Forgot to update some examples from before...

examples/auto_push/fit.py

@@ -19,6 +19,7 @@ def main():
 
         if not data_name in [
                              'diffusion',
+                             'make_regression',
                              'friedman1',
                              'steel_yield_strength',
                              'fluence',
@@ -64,7 +65,7 @@ def main():
                                 )
 
         # Types of sampling to test
-        splits = [('calibration', RepeatedKFold(n_repeats=n_repeats))]
+        splits = [('fit', RepeatedKFold(n_repeats=n_repeats))]
 
         # Boostrap, cluster data, and generate splits
         for i in [2, 3]:

setup.py

@@ -2,7 +2,7 @@
 
 # Package information
 name = 'madml'
-version = '0.6.6'  # Need to increment every time to push to PyPI
+version = '0.6.7'  # Need to increment every time to push to PyPI
 description = 'Application domain of machine learning in materials science.'
 url = 'https://github.com/leschultz/'\
       'materials_application_domain_machine_learning.git'

src/madml/plots.py

@@ -475,7 +475,7 @@ def cdf(x, save=None, binsave=None, subsave='', choice='standard_normal'):
     return y, y_pred, areaparity, areacdf
 
 
-def binned_truth(data_cv, metric, bins, gt=0.05, save=False):
+def binned_truth(data_cv, metric, bins, gt, save=False):
     '''
     Do analysis on binned data.