(self, dataset, pipelines)
Evaluate results on a single dataset.

        This method return a generator. each results item is a dict with
        the following convension::

            res = {'time': Duration of the training ,
                   'dataset': dataset id,
                   'subject': subject id,
                   'session': session id,
                   'score': score,
                   'n_samples': number of training examples,
                   'n_channels': number of channel,
                   'pipeline': pipeline name}
Evaluate results on a single dataset.
Evaluate results on a single dataset .
def evaluate(self, dataset, pipelines):
        """Evaluate results on a single dataset.

        This method return a generator. each results item is a dict with
        the following convension::

            res = {'time': Duration of the training ,
                   'dataset': dataset id,
                   'subject': subject id,
                   'session': session id,
                   'score': score,
                   'n_samples': number of training examples,
                   'n_channels': number of channel,
                   'pipeline': pipeline name}
        """
        pass
def evaluate ( self , dataset , pipelines ) : pass