Issues/224/add classes to init (#225)

* Adde metric classes to __init__ and make a ValueError more informative * Adde metric classes to __init__ and make a ValueError more informative
LSSTDESC · May 16, 2024 · f0bf3ce · f0bf3ce
1 parent 29c1491
commit f0bf3ce
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diff --git a/src/qp/metrics/__init__.py b/src/qp/metrics/__init__.py
@@ -2,6 +2,8 @@
 from .metrics import *
 from .goodness_of_fit import *
 from .base_metric_classes import *
+from .concrete_metric_classes import *
+from .point_estimate_metric_classes import *
 
 # added for testing purposes
 

diff --git a/src/qp/metrics/metrics.py b/src/qp/metrics/metrics.py
@@ -229,7 +229,7 @@ def _prepare_for_brier(p, truth, limits, dx=0.01):
     # Values of truth that are outside the defined limits will not appear truth_array.
     # Consider expanding the limits or using numpy.clip to restrict truth values to the limits.
     if np.any(np.less(truth, limits[0])) or np.any(np.greater(truth, limits[1])):
-        raise ValueError("Input truth values exceed the defined limits")
+        raise ValueError(f"Input truth values exceed the defined limits ({min(truth)}, {max(truth)}) ({limits[0]} {limits[1]})")
 
     # Make a grid object that defines grid values and histogram bin edges using limits and dx
     grid = _calculate_grid_parameters(limits, dx)