3592ffe3e5fe916afda27c49e477299ebc08f908,pyannote/audio/applications/change_detection.py,SpeakerChangeDetection,validate_epoch,#SpeakerChangeDetection#Any#Any#Any#Any#,185

Before Change

            // NOTE -- embarrasingly parallel
            // TODO -- parallelize this
            for current_file in getattr(protocol, subset)():
                reference = current_file["annotation"]
                uri = get_unique_identifier(current_file)
                hypothesis = peak.apply(predictions[uri], dimension=1)
                hypothesis = hypothesis.to_annotation()
                uem = get_annotated(current_file)
                metric(reference, hypothesis, uem=uem)

            purity, coverage, _ = metric.compute_metrics()

            if purity < target_purity:
                upper_alpha = current_alpha

After Change

            peak = Peak(alpha=current_alpha, min_duration=0.0,
                        log_scale=model.logsoftmax)
            metric = DiarizationPurityCoverageFMeasure(parallel=True)
            validate = partial(validate_helper_func,
                               predictions=predictions,
                               peak=peak,
                               metric=metric)
            _ = self.pool_.map(validate, validation_data)

            purity, coverage, _ = metric.compute_metrics()

            // TODO: normalize coverage with what one could achieve if

Instances