def classification_curve(self, x_metric, y_metric):
x_metric = metrics.as_ramp_metric(x_metric)
y_metric = metrics.as_ramp_metric(y_metric)
dtmr = reporters.DualThresholdMetricReporter(x_metric,
y_metric)
dtmr.process_results(self.results)
return dtmr
def classification_curve(self, x_metric, y_metric):
x_metric = metrics.as_ramp_metric(x_metric)
y_metric = metrics.as_ramp_metric(y_metric)
dtmr = reporters.DualThresholdMetricReporter(x_metric, y_metric)
dtmr.process_results(self.results)
return dtmr
def __init__(self, metric, **kwargs):
"""
Accepts a Metric object and evaluates it at each fold.
"""
Reporter.__init__(self, **kwargs)
self.metric = metrics.as_ramp_metric(metric)
