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measures.ds

Module: measures.ds

Inheritance diagram for mvpa.measures.ds:

Dissimilarity measure.

DSMDatasetMeasure

class mvpa.measures.ds.DSMDatasetMeasure(dsmatrix, dset_metric, output_metric='spearman')

Bases: mvpa.measures.base.DatasetMeasure

DSMDatasetMeasure creates a DatasetMeasure object where metric can be one of ‘euclidean’, ‘spearman’, ‘pearson’ or ‘confusion’

Note

Available state variables:

• null_prob+: State variable
• null_t: State variable
• raw_results: Computed results before applying any transformation algorithm

(States enabled by default are listed with +)

See also

Please refer to the documentation of the base class for more information:

DatasetMeasure

Initialize instance of DSMDatasetMeasure

Parameters:

• enable_states (None or list of basestring) – Names of the state variables which should be enabled additionally to default ones
• disable_states (None or list of basestring) – Names of the state variables which should be disabled