pyActigraphy.analysis.FLM.fit_reader

FLM.fit_reader(reader, binarize=False, verbose_fit=False, n_jobs=1, prefer=None, verbose_parallel=0)[source]

Fit the actigraphy data contained in a reader using a basis function expansion.

Parameters

  • reader (instance of RawReader) – Raw measurements to be fitted.

  • binarize (bool.) – If True, the data are binarized (i.e 0 or 1). Default is False.

  • verbose_fit (bool.) – If True, print the fit summary. Default is False.

  • n_jobs (int) – Number of CPU to use for parallel fitting

  • prefer (str) – Soft hint to choose the default backendself. Supported option:’processes’, ‘threads’. See joblib package documentation for more info. Default is None.

  • verbose_parallel (int) – Display a progress meter if set to a value > 0. Default is 0.