.model.ProbNN method)
ProbNN (class in unlocknn.model)
S
SampleInitializer (class in unlocknn.initializers)
save() (unlocknn.kernel_layers.KernelLayer method)
(unlocknn.model.MEGNetProbModel method)
(unlocknn.model.ProbNN method)
save_kernel() (unlocknn.model.ProbNN method)
save_struct_data() (in module unlocknn.download)
scale_targets() (in module unlocknn.megnet_utils)
set_frozen() (unlocknn.model.MEGNetProbModel method)
(unlocknn.model.ProbNN method)
sharpness() (in module unlocknn.metrics)
T
train() (unlocknn.model.MEGNetProbModel method)
(unlocknn.model.ProbNN method)
U
unlocknn
module
update_pred_model() (unlocknn.model.ProbNN method)
V
variation() (in module unlocknn.metrics)
vgp_frozen (unlocknn.model.MEGNetProbModel property)
(unlocknn.model.ProbNN property)
Home
Quickstart for MEGNet users
GitHub
Modules
Probabilistic models
The ProbNN API
MEGNet probabilistic model
Kernel layers
Built-in kernels
Extending the kernels API
Evaluating metrics
Uncertainty quantifier-specific metrics
MEGNet utilities
Backend functions
Download example files
Adding new example files
Inducing index points initializers
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