Index

_

__init__() (gclda.dataset.Dataset method) (gclda.model.Model method)

C

compute_log_likelihood() (gclda.model.Model method), [1]

D

Dataset (class in gclda.dataset), [1] decode_continuous() (in module gclda.decode), [1]

decode_roi() (in module gclda.decode), [1] display_dataset_summary() (gclda.dataset.Dataset method), [1] display_model_summary() (gclda.model.Model method), [1]

E

encode() (in module gclda.decode), [1]

G

gclda.dataset (module), [1] gclda.decode (module), [1] gclda.model (module), [1]

gclda.utils (module), [1] get_resource_path() (in module gclda.utils), [1] get_spatial_probs() (gclda.model.Model method), [1]

I

import_neurosynth() (in module gclda.dataset), [1]

L

load() (gclda.dataset.Dataset class method), [1] (gclda.model.Model class method), [1]

M

Model (class in gclda.model), [1]

N

next() (gclda.dataset.Dataset method) (gclda.model.Model method)

P

plot_brain() (in module gclda.utils), [1]

R

run_complete_iteration() (gclda.model.Model method), [1]

S

save() (gclda.dataset.Dataset method), [1] (gclda.model.Model method), [1]

save_model_params() (gclda.model.Model method), [1] save_topic_figures() (gclda.model.Model method), [1]

V

view_doc_labels() (gclda.dataset.Dataset method), [1] view_peak_indices() (gclda.dataset.Dataset method), [1]

view_word_indices() (gclda.dataset.Dataset method), [1] view_word_labels() (gclda.dataset.Dataset method), [1]

W

weight_priors() (in module gclda.utils), [1]