Index

D

Dataset (class in pyeeglab.dataset.dataset)

download() (pyeeglab.dataset.dataset.Dataset method)

E

environment (pyeeglab.dataset.dataset.Dataset attribute)

I

index() (pyeeglab.dataset.dataset.Dataset method)

L

load() (pyeeglab.dataset.dataset.Dataset method)

lowest_frequency (pyeeglab.dataset.dataset.Dataset attribute)

M

maximal_channels_subset (pyeeglab.dataset.dataset.Dataset attribute)

P

pipeline (pyeeglab.dataset.dataset.Dataset attribute) pyeeglab (module) pyeeglab.cache (module) pyeeglab.cache.cache (module) pyeeglab.database (module) pyeeglab.database.index (module) pyeeglab.dataset (module) pyeeglab.dataset.dataset (module) pyeeglab.io (module) pyeeglab.io.loader (module) pyeeglab.io.raw (module) pyeeglab.preprocessing (module)

pyeeglab.preprocessing.brain_connectivity (module) pyeeglab.preprocessing.channel_selector (module) pyeeglab.preprocessing.data_converter (module) pyeeglab.preprocessing.filter_selector (module) pyeeglab.preprocessing.frame_generator (module) pyeeglab.preprocessing.frequency_selector (module) pyeeglab.preprocessing.graph_generator (module) pyeeglab.preprocessing.normalization (module) pyeeglab.preprocessing.pipeline (module) pyeeglab.preprocessing.stat_features (module) pyeeglab.text (module) pyeeglab.text.text_mining (module)

S

set_minimum_event_duration() (pyeeglab.dataset.dataset.Dataset method)

set_pipeline() (pyeeglab.dataset.dataset.Dataset method) signal_min_max_range (pyeeglab.dataset.dataset.Dataset attribute)