Multivariate Pattern Analysis in Python

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# mvpa2.datasets.miscfx.summary

`mvpa2.datasets.miscfx.``summary`(dataset, stats=True, lstats='auto', sstats='auto', idhash=False, targets_attr='targets', chunks_attr='chunks', maxc=30, maxt=20)

  String summary over the object

  Parameters:

  stats : bool

  > Include some basic statistics (mean, std, var) over dataset samples

  lstats : ‘auto’ or bool

  > Include statistics on chunks/targets. If ‘auto’, includes only if both targets_attr and chunks_attr are present.

  sstats : ‘auto’ or bool

  > Sequence (order) statistics. If ‘auto’, includes only if targets_attr is present.

  idhash : bool

  > Include idhash value for dataset and samples

  targets_attr : str, optional

  > Name of sample attributes of targets

  chunks_attr : str, optional

  > Name of sample attributes of chunks – independent groups of samples

  maxt : int

  > Maximal number of targets when provide details on targets/chunks

  maxc : int

  > Maximal number of chunks when provide details on targets/chunks

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