teneto.timeseries¶

teneto.timeseries Package¶

Import functions from time series module

`derive_temporalnetwork`(data, params)	Derives connectivity from the data.
`postpro_pipeline`(data, pipeline[, report])	Function to call multiple postprocessing steps.
`postpro_fisher`(data[, report])	Performs fisher transform on everything in data.
`postpro_standardize`(data[, report])	Standardizes everything in data (along axis -1).
`postpro_boxcox`(data[, report])	Performs box cox transform on everything in data.
`remove_confounds`(timeseries, confounds[, ...])	Removes specified confounds using nilearn.signal.clean
`gen_report`(report[, sdir, report_name])	Generates report of derivation and postprocess steps in teneto.timeseries