pmlearn/linear_model/logistic.py

Killed 27 out of 36 mutants

Survived

Survived mutation testing. These mutants show holes in your test suite.

Mutant 67

--- pmlearn/linear_model/logistic.py
+++ pmlearn/linear_model/logistic.py
@@ -128,7 +128,7 @@
         model = pm.Model()
 
         with model:
-            mu_alpha = pm.Normal('mu_alpha', mu=0, sd=100)
+            mu_alpha = pm.Normal('mu_alpha', mu=1, sd=100)
             sigma_alpha = pm.HalfNormal('sigma_alpha', sd=100)
 
             mu_beta = pm.Normal('mu_beta', mu=0, sd=100)

Mutant 68

--- pmlearn/linear_model/logistic.py
+++ pmlearn/linear_model/logistic.py
@@ -128,7 +128,7 @@
         model = pm.Model()
 
         with model:
-            mu_alpha = pm.Normal('mu_alpha', mu=0, sd=100)
+            mu_alpha = pm.Normal('mu_alpha', mu=0, sd=101)
             sigma_alpha = pm.HalfNormal('sigma_alpha', sd=100)
 
             mu_beta = pm.Normal('mu_beta', mu=0, sd=100)

Mutant 71

--- pmlearn/linear_model/logistic.py
+++ pmlearn/linear_model/logistic.py
@@ -129,7 +129,7 @@
 
         with model:
             mu_alpha = pm.Normal('mu_alpha', mu=0, sd=100)
-            sigma_alpha = pm.HalfNormal('sigma_alpha', sd=100)
+            sigma_alpha = pm.HalfNormal('sigma_alpha', sd=101)
 
             mu_beta = pm.Normal('mu_beta', mu=0, sd=100)
             sigma_beta = pm.HalfNormal('sigma_beta', sd=100)

Mutant 72

--- pmlearn/linear_model/logistic.py
+++ pmlearn/linear_model/logistic.py
@@ -129,7 +129,7 @@
 
         with model:
             mu_alpha = pm.Normal('mu_alpha', mu=0, sd=100)
-            sigma_alpha = pm.HalfNormal('sigma_alpha', sd=100)
+            sigma_alpha = None
 
             mu_beta = pm.Normal('mu_beta', mu=0, sd=100)
             sigma_beta = pm.HalfNormal('sigma_beta', sd=100)

Mutant 73

--- pmlearn/linear_model/logistic.py
+++ pmlearn/linear_model/logistic.py
@@ -131,7 +131,7 @@
             mu_alpha = pm.Normal('mu_alpha', mu=0, sd=100)
             sigma_alpha = pm.HalfNormal('sigma_alpha', sd=100)
 
-            mu_beta = pm.Normal('mu_beta', mu=0, sd=100)
+            mu_beta = pm.Normal('XXmu_betaXX', mu=0, sd=100)
             sigma_beta = pm.HalfNormal('sigma_beta', sd=100)
 
             alpha = pm.Normal('alpha', mu=mu_alpha, sd=sigma_alpha,

Mutant 74

--- pmlearn/linear_model/logistic.py
+++ pmlearn/linear_model/logistic.py
@@ -131,7 +131,7 @@
             mu_alpha = pm.Normal('mu_alpha', mu=0, sd=100)
             sigma_alpha = pm.HalfNormal('sigma_alpha', sd=100)
 
-            mu_beta = pm.Normal('mu_beta', mu=0, sd=100)
+            mu_beta = pm.Normal('mu_beta', mu=1, sd=100)
             sigma_beta = pm.HalfNormal('sigma_beta', sd=100)
 
             alpha = pm.Normal('alpha', mu=mu_alpha, sd=sigma_alpha,

Mutant 77

--- pmlearn/linear_model/logistic.py
+++ pmlearn/linear_model/logistic.py
@@ -132,7 +132,7 @@
             sigma_alpha = pm.HalfNormal('sigma_alpha', sd=100)
 
             mu_beta = pm.Normal('mu_beta', mu=0, sd=100)
-            sigma_beta = pm.HalfNormal('sigma_beta', sd=100)
+            sigma_beta = pm.HalfNormal('XXsigma_betaXX', sd=100)
 
             alpha = pm.Normal('alpha', mu=mu_alpha, sd=sigma_alpha,
                               shape=(self.num_cats,))

Mutant 78

--- pmlearn/linear_model/logistic.py
+++ pmlearn/linear_model/logistic.py
@@ -132,7 +132,7 @@
             sigma_alpha = pm.HalfNormal('sigma_alpha', sd=100)
 
             mu_beta = pm.Normal('mu_beta', mu=0, sd=100)
-            sigma_beta = pm.HalfNormal('sigma_beta', sd=100)
+            sigma_beta = pm.HalfNormal('sigma_beta', sd=101)
 
             alpha = pm.Normal('alpha', mu=mu_alpha, sd=sigma_alpha,
                               shape=(self.num_cats,))

Mutant 79

--- pmlearn/linear_model/logistic.py
+++ pmlearn/linear_model/logistic.py
@@ -132,7 +132,7 @@
             sigma_alpha = pm.HalfNormal('sigma_alpha', sd=100)
 
             mu_beta = pm.Normal('mu_beta', mu=0, sd=100)
-            sigma_beta = pm.HalfNormal('sigma_beta', sd=100)
+            sigma_beta = None
 
             alpha = pm.Normal('alpha', mu=mu_alpha, sd=sigma_alpha,
                               shape=(self.num_cats,))