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abcpy package
abcpy
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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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__add__() (abcpy.probabilisticmodels.ProbabilisticModel method)
__init__() (abcpy.acceptedparametersmanager.AcceptedParametersManager method)
(abcpy.NN_utilities.datasets.ParameterSimulationPairs method)
(abcpy.NN_utilities.datasets.SiameseSimilarities method)
(abcpy.NN_utilities.datasets.Similarities method)
(abcpy.NN_utilities.datasets.TripletSimilarities method)
(abcpy.NN_utilities.losses.ContrastiveLoss method)
(abcpy.NN_utilities.losses.TripletLoss method)
(abcpy.NN_utilities.networks.DiscardLastOutputNet method)
(abcpy.NN_utilities.networks.ScalerAndNet method)
(abcpy.NN_utilities.networks.SiameseNet method)
(abcpy.NN_utilities.networks.TripletNet method)
(abcpy.approx_lhd.Approx_likelihood method)
(abcpy.approx_lhd.PenLogReg method)
(abcpy.approx_lhd.SemiParametricSynLikelihood method)
(abcpy.approx_lhd.SynLikelihood method)
(abcpy.backends.base.BDS method)
(abcpy.backends.base.BDSDummy method)
(abcpy.backends.base.BackendDummy method)
(abcpy.backends.base.PDS method)
(abcpy.backends.base.PDSDummy method)
(abcpy.backends.spark.BDSSpark method)
(abcpy.backends.spark.BackendSpark method)
(abcpy.backends.spark.PDSSpark method)
(abcpy.continuousmodels.Exponential method)
(abcpy.continuousmodels.LogNormal method)
(abcpy.continuousmodels.MultiStudentT method)
(abcpy.continuousmodels.MultivariateNormal method)
(abcpy.continuousmodels.Normal method)
(abcpy.continuousmodels.StudentT method)
(abcpy.continuousmodels.Uniform method)
(abcpy.discretemodels.Bernoulli method)
(abcpy.discretemodels.Binomial method)
(abcpy.discretemodels.DiscreteUniform method)
(abcpy.discretemodels.Poisson method)
(abcpy.distances.Distance method)
(abcpy.distances.EnergyDistance method)
(abcpy.distances.Euclidean method)
(abcpy.distances.GammaDivergence method)
(abcpy.distances.KLDivergence method)
(abcpy.distances.LogReg method)
(abcpy.distances.MMD method)
(abcpy.distances.PenLogReg method)
(abcpy.distances.SlicedWasserstein method)
(abcpy.distances.SquaredHellingerDistance method)
(abcpy.distances.Wasserstein method)
(abcpy.modelselections.ModelSelections method)
(abcpy.modelselections.RandomForest method)
(abcpy.output.GenerateFromJournal method)
(abcpy.output.Journal method)
(abcpy.perturbationkernel.DefaultKernel method)
(abcpy.perturbationkernel.JointPerturbationKernel method)
(abcpy.perturbationkernel.MultivariateNormalKernel method)
(abcpy.perturbationkernel.MultivariateStudentTKernel method)
(abcpy.perturbationkernel.NetworkRandomWalkKernel method)
(abcpy.perturbationkernel.PerturbationKernel method)
(abcpy.perturbationkernel.RandomWalkKernel method)
(abcpy.probabilisticmodels.ExponentialModel method)
(abcpy.probabilisticmodels.Hyperparameter method)
(abcpy.probabilisticmodels.InputConnector method)
(abcpy.probabilisticmodels.ModelResultingFromOperation method)
(abcpy.probabilisticmodels.ProbabilisticModel method)
(abcpy.probabilisticmodels.RExponentialModel method)
(abcpy.statistics.LinearTransformation method)
(abcpy.statistics.NeuralEmbedding method)
(abcpy.statistics.Statistics method)
(abcpy.transformers.BoundedVarScaler method)
(abcpy.transformers.BoundedVarTransformer method)
(abcpy.transformers.DummyTransformer method)
__mul__() (abcpy.probabilisticmodels.ProbabilisticModel method)
__pow__() (abcpy.probabilisticmodels.ProbabilisticModel method)
__sub__() (abcpy.probabilisticmodels.ProbabilisticModel method)
__truediv__() (abcpy.probabilisticmodels.ProbabilisticModel method)
A
abcpy.acceptedparametersmanager (module)
abcpy.approx_lhd (module)
abcpy.backends.base (module)
abcpy.backends.spark (module)
abcpy.continuousmodels (module)
abcpy.discretemodels (module)
abcpy.distances (module)
abcpy.graphtools (module)
abcpy.modelselections (module)
abcpy.NN_utilities.algorithms (module)
abcpy.NN_utilities.datasets (module)
abcpy.NN_utilities.losses (module)
abcpy.NN_utilities.networks (module)
abcpy.NN_utilities.utilities (module)
abcpy.output (module)
abcpy.perturbationkernel (module)
abcpy.probabilisticmodels (module)
abcpy.statistics (module)
abcpy.transformers (module)
accepted_cov_mats (abcpy.output.Journal attribute)
accepted_parameters (abcpy.output.Journal attribute)
accepted_simulations (abcpy.output.Journal attribute)
AcceptedParametersManager (class in abcpy.acceptedparametersmanager)
add_accepted_cov_mats() (abcpy.output.Journal method)
add_accepted_parameters() (abcpy.output.Journal method)
add_accepted_simulations() (abcpy.output.Journal method)
add_distances() (abcpy.output.Journal method)
add_ESS_estimate() (abcpy.output.Journal method)
add_user_parameters() (abcpy.output.Journal method)
add_weights() (abcpy.output.Journal method)
all_models_fixed_values() (abcpy.probabilisticmodels.InputConnector method)
Approx_likelihood (class in abcpy.approx_lhd)
B
Backend (class in abcpy.backends.base)
BackendDummy (class in abcpy.backends.base)
BackendSpark (class in abcpy.backends.spark)
BDS (class in abcpy.backends.base)
BDSDummy (class in abcpy.backends.base)
BDSSpark (class in abcpy.backends.spark)
Bernoulli (class in abcpy.discretemodels)
Binomial (class in abcpy.discretemodels)
BoundedVarScaler (class in abcpy.transformers)
BoundedVarTransformer (class in abcpy.transformers)
broadcast() (abcpy.acceptedparametersmanager.AcceptedParametersManager method)
(abcpy.backends.base.Backend method)
(abcpy.backends.base.BackendDummy method)
(abcpy.backends.spark.BackendSpark method)
C
calculate_and_store_pdf_if_needed() (abcpy.probabilisticmodels.ProbabilisticModel method)
calculate_cov() (abcpy.perturbationkernel.JointPerturbationKernel method)
(abcpy.perturbationkernel.MultivariateNormalKernel method)
(abcpy.perturbationkernel.MultivariateStudentTKernel method)
(abcpy.perturbationkernel.NetworkRandomWalkKernel method)
(abcpy.perturbationkernel.PerturbationKernel method)
(abcpy.perturbationkernel.RandomWalkKernel method)
collect() (abcpy.backends.base.Backend method)
(abcpy.backends.base.BackendDummy method)
(abcpy.backends.spark.BackendSpark method)
compute_Gram_matrix() (abcpy.distances.MMD method)
compute_similarity_matrix() (in module abcpy.NN_utilities.utilities)
configuration (abcpy.output.Journal attribute)
Continuous (class in abcpy.probabilisticmodels)
ContinuousKernel (class in abcpy.perturbationkernel)
contrastive_training() (in module abcpy.NN_utilities.algorithms)
ContrastiveLoss (class in abcpy.NN_utilities.losses)
createDefaultNN() (in module abcpy.NN_utilities.networks)
createDefaultNNWithDerivatives() (in module abcpy.NN_utilities.networks)
D
def_Euclidean_distance() (abcpy.distances.EnergyDistance static method)
def_gaussian_kernel() (abcpy.distances.MMD static method)
DefaultKernel (class in abcpy.perturbationkernel)
DiscardLastOutputNet (class in abcpy.NN_utilities.networks)
Discrete (class in abcpy.probabilisticmodels)
DiscreteKernel (class in abcpy.perturbationkernel)
DiscreteUniform (class in abcpy.discretemodels)
dist2() (in module abcpy.NN_utilities.utilities)
dist_max() (abcpy.distances.Distance method)
(abcpy.distances.EnergyDistance method)
(abcpy.distances.Euclidean method)
(abcpy.distances.GammaDivergence method)
(abcpy.distances.KLDivergence method)
(abcpy.distances.LogReg method)
(abcpy.distances.MMD method)
(abcpy.distances.PenLogReg method)
(abcpy.distances.SlicedWasserstein method)
(abcpy.distances.SquaredHellingerDistance method)
(abcpy.distances.Wasserstein method)
Distance (class in abcpy.distances)
distance() (abcpy.distances.Distance method)
(abcpy.distances.Euclidean method)
(abcpy.distances.GammaDivergence method)
(abcpy.distances.KLDivergence method)
(abcpy.distances.LogReg method)
(abcpy.distances.MMD method)
(abcpy.distances.PenLogReg method)
(abcpy.distances.SlicedWasserstein method)
(abcpy.distances.SquaredHellingerDistance method)
(abcpy.distances.Wasserstein method)
distances (abcpy.output.Journal attribute)
Divergence (class in abcpy.distances)
DivisionModel (class in abcpy.probabilisticmodels)
DummyTransformer (class in abcpy.transformers)
E
EnergyDistance (class in abcpy.distances)
ESS (abcpy.output.Journal attribute)
Euclidean (class in abcpy.distances)
Exponential (class in abcpy.continuousmodels)
ExponentialModel (class in abcpy.probabilisticmodels)
F
Fisher_divergence_loss() (in module abcpy.NN_utilities.losses)
Fisher_divergence_loss_with_c_x() (in module abcpy.NN_utilities.losses)
fit() (abcpy.transformers.BoundedVarScaler method)
flush_stored_pdf() (abcpy.probabilisticmodels.ProbabilisticModel method)
forward() (abcpy.NN_utilities.losses.ContrastiveLoss method)
(abcpy.NN_utilities.losses.TripletLoss method)
(abcpy.NN_utilities.networks.DiscardLastOutputNet method)
(abcpy.NN_utilities.networks.ScalerAndNet method)
(abcpy.NN_utilities.networks.SiameseNet method)
(abcpy.NN_utilities.networks.TripletNet method)
forward_simulate() (abcpy.continuousmodels.Exponential method)
(abcpy.continuousmodels.LogNormal method)
(abcpy.continuousmodels.MultiStudentT method)
(abcpy.continuousmodels.MultivariateNormal method)
(abcpy.continuousmodels.Normal method)
(abcpy.continuousmodels.StudentT method)
(abcpy.continuousmodels.Uniform method)
(abcpy.discretemodels.Bernoulli method)
(abcpy.discretemodels.Binomial method)
(abcpy.discretemodels.DiscreteUniform method)
(abcpy.discretemodels.Poisson method)
(abcpy.probabilisticmodels.DivisionModel method)
(abcpy.probabilisticmodels.ExponentialModel method)
(abcpy.probabilisticmodels.Hyperparameter method)
(abcpy.probabilisticmodels.ModelResultingFromOperation method)
(abcpy.probabilisticmodels.MultiplicationModel method)
(abcpy.probabilisticmodels.ProbabilisticModel method)
(abcpy.probabilisticmodels.RExponentialModel method)
(abcpy.probabilisticmodels.SubtractionModel method)
(abcpy.probabilisticmodels.SummationModel method)
FP_nn_training() (in module abcpy.NN_utilities.algorithms)
from_list() (abcpy.probabilisticmodels.InputConnector method)
from_model() (abcpy.probabilisticmodels.InputConnector method)
from_number() (abcpy.probabilisticmodels.InputConnector method)
fromFile() (abcpy.output.Journal class method)
(abcpy.statistics.NeuralEmbedding class method)
G
GammaDivergence (class in abcpy.distances)
generate() (abcpy.output.GenerateFromJournal method)
GenerateFromJournal (class in abcpy.output)
get_accepted_cov_mats() (abcpy.output.Journal method)
get_accepted_parameters() (abcpy.output.Journal method)
get_accepted_parameters_bds_values() (abcpy.acceptedparametersmanager.AcceptedParametersManager method)
get_accepted_simulations() (abcpy.output.Journal method)
get_correct_ordering() (abcpy.graphtools.GraphTools method)
get_distances() (abcpy.output.Journal method)
get_embedding() (abcpy.NN_utilities.networks.SiameseNet method)
(abcpy.NN_utilities.networks.TripletNet method)
get_ESS_estimates() (abcpy.output.Journal method)
get_input_connector() (abcpy.probabilisticmodels.Hyperparameter method)
(abcpy.probabilisticmodels.ProbabilisticModel method)
get_input_dimension() (abcpy.probabilisticmodels.Hyperparameter method)
(abcpy.probabilisticmodels.ProbabilisticModel method)
get_input_models() (abcpy.probabilisticmodels.Hyperparameter method)
(abcpy.probabilisticmodels.ProbabilisticModel method)
get_input_values() (abcpy.probabilisticmodels.Hyperparameter method)
(abcpy.probabilisticmodels.ProbabilisticModel method)
get_mapping() (abcpy.acceptedparametersmanager.AcceptedParametersManager method)
get_model() (abcpy.probabilisticmodels.InputConnector method)
get_models() (abcpy.probabilisticmodels.InputConnector method)
get_output_dimension() (abcpy.continuousmodels.Exponential method)
(abcpy.continuousmodels.LogNormal method)
(abcpy.continuousmodels.MultiStudentT method)
(abcpy.continuousmodels.MultivariateNormal method)
(abcpy.continuousmodels.Normal method)
(abcpy.continuousmodels.StudentT method)
(abcpy.continuousmodels.Uniform method)
(abcpy.discretemodels.Bernoulli method)
(abcpy.discretemodels.Binomial method)
(abcpy.discretemodels.DiscreteUniform method)
(abcpy.discretemodels.Poisson method)
(abcpy.probabilisticmodels.Hyperparameter method)
(abcpy.probabilisticmodels.ModelResultingFromOperation method)
(abcpy.probabilisticmodels.ProbabilisticModel method)
get_parameter_count() (abcpy.probabilisticmodels.InputConnector method)
get_parameters() (abcpy.graphtools.GraphTools method)
(abcpy.output.Journal method)
get_random_projections() (abcpy.distances.SlicedWasserstein static method)
get_stored_output_values() (abcpy.probabilisticmodels.ProbabilisticModel method)
get_stored_pdf() (abcpy.probabilisticmodels.ProbabilisticModel method)
get_values() (abcpy.probabilisticmodels.InputConnector method)
get_weights() (abcpy.output.Journal method)
GraphTools (class in abcpy.graphtools)
H
Hyperparameter (class in abcpy.probabilisticmodels)
I
Identity (class in abcpy.statistics)
InputConnector (class in abcpy.probabilisticmodels)
inverse_transform() (abcpy.transformers.BoundedVarScaler method)
(abcpy.transformers.BoundedVarTransformer method)
(abcpy.transformers.DummyTransformer method)
J
jac_log_det() (abcpy.transformers.BoundedVarScaler method)
(abcpy.transformers.BoundedVarTransformer method)
(abcpy.transformers.DummyTransformer method)
jac_log_det_inverse_transform() (abcpy.transformers.BoundedVarScaler method)
(abcpy.transformers.BoundedVarTransformer method)
(abcpy.transformers.DummyTransformer method)
jacobian() (in module abcpy.NN_utilities.utilities)
jacobian_hessian() (in module abcpy.NN_utilities.utilities)
jacobian_second_order() (in module abcpy.NN_utilities.utilities)
JointPerturbationKernel (class in abcpy.perturbationkernel)
Journal (class in abcpy.output)
K
KLDivergence (class in abcpy.distances)
L
likelihood() (abcpy.approx_lhd.Approx_likelihood method)
LinearTransformation (class in abcpy.statistics)
load_net() (in module abcpy.NN_utilities.utilities)
logit() (abcpy.transformers.BoundedVarTransformer static method)
loglikelihood() (abcpy.approx_lhd.Approx_likelihood method)
(abcpy.approx_lhd.PenLogReg method)
(abcpy.approx_lhd.SemiParametricSynLikelihood method)
(abcpy.approx_lhd.SynLikelihood method)
LogNormal (class in abcpy.continuousmodels)
LogReg (class in abcpy.distances)
M
map() (abcpy.backends.base.Backend method)
(abcpy.backends.base.BackendDummy method)
(abcpy.backends.spark.BackendSpark method)
MMD (class in abcpy.distances)
MMD_unbiased() (abcpy.distances.MMD static method)
MMD_V_estimator() (abcpy.distances.MMD static method)
ModelResultingFromOperation (class in abcpy.probabilisticmodels)
ModelSelections (class in abcpy.modelselections)
MultiplicationModel (class in abcpy.probabilisticmodels)
MultiStudentT (class in abcpy.continuousmodels)
MultivariateNormal (class in abcpy.continuousmodels)
MultivariateNormalKernel (class in abcpy.perturbationkernel)
MultivariateStudentTKernel (class in abcpy.perturbationkernel)
N
names_and_parameters (abcpy.output.Journal attribute)
nested_execution() (abcpy.backends.base.NestedParallelizationController method)
NestedParallelizationController (class in abcpy.backends.base)
NetworkRandomWalkKernel (class in abcpy.perturbationkernel)
NeuralEmbedding (class in abcpy.statistics)
Normal (class in abcpy.continuousmodels)
P
parallelize() (abcpy.backends.base.Backend method)
(abcpy.backends.base.BackendDummy method)
(abcpy.backends.spark.BackendSpark method)
ParameterSimulationPairs (class in abcpy.NN_utilities.datasets)
pdf() (abcpy.continuousmodels.Exponential method)
(abcpy.continuousmodels.LogNormal method)
(abcpy.continuousmodels.MultiStudentT method)
(abcpy.continuousmodels.MultivariateNormal method)
(abcpy.continuousmodels.Normal method)
(abcpy.continuousmodels.StudentT method)
(abcpy.continuousmodels.Uniform method)
(abcpy.perturbationkernel.ContinuousKernel method)
(abcpy.perturbationkernel.JointPerturbationKernel method)
(abcpy.perturbationkernel.MultivariateNormalKernel method)
(abcpy.perturbationkernel.MultivariateStudentTKernel method)
(abcpy.perturbationkernel.PerturbationKernel method)
(abcpy.probabilisticmodels.Continuous method)
(abcpy.probabilisticmodels.Hyperparameter method)
(abcpy.probabilisticmodels.ModelResultingFromOperation method)
(abcpy.probabilisticmodels.ProbabilisticModel method)
pdf_of_prior() (abcpy.graphtools.GraphTools method)
PDS (class in abcpy.backends.base)
PDSDummy (class in abcpy.backends.base)
PDSSpark (class in abcpy.backends.spark)
PenLogReg (class in abcpy.approx_lhd)
(class in abcpy.distances)
PerturbationKernel (class in abcpy.perturbationkernel)
plot_ESS() (abcpy.output.Journal method)
plot_posterior_distr() (abcpy.output.Journal method)
pmf() (abcpy.discretemodels.Bernoulli method)
(abcpy.discretemodels.Binomial method)
(abcpy.discretemodels.DiscreteUniform method)
(abcpy.discretemodels.Poisson method)
(abcpy.perturbationkernel.DiscreteKernel method)
(abcpy.perturbationkernel.NetworkRandomWalkKernel method)
(abcpy.perturbationkernel.RandomWalkKernel method)
(abcpy.probabilisticmodels.Discrete method)
Poisson (class in abcpy.discretemodels)
posterior_cov() (abcpy.output.Journal method)
posterior_histogram() (abcpy.output.Journal method)
posterior_mean() (abcpy.output.Journal method)
posterior_probability() (abcpy.modelselections.ModelSelections method)
(abcpy.modelselections.RandomForest method)
ProbabilisticModel (class in abcpy.probabilisticmodels)
R
RandomForest (class in abcpy.modelselections)
RandomWalkKernel (class in abcpy.perturbationkernel)
resample() (abcpy.output.Journal method)
RExponentialModel (class in abcpy.probabilisticmodels)
run_nested() (abcpy.backends.base.NestedParallelizationController method)
S
sample_from_input_models() (abcpy.probabilisticmodels.ModelResultingFromOperation method)
sample_from_prior() (abcpy.graphtools.GraphTools method)
save() (abcpy.output.Journal method)
save_net() (abcpy.statistics.NeuralEmbedding method)
(in module abcpy.NN_utilities.utilities)
ScalerAndNet (class in abcpy.NN_utilities.networks)
select_model() (abcpy.modelselections.ModelSelections method)
(abcpy.modelselections.RandomForest method)
SemiParametricSynLikelihood (class in abcpy.approx_lhd)
set() (abcpy.probabilisticmodels.InputConnector method)
set_output_values() (abcpy.probabilisticmodels.Hyperparameter method)
(abcpy.probabilisticmodels.ProbabilisticModel method)
set_parameters() (abcpy.graphtools.GraphTools method)
set_requires_grad() (in module abcpy.NN_utilities.utilities)
SiameseNet (class in abcpy.NN_utilities.networks)
SiameseSimilarities (class in abcpy.NN_utilities.datasets)
Similarities (class in abcpy.NN_utilities.datasets)
simulate() (abcpy.graphtools.GraphTools method)
skl_estimator_gamma_q() (abcpy.distances.GammaDivergence static method)
skl_estimator_KL_div() (abcpy.distances.KLDivergence static method)
skl_estimator_squared_Hellinger_distance() (abcpy.distances.SquaredHellingerDistance static method)
sliced_wasserstein_distance() (abcpy.distances.SlicedWasserstein method)
SlicedWasserstein (class in abcpy.distances)
SquaredHellingerDistance (class in abcpy.distances)
Statistics (class in abcpy.statistics)
statistics() (abcpy.statistics.Identity method)
(abcpy.statistics.LinearTransformation method)
(abcpy.statistics.NeuralEmbedding method)
(abcpy.statistics.Statistics method)
StudentT (class in abcpy.continuousmodels)
SubtractionModel (class in abcpy.probabilisticmodels)
SummationModel (class in abcpy.probabilisticmodels)
SynLikelihood (class in abcpy.approx_lhd)
T
traceplot() (abcpy.output.Journal method)
transform() (abcpy.transformers.BoundedVarScaler method)
(abcpy.transformers.BoundedVarTransformer method)
(abcpy.transformers.DummyTransformer method)
triplet_training() (in module abcpy.NN_utilities.algorithms)
TripletLoss (class in abcpy.NN_utilities.losses)
TripletNet (class in abcpy.NN_utilities.networks)
TripletSimilarities (class in abcpy.NN_utilities.datasets)
U
Uniform (class in abcpy.continuousmodels)
update() (abcpy.perturbationkernel.JointPerturbationKernel method)
(abcpy.perturbationkernel.MultivariateNormalKernel method)
(abcpy.perturbationkernel.MultivariateStudentTKernel method)
(abcpy.perturbationkernel.NetworkRandomWalkKernel method)
(abcpy.perturbationkernel.PerturbationKernel method)
(abcpy.perturbationkernel.RandomWalkKernel method)
update_broadcast() (abcpy.acceptedparametersmanager.AcceptedParametersManager method)
update_kernel_values() (abcpy.acceptedparametersmanager.AcceptedParametersManager method)
V
value() (abcpy.backends.base.BDS method)
(abcpy.backends.base.BDSDummy method)
(abcpy.backends.spark.BDSSpark method)
W
Wass_convergence_plot() (abcpy.output.Journal method)
Wasserstein (class in abcpy.distances)
weights (abcpy.output.Journal attribute)
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