Bugfix for Lagrangian Constraint for MEM

justanothergithubber · Feb 15, 2019 · c1806da · c1806da
1 parent 8208633
commit c1806da
Show file tree

Hide file tree

Showing 2 changed files with 3 additions and 3 deletions.
diff --git a/setup.py b/setup.py
@@ -9,7 +9,7 @@
 
 setuptools.setup(
     name="mdmpy",
-    version="0.0.15.15",
+    version="0.0.15.16",
     author="mdmpy Authors",
     author_email="mdmpyatgithub@gmail.com",
     description="A package that implements Marginal Distribution Models (MDMs)",

diff --git a/src/mdmpy/mdm.py b/src/mdmpy/mdm.py
@@ -216,8 +216,8 @@ def _lag_cons(model, i):
             # MEM
             if heteroscedastic and use_ASCs and self._cdf == util.exp_cdf:
                 lhs_sum_expr = sum(aml.exp(model.alpha[k]*(sum(
-                    model.ASC[k]+
-                        model.beta[l]*self._X[i][k][l] for l in model.L)-model.lambda_[i])) for k in model.K)
+                    model.beta[l]*self._X[i][k][l] for l in model.L)+
+                        model.ASC[k]-model.lambda_[i])) for k in model.K)
 
             ### TODO Figure out best way to write out the different cases
             elif heteroscedastic and self._cdf == util.exp_cdf: