Adde metric classes to __init__ and make a ValueError more informative

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)