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Allow regression metrics to work with significance=None #7

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Allow regression metrics to work with significance=None #7

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21 changes: 11 additions & 10 deletions nonconformist/evaluation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -305,7 +305,7 @@ def reg_n_correct(prediction, y, significance=None):
return y[correct].size


def reg_mean_errors(prediction, y, significance):
def reg_mean_errors(prediction, y, significance=None):
"""Calculates the average error rate of a conformal regression model.
"""
return 1 - reg_n_correct(prediction, y, significance) / y.size
Expand Down Expand Up @@ -378,34 +378,35 @@ class ``c``. Use ``functools.partial`` in order to test other classes.
# -----------------------------------------------------------------------------
# Efficiency measures
# -----------------------------------------------------------------------------
def _reg_interval_size(prediction, y, significance):
idx = int(significance * 100 - 1)
prediction = prediction[:, :, idx]
def _reg_interval_size(prediction, y, significance=None):
if significance is not None:
idx = int(significance * 100 - 1)
prediction = prediction[:, :, idx]

return prediction[:, 1] - prediction[:, 0]


def reg_min_size(prediction, y, significance):
def reg_min_size(prediction, y, significance=None):
return np.min(_reg_interval_size(prediction, y, significance))


def reg_q1_size(prediction, y, significance):
def reg_q1_size(prediction, y, significance=None):
return np.percentile(_reg_interval_size(prediction, y, significance), 25)


def reg_median_size(prediction, y, significance):
def reg_median_size(prediction, y, significance=None):
return np.median(_reg_interval_size(prediction, y, significance))


def reg_q3_size(prediction, y, significance):
def reg_q3_size(prediction, y, significance=None):
return np.percentile(_reg_interval_size(prediction, y, significance), 75)


def reg_max_size(prediction, y, significance):
def reg_max_size(prediction, y, significance=None):
return np.max(_reg_interval_size(prediction, y, significance))


def reg_mean_size(prediction, y, significance):
def reg_mean_size(prediction, y, significance=None):
"""Calculates the average prediction interval size of a conformal
regression model.
"""
Expand Down