Fix constraint upper bound and update to version 0.3.0

README.rst

@@ -214,17 +214,17 @@ The constraint has the general inequality form: ``lb <= A^Tx <= ub``.
    >>> clf = LogisticRegression(solver="ecos", penalty="elasticnet", l1_ratio=0.5)
    >>> clf.fit(X, y, bounds=bounds, constraints=constraints)
    >>> clf.coef_
-   array([[-4.99999990e-01,  2.59127065e-09,  1.57855012e-09,
-            4.92952226e-10, -9.38544504e-07, -6.23158850e-01,
-           -9.99999485e-01, -4.41393438e-02, -1.50746141e-01,
-           -2.46375497e-07, -5.86201514e-07, -3.10883675e-09,
-           -7.35173366e-07, -4.48737109e-02, -1.71421755e-07,
-           -1.67941981e-07, -1.93139045e-07, -1.77770207e-07,
-           -1.83325585e-07, -1.63464915e-07, -1.76861958e-08,
-           -2.46764081e-01, -1.08368550e-01,  2.89353186e-10,
-           -6.39569062e-01, -9.99999975e-01, -9.99999982e-01,
-           -9.99999849e-01, -9.99999935e-01, -3.52251357e-06]])
+   array([[ 8.38950646e-10,  9.59874680e-10,  1.09096379e-09,
+            3.71912590e-10, -4.85762520e-07, -2.64846257e-01,
+           -8.30023820e-01, -2.06338097e-06, -3.66858725e-06,
+           -1.79685666e-07, -2.68157291e-07, -3.73083163e-09,
+           -3.11904337e-08, -5.04565568e-02, -1.39102635e-07,
+           -1.24094215e-07, -1.43485412e-07, -1.43613114e-07,
+           -1.46108738e-07, -1.31353775e-07, -6.01051773e-08,
+           -2.33773767e-01, -1.54775716e-01, -5.94112471e-11,
+           -3.88166017e-01, -9.99999970e-01, -9.99999980e-01,
+           -9.99999695e-01, -9.99999911e-01, -5.33323276e-07]])
    >>> clf.intercept_
-   array([28.38190371])
+   array([25.95361153])
    >>> clf.score(X, y)
-   0.9543057996485061
+   0.9507908611599297

clogistic/_version.py

@@ -1,3 +1,3 @@
 """Version information."""
 
-__version__ = "0.2.0"
+__version__ = "0.3.0"

clogistic/clogistic.py

@@ -320,7 +320,7 @@ def _fit_cvxpy(solver, penalty, tol, C, fit_intercept, max_iter, l1_ratio,
             cons.append(lb[mask_lb] <= Abeta[mask_lb])
 
         if np.any(mask_ub):
-            cons.append(Abeta[mask_ub] >= ub[mask_ub])
+            cons.append(Abeta[mask_ub] <= ub[mask_ub])
 
     # Regularization
     w = beta