Index
_
|
A
|
C
|
D
|
E
|
F
|
G
|
I
|
L
|
M
|
N
|
P
|
S
|
T
|
W
_
_AggregatedIMNN (class in imnn.imnn._aggregated_imnn)
_bytes_feature() (imnn.TFRecords method)
_calculate_F_statistics() (imnn.imnn._imnn._IMNN method)
_calculate_loss() (imnn.imnn._imnn._IMNN method)
_check_loop_vars() (imnn.imnn._imnn._IMNN method)
_collect_input() (imnn.AggregatedGradientIMNN method)
(imnn.AggregatedNumericalGradientIMNN method)
(imnn.AggregatedSimulatorIMNN method)
(imnn.imnn._aggregated_imnn._AggregatedIMNN method)
(imnn.NumericalGradientIMNN method)
_construct_derivatives() (imnn.imnn._imnn._IMNN method)
(imnn.NumericalGradientIMNN method)
_construct_gradient() (imnn.imnn._aggregated_imnn._AggregatedIMNN method)
_fit() (imnn.imnn._imnn._IMNN method)
_fit_cond() (imnn.imnn._imnn._IMNN method)
_get_batch_summaries() (imnn.imnn._aggregated_imnn._AggregatedIMNN method)
_get_F_statistics() (imnn.imnn._imnn._IMNN method)
_get_fitting_keys() (imnn.imnn._imnn._IMNN method)
(imnn.SimulatorIMNN method)
_get_loss() (imnn.imnn._imnn._IMNN method)
_get_regularisation() (imnn.imnn._imnn._IMNN method)
_get_regularisation_strength() (imnn.imnn._imnn._IMNN method)
_IMNN (class in imnn.imnn._imnn)
_initialise_history() (imnn.imnn._imnn._IMNN method)
_initialise_model() (imnn.imnn._imnn._IMNN method)
_initialise_parameters() (imnn.imnn._imnn._IMNN method)
_int64_feature() (imnn.TFRecords method)
_scatter_plot() (imnn.lfi.LikelihoodFreeInference method)
_set_batch_functions() (imnn.AggregatedNumericalGradientIMNN method)
(imnn.imnn._aggregated_imnn._AggregatedIMNN method)
_set_data() (imnn.DatasetGradientIMNN method)
(imnn.DatasetNumericalGradientIMNN method)
(imnn.GradientIMNN method)
(imnn.NumericalGradientIMNN method)
_set_dataset() (imnn.AggregatedGradientIMNN method)
(imnn.AggregatedNumericalGradientIMNN method)
(imnn.DatasetGradientIMNN method)
(imnn.DatasetNumericalGradientIMNN method)
_set_devices() (imnn.imnn._aggregated_imnn._AggregatedIMNN method)
_set_history() (imnn.imnn._imnn._IMNN method)
_set_inputs() (imnn.imnn._imnn._IMNN method)
_set_prebuilt_dataset() (imnn.DatasetGradientIMNN method)
_set_shapes() (imnn.AggregatedGradientIMNN method)
(imnn.AggregatedNumericalGradientIMNN method)
(imnn.AggregatedSimulatorIMNN method)
(imnn.imnn._aggregated_imnn._AggregatedIMNN method)
_setup_plot() (imnn.imnn._imnn._IMNN method)
_setup_progress_bar() (imnn.imnn._aggregated_imnn._AggregatedIMNN method)
_slogdet() (imnn.imnn._imnn._IMNN method)
_split_dΛ_dx() (imnn.AggregatedGradientIMNN method)
(imnn.AggregatedNumericalGradientIMNN method)
(imnn.AggregatedSimulatorIMNN method)
(imnn.imnn._aggregated_imnn._AggregatedIMNN method)
_update_history() (imnn.imnn._imnn._IMNN method)
_update_loop_vars() (imnn.imnn._imnn._IMNN method)
_update_progress_bar() (imnn.imnn._aggregated_imnn._AggregatedIMNN method)
A
AggregatedGradientIMNN (class in imnn)
AggregatedNumericalGradientIMNN (class in imnn)
AggregatedSimulatorIMNN (class in imnn)
ApproximateBayesianComputation (class in imnn.lfi)
C
check_func() (imnn.TFRecords method)
check_params() (imnn.TFRecords method)
check_size() (imnn.TFRecords method)
compressor() (imnn.lfi.ApproximateBayesianComputation method)
D
DatasetGradientIMNN (class in imnn)
DatasetNumericalGradientIMNN (class in imnn)
derivative_parser() (imnn.TFRecords method)
derivative_serialiser() (imnn.TFRecords method)
E
euclidean_distance() (imnn.lfi.ApproximateBayesianComputation method)
F
F_distance() (imnn.lfi.ApproximateBayesianComputation method)
fiducial_serialiser() (imnn.TFRecords method)
fit() (imnn.imnn._aggregated_imnn._AggregatedIMNN method)
(imnn.imnn._imnn._IMNN method)
G
GaussianApproximation (class in imnn.lfi)
get_estimate() (imnn.imnn._imnn._IMNN method)
get_file() (imnn.TFRecords method)
get_gradient() (imnn.AggregatedGradientIMNN method)
(imnn.AggregatedNumericalGradientIMNN method)
(imnn.AggregatedSimulatorIMNN method)
(imnn.imnn._aggregated_imnn._AggregatedIMNN method)
get_gridsize() (imnn.lfi.LikelihoodFreeInference method)
get_initial_seed() (imnn.TFRecords method)
get_levels() (imnn.lfi.LikelihoodFreeInference method)
get_marginals() (imnn.lfi.ApproximateBayesianComputation method)
(imnn.lfi.GaussianApproximation method)
get_min_accepted() (imnn.lfi.ApproximateBayesianComputation method)
get_samples() (imnn.lfi.ApproximateBayesianComputation method)
get_seed() (imnn.TFRecords method)
get_serialiser() (imnn.TFRecords method)
get_summaries() (imnn.AggregatedGradientIMNN method)
(imnn.AggregatedNumericalGradientIMNN method)
(imnn.AggregatedSimulatorIMNN method)
(imnn.GradientIMNN method)
(imnn.imnn._aggregated_imnn._AggregatedIMNN method)
(imnn.imnn._imnn._IMNN method)
(imnn.NumericalGradientIMNN method)
(imnn.SimulatorIMNN method)
get_summary() (imnn.AggregatedGradientIMNN method)
(imnn.AggregatedNumericalGradientIMNN method)
(imnn.AggregatedSimulatorIMNN method)
get_α() (imnn.imnn._imnn._IMNN method)
GradientIMNN (class in imnn)
I
IMNN() (in module imnn)
L
LikelihoodFreeInference (class in imnn.lfi)
M
marginal_plot() (imnn.lfi.LikelihoodFreeInference method)
move_samples() (imnn.lfi.PopulationMonteCarlo method)
N
numerical_derivative_parser() (imnn.TFRecords method)
NumericalGradientIMNN (class in imnn)
P
parser() (imnn.TFRecords method)
plot() (imnn.imnn._imnn._IMNN method)
PopulationMonteCarlo (class in imnn.lfi)
prior() (imnn.lfi.LikelihoodFreeInference method)
put_marginals() (imnn.lfi.LikelihoodFreeInference method)
S
scatter_plot() (imnn.lfi.ApproximateBayesianComputation method)
scatter_summaries() (imnn.lfi.ApproximateBayesianComputation method)
set_accepted() (imnn.lfi.ApproximateBayesianComputation method)
(imnn.lfi.PopulationMonteCarlo method)
set_F_statistics() (imnn.imnn._imnn._IMNN method)
set_marginals() (imnn.lfi.ApproximateBayesianComputation method)
set_samples() (imnn.lfi.ApproximateBayesianComputation method)
(imnn.lfi.PopulationMonteCarlo method)
setup_plot() (imnn.lfi.LikelihoodFreeInference method)
simulator() (imnn.lfi.ApproximateBayesianComputation method)
SimulatorIMNN (class in imnn)
T
target_choice() (imnn.lfi.LikelihoodFreeInference method)
TFRecords (class in imnn)
W
write_record() (imnn.TFRecords method)
Information Maximising Neural Network
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Contents:
IMNN: Information maximising neural networks
Installing
Examples
Specific IMNN classes
Parent classes
Using tf.data.Datasets for loading
Likelihood-free inference modules
Related Topics
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