mvpa.mappers.prototype.PrototypeMapper¶
- class mvpa.mappers.prototype.PrototypeMapper(similarities, prototypes=None, **kwargs)¶
Mapper to project data onto a space defined by prototypes from the same space via a similarity function.
Notes
Available conditional attributes:
- calling_time+: Time (in seconds) it took to call the node
- training_time+: Time (in seconds) it took to train the learner
(Conditional attributes enabled by default suffixed with +)
Parameters : similarities : list
A list of similarity functions.
prototypes : Dataset or list
A dataset or a list of instances (e.g., streamlines)?
enable_ca : None or list of str
Names of the conditional attributes which should be enabled in addition to the default ones
disable_ca : None or list of str
Names of the conditional attributes which should be disabled
selector : None or list
Which components (i.e. columns of the projection matrix) should be used for mapping. If selector is None all components are used. If a list is provided, all list elements are treated as component ids and the respective components are selected (all others are discarded).
demean : bool
Either data should be demeaned while computing projections and applied back while doing reverse()
