def compute_score(self, observation, prediction):
# Sum of the difference between the curves.
o = observation
p = prediction
interped = self.interp_IV_curves(o['v'], o['i'], p['v'], p['i'])
if self.scale:
def f(sf):
score = FloatScore.compute_ssd(interped['i_obs'],
(10**sf)*interped['i_pred'])
return score.score.magnitude
result = minimize(f,0.0)
scale_factor = 10**result.x
interped['i_pred'] *= scale_factor
else:
scale_factor = 1
score = FloatScore.compute_ssd(interped['i_obs'],interped['i_pred'])
score.related_data['scale_factor'] = scale_factor
self.interped = interped
return score
def compute_score(self, observation, prediction):
# Sum of the difference between the curves.
o = observation
p = prediction
interped = self.interp_IV_curves(o['v'], o['i'], p['v'], p['i'])
if self.scale:
def f(sf):
score = FloatScore.compute_ssd(interped['i_obs'],
(10**sf)*interped['i_pred'])
return score.score.magnitude
result = minimize(f, 0.0)
scale_factor = 10**result.x
interped['i_pred'] *= scale_factor
else:
scale_factor = 1
score = FloatScore.compute_ssd(interped['i_obs'], interped['i_pred'])
score.related_data['scale_factor'] = scale_factor
self.interped = interped
return score
def test_regular_score_types_2(self):
BooleanScore(True)
BooleanScore(False)
score = BooleanScore.compute(5, 5)
self.assertEqual(score.norm_score, 1)
score = BooleanScore.compute(4, 5)
self.assertEqual(score.norm_score, 0)
self.assertEqual(1, BooleanScore(True).norm_score)
self.assertEqual(0, BooleanScore(False).norm_score)
t = RangeTest([2, 3])
score.test = t
score.describe()
score.description = "Lorem Ipsum"
score.describe()
score = FloatScore(3.14)
self.assertRaises(InvalidScoreError, score.check_score,
Quantity([1, 2, 3], "J"))
obs = np.array([1.0, 2.0, 3.0])
pred = np.array([1.0, 2.0, 4.0])
score = FloatScore.compute_ssd(obs, pred)
self.assertEqual(str(score), "1")
self.assertEqual(score.score, 1.0)
score = RatioScore(1.2)
self.assertEqual(1, RatioScore(1.0).norm_score)
self.assertEqual(0, RatioScore(1e12).norm_score)
self.assertEqual(0, RatioScore(1e-12).norm_score)
self.assertEqual(str(score), "Ratio = 1.20")
self.assertRaises(InvalidScoreError, RatioScore, -1.0)
score = RatioScore.compute({"mean": 4.0, "std": 1.0}, {"value": 2.0})
self.assertEqual(score.score, 0.5)
def test_regular_score_types_2(self):
BooleanScore(True)
BooleanScore(False)
score = BooleanScore.compute(5, 5)
self.assertEqual(score.norm_score, 1)
score = BooleanScore.compute(4, 5)
self.assertEqual(score.norm_score, 0)
t = RangeTest([2, 3])
score.test = t
score.describe()
score.description = "Lorem Ipsum"
score.describe()
score = FloatScore(3.14)
obs = np.array([1.0, 2.0, 3.0])
pred = np.array([1.0, 2.0, 4.0])
score = FloatScore.compute_ssd(obs, pred)
self.assertEqual(score.score, 1.0)
RatioScore(1.2)
score = RatioScore.compute({'mean': 4., 'std': 1.}, {'value': 2.})
self.assertEqual(score.score, 0.5)
def test_regular_score_types_2(self):
BooleanScore(True)
BooleanScore(False)
score = BooleanScore.compute(5,5)
self.assertEqual(score.sort_key,1)
score = BooleanScore.compute(4,5)
self.assertEqual(score.sort_key,0)
t = RangeTest([2,3])
score.test = t
score.describe()
score.description = "Lorem Ipsum"
score.describe()
score = FloatScore(3.14)
obs = np.array([1.0,2.0,3.0])
pred = np.array([1.0,2.0,4.0])
score = FloatScore.compute_ssd(obs,pred)
self.assertEqual(score.score,1.0)
RatioScore(1.2)
score = RatioScore.compute({'mean':4.,'std':1.},{'value':2.})
self.assertEqual(score.score,0.5)
def f(sf):
score = FloatScore.compute_ssd(interped['i_obs'],
(10**sf)*interped['i_pred'])
return score.score.magnitude
def f(sf):
score = FloatScore.compute_ssd(interped['i_obs'],
(10**sf)*interped['i_pred'])
return score.score.magnitude
