Started by an SCM change65bca7031515a65f515103793fa7edfffd976d3165bca7031515a65f515103793fa7edfffd976d3165refs/remotes/origin/masterbca7031515a65f515103793fa7edfffd976d3165bca7031515a65f515103793fa7edfffd976d3165refs/remotes/origin/masterbca7031515a65f515103793fa7edfffd976d3165bca7031515a65f515103793fa7edfffd976d3165refs/remotes/origin/masterhttps://github.com/larson-group/clubb.gitfalse#659684022690664clubb_release_intel_build #6565false653839SUCCESS1618649466776http://carson.math.uwm.edu/jenkins/view/all/job/clubb_release_intel_build/65/utilities/sens_matrix/test_analyzeSensMatrix.pyutilities/sens_matrix/analyze_sensitivity_matrix.pyutilities/sens_matrix/sens_matrix_dashboard.pybca7031515a65f515103793fa7edfffd976d31651618608863000http://carson.math.uwm.edu/jenkins/user/vlarsonVince Larsonvlarson@uwm.eduAdd principal components line to dashboard plots. This line shows the biases and parameter values that are found when only half the singular values are retained. The idea is to avoid choosing extreme parameter values in order to fit every wiggle in the metrics. For #910. 2021-04-16 16:34:23 -0500bca7031515a65f515103793fa7edfffd976d3165Add principal components line to dashboard plots.editutilities/sens_matrix/analyze_sensitivity_matrix.pyeditutilities/sens_matrix/test_analyzeSensMatrix.pyeditutilities/sens_matrix/sens_matrix_dashboard.pygithttp://carson.math.uwm.edu/jenkins/user/vlarsonVince Larsonfalse66http://carson.math.uwm.edu/jenkins/view/all/job/clubb_release_intel_build/66/64http://carson.math.uwm.edu/jenkins/view/all/job/clubb_release_intel_build/64/