Repository: climate Updated Branches: refs/heads/master 2cb39791e -> 56a3163ef
CLIMATE-585 Fixed the bias calculation ordering - Update bias calculation orderings in Bias, TemporalMeanBias, and SpatialMeanOfTemporalMeanBias Metrics. Project: http://git-wip-us.apache.org/repos/asf/climate/repo Commit: http://git-wip-us.apache.org/repos/asf/climate/commit/3935c247 Tree: http://git-wip-us.apache.org/repos/asf/climate/tree/3935c247 Diff: http://git-wip-us.apache.org/repos/asf/climate/diff/3935c247 Branch: refs/heads/master Commit: 3935c247acd481b267d85f0791f37f5758441bf2 Parents: 2cb3979 Author: Kim Whitehall <[email protected]> Authored: Mon Feb 23 08:06:54 2015 -0500 Committer: Michael Joyce <[email protected]> Committed: Thu Mar 12 09:24:10 2015 -0700 ---------------------------------------------------------------------- ocw/metrics.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/climate/blob/3935c247/ocw/metrics.py ---------------------------------------------------------------------- diff --git a/ocw/metrics.py b/ocw/metrics.py index 855d4e3..47c20de 100644 --- a/ocw/metrics.py +++ b/ocw/metrics.py @@ -86,7 +86,7 @@ class Bias(BinaryMetric): :returns: The difference between the reference and target datasets. :rtype: :class:`numpy.ndarray` ''' - return ref_dataset.values - target_dataset.values + return target_dataset.values - ref_dataset.values class TemporalStdDev(UnaryMetric): @@ -210,7 +210,7 @@ class TemporalMeanBias(BinaryMetric): :returns: The mean bias between a reference and target dataset over time. ''' - diff = ref_dataset.values - target_dataset.values + diff = target_dataset.values - ref_dataset.values if absolute: diff = abs(diff) mean_bias = diff.mean(axis=0) @@ -238,7 +238,7 @@ class SpatialMeanOfTemporalMeanBias(BinaryMetric): :returns: The bias averaged over time and domain ''' - bias = reference_dataset.values - target_dataset.values + bias = target_dataset.values - reference_dataset.values return bias.mean()
