mvpa.measures.ds.DSMDatasetMeasure

Class DSMDatasetMeasure

Nested Classes

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods

__init__(self, dsmatrix, dset_metric, output_metric='spearman')
Does nothing special.

source code

__call__(self, dataset)
Compute measure on a given Dataset.

source code

Inherited from base.DatasetMeasure: __repr__, null_dist, transformer, untrain

Inherited from base.DatasetMeasure (private): _call, _postcall

Inherited from misc.state.ClassWithCollections: __getattribute__, __new__, __setattr__, __str__, reset

Inherited from object: __delattr__, __format__, __hash__, __reduce__, __reduce_ex__, __sizeof__, __subclasshook__

Class Variables

Inherited from base.DatasetMeasure: __doc__, null_prob, null_t, raw_results

Inherited from misc.state.ClassWithCollections: _DEV__doc__, descr

Properties

Inherited from object: __class__

Does nothing special.

Parameters:

transformer, Functor - This functor is called in __call__() to perform a final processing step on the to be returned dataset measure. If None, nothing is called
null_dist, instance, of, distribution, estimator - The estimated distribution is used to assign a probability for a certain value of the computed measure.

Overrides: object.__init__

(inherited documentation)

Compute measure on a given Dataset.

Each implementation has to handle a single arguments: the source dataset.

Returns the computed measure in some iterable (list-like) container applying transformer if such is defined

Class DSMDatasetMeasure