Index

B

binarize() (in module etudes.datasets.decorators) binary_crossentropy_from_logits() (in module etudes.losses)

binary_mnist_load_data() (in module etudes.datasets) build() (etudes.gaussian_process.GaussianProcessLayer method) (etudes.gaussian_process.VariationalGaussianProcessScalar method)

C

call() (etudes.gaussian_process.GaussianProcessLayer method) (etudes.gaussian_process.KernelWrapper method) coal_mining_disasters_load_data() (in module etudes.datasets) (in module etudes.datasets.base)

compute_output_shape() (etudes.gaussian_process.GaussianProcessLayer method) compute_subset() (etudes.initializers.KMeans method) (etudes.initializers.RandomSubset method)

D

dataframe_from_gp_samples() (in module etudes.gaussian_process) dataframe_from_gp_summary() (in module etudes.gaussian_process) density_ratio() (etudes.utils.DistributionPair method) DistributionPair (class in etudes.utils)

DistributionPairGaussian (class in etudes.utils) divergence_gauss_hermite() (etudes.utils.DistributionPairGaussian method) (in module etudes.math) divergence_monte_carlo() (etudes.utils.DistributionPair method)

E

etudes (module) etudes.cli (module) etudes.datasets (module) etudes.datasets.base (module) etudes.datasets.decorators (module) etudes.datasets.networks (module) etudes.datasets.synthetic (module) etudes.decorators (module)

etudes.gaussian_process (module) etudes.initializers (module) etudes.losses (module) etudes.math (module) etudes.metrics (module) etudes.plotting (module) etudes.utils (module) expectation_gauss_hermite() (in module etudes.math) extract_series() (in module etudes.utils)

F

fill_between_stddev() (in module etudes.plotting)

from_covariate_shift_example() (etudes.utils.DistributionPair class method)

G

GaussianProcessLayer (class in etudes.gaussian_process) get_distribution_pair() (in module etudes.utils) get_kl_weight() (in module etudes.utils)

get_sequence_path() (in module etudes.datasets.base) get_steps_per_epoch() (in module etudes.utils) gp_sample_custom() (in module etudes.gaussian_process)

I

identity_initializer() (in module etudes.gaussian_process)

inducing_index_points_history_to_dataframe() (in module etudes.utils)

K

kernel() (etudes.gaussian_process.KernelWrapper property) KernelWrapper (class in etudes.gaussian_process)

kl_divergence() (etudes.utils.DistributionPair method) kl_divergence_scaled_distribution() (etudes.utils.DistributionPairGaussian method) KMeans (class in etudes.initializers)

L

load_bee_dance_dataframe() (in module etudes.datasets) (in module etudes.datasets.base) load_cora() (in module etudes.datasets.networks) load_dataset() (in module etudes.datasets.networks)

load_hdf5() (in module etudes.utils) load_pickle() (in module etudes.datasets.networks) load_test_indices() (in module etudes.datasets.networks) logit() (etudes.utils.DistributionPair method)

M

make_classification_dataset() (etudes.utils.DistributionPair method) (in module etudes.datasets) (in module etudes.datasets.synthetic) make_covariate_shift_dataset() (etudes.utils.DistributionPair method) make_dataset() (etudes.utils.DistributionPair method) make_density_ratio_estimation_dataset() (in module etudes.datasets.synthetic)

make_p_log_prob_estimator() (etudes.utils.DistributionPair method) make_plot_data() (in module etudes.utils) make_regression_dataset() (in module etudes.datasets) (in module etudes.datasets.synthetic) mauna_loa_load_dataframe() (in module etudes.datasets) (in module etudes.datasets.base) merge_stack_runs() (in module etudes.utils)

N

negate() (in module etudes.decorators) new() (etudes.gaussian_process.VariationalGaussianProcessScalar static method)

nmse() (in module etudes.metrics) numpy_io() (in module etudes.decorators)

O

optimal_accuracy() (etudes.utils.DistributionPair method)

optimal_score() (etudes.utils.DistributionPair method)

P

perlin() (in module etudes.math)

plot_image_grid() (in module etudes.plotting) preprocess() (in module etudes.utils)

R

RandomSubset (class in etudes.initializers) read_fcnet_data() (in module etudes.datasets) (in module etudes.datasets.base)

read_sequence() (in module etudes.datasets.base) read_sequence_column() (in module etudes.datasets.base)

S

save_hdf5() (in module etudes.utils) save_results() (in module etudes.utils)

SubsetInitializer (class in etudes.initializers) synthetic_sinusoidal() (in module etudes.datasets.synthetic)

T

to_numpy() (in module etudes.utils)

U

unbatch() (in module etudes.decorators)

V

value_and_gradient() (in module etudes.decorators)

variational_scale_history_to_dataframe() (in module etudes.utils) VariationalGaussianProcessScalar (class in etudes.gaussian_process)