Index

A

analyze_mi_heatmap() (in module neural_mi.visualize)

D

dataframe (neural_mi.results.Results attribute)

DataShapeError details (neural_mi.results.Results attribute)

G

generate_correlated_gaussians() (in module neural_mi.datasets) generate_event_related_data() (in module neural_mi.datasets) generate_full_data() (in module neural_mi.datasets) generate_history_data() (in module neural_mi.datasets)

generate_linear_data() (in module neural_mi.datasets), [1] generate_nonlinear_data() (in module neural_mi.datasets), [1] generate_nonlinear_from_latent() (in module neural_mi.datasets) generate_temporally_convolved_data() (in module neural_mi.datasets) generate_xor_data() (in module neural_mi.datasets)

I

InsufficientDataError

M

mi_estimate (neural_mi.results.Results attribute) mode (neural_mi.results.Results attribute) module neural_mi.datasets neural_mi.exceptions neural_mi.visualize

N

neural_mi.datasets module neural_mi.exceptions module

neural_mi.visualize module NeuralMIError

P

params (neural_mi.results.Results attribute) plot() (neural_mi.results.Results method)

plot_bias_correction_fit() (in module neural_mi.visualize) plot_cross_correlation() (in module neural_mi.visualize) plot_sweep_curve() (in module neural_mi.visualize)

R

Results (class in neural_mi.results)

run() (in module neural_mi)

S

set_verbosity() (in module neural_mi.logger)

T

TrainingError