Index

A

AMAGauss (class in amatorch.models) (class in amatorch.models.ama_gauss) AMAParent (class in amatorch.models.ama_parent) amatorch module amatorch.constraints module amatorch.data_wrangle module amatorch.datasets module amatorch.datasets.load module amatorch.inference module amatorch.models module amatorch.models.ama_gauss module amatorch.models.ama_parent module

amatorch.normalization module amatorch.optim module amatorch.plot module amatorch.plot.colors module amatorch.plot.filters module amatorch.plot.inference module amatorch.plot.output_summary module amatorch.plot.responses module amatorch.plot.statistics module amatorch.version module

C

class_statistics() (in module amatorch.inference)

D

disparity_data() (in module amatorch.datasets) disparity_filters() (in module amatorch.datasets)

draw_color_bar() (in module amatorch.plot) (in module amatorch.plot.colors)

F

fit() (in module amatorch.optim)

forward() (amatorch.constraints.Sphere method) (amatorch.models.ama_parent.AMAParent method)

G

gaussian_log_likelihoods() (in module amatorch.inference) get_class_rgba() (in module amatorch.plot.colors) get_estimates() (amatorch.models.ama_parent.AMAParent method) get_log_likelihoods() (amatorch.models.ama_parent.AMAParent method)

get_normalized_color_map() (in module amatorch.plot.colors) get_posteriors() (amatorch.models.ama_parent.AMAParent method) get_responses() (amatorch.models.ama_gauss.AMAGauss method) (amatorch.models.ama_parent.AMAParent method) (amatorch.models.AMAGauss method)

L

load_data() (in module amatorch.datasets.load)

load_filters() (in module amatorch.datasets.load) log_likelihoods_2_posteriors() (amatorch.models.ama_parent.AMAParent method)

M

module amatorch amatorch.constraints amatorch.data_wrangle amatorch.datasets amatorch.datasets.load amatorch.inference amatorch.models amatorch.models.ama_gauss amatorch.models.ama_parent amatorch.normalization amatorch.optim amatorch.plot amatorch.plot.colors amatorch.plot.filters amatorch.plot.inference amatorch.plot.output_summary amatorch.plot.responses amatorch.plot.statistics amatorch.version

O

output_statistics() (in module amatorch.plot.output_summary)

P

plot_estimates_statistics() (in module amatorch.plot) (in module amatorch.plot.inference) plot_filters() (in module amatorch.plot) (in module amatorch.plot.filters)

posteriors_2_estimates() (amatorch.models.ama_parent.AMAParent method) preprocess() (amatorch.models.ama_gauss.AMAGauss method) (amatorch.models.ama_parent.AMAParent method) (amatorch.models.AMAGauss method)

R

response_statistics (amatorch.models.ama_gauss.AMAGauss property) (amatorch.models.AMAGauss property) responses_2_log_likelihoods() (amatorch.models.ama_gauss.AMAGauss method) (amatorch.models.ama_parent.AMAParent method) (amatorch.models.AMAGauss method)

right_inverse() (amatorch.constraints.Sphere method)

S

scatter_estimates() (in module amatorch.plot) (in module amatorch.plot.inference) scatter_responses() (in module amatorch.plot) (in module amatorch.plot.responses) single_ellipse() (in module amatorch.plot.statistics)

Sphere (class in amatorch.constraints) statistics_dim_subset() (in module amatorch.data_wrangle) statistics_ellipses() (in module amatorch.plot) (in module amatorch.plot.statistics) subsample_class_points() (in module amatorch.data_wrangle) subsample_classes() (in module amatorch.data_wrangle)

U

unit_norm() (in module amatorch.normalization)

unit_norm_channels() (in module amatorch.normalization)