started adding weights into edge probabilities

7 files changed, 768 insertions, 278 deletions

diff --git a/experiments/build/temp.macosx-10.6-x86_64-2.7/ml.o b/experiments/build/temp.macosx-10.6-x86_64-2.7/ml.o
index 5fbcfe9..51e37b0 100644
--- a/experiments/build/temp.macosx-10.6-x86_64-2.7/ml.o
+++ b/experiments/build/temp.macosx-10.6-x86_64-2.7/ml.o
diff --git a/experiments/build_network.py b/experiments/build_network.py
index 17c8bb5..47f657b 100644
--- a/experiments/build_network.py
+++ b/experiments/build_network.py
@@ -13,9 +13,7 @@ def build_network(filename):
         for row in reader:
             from_, to = int(float(row["from"])), int(float(row["to"]))
             dist = int(row["dist"])
-            w1 = int(row["w1"])
-            w2 = int(row["w2"]) if dist>1 else float(row["w2"])
-            w3 = int(row["w3"]) if dist>2 else float(row["w3"])
+            w1, w2, w3 = float(row["w1"]), float(row["w2"]), float(row["w3"])
             if int(float(row["dist"])) > 2:
                 continue
             # 'to' is a victim
diff --git a/experiments/ml.c b/experiments/ml.c
index 1ae9098..d8318de 100644
--- a/experiments/ml.c
+++ b/experiments/ml.c
@@ -695,7 +695,7 @@ typedef npy_longdouble __pyx_t_5numpy_longdouble_t;
  * DTYPE = np.float64
  * ctypedef np.float_t DTYPE_t             # <<<<<<<<<<<<<<
  * 
- * 
+ * cdef DTYPE_t plogis(DTYPE_t weight, DTYPE_t delta):
  */
 typedef __pyx_t_5numpy_float_t __pyx_t_2ml_DTYPE_t;
 #if CYTHON_CCOMPLEX
@@ -759,7 +759,7 @@ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t;
  */
 typedef npy_cdouble __pyx_t_5numpy_complex_t;
 
-/* "ml.pyx":50
+/* "ml.pyx":52
  *     return result
  * 
  * def ml(dict root_victims, dict victims, dict non_victims, DTYPE_t age,             # <<<<<<<<<<<<<<
@@ -773,7 +773,7 @@ struct __pyx_obj_2ml___pyx_scope_struct__ml {
 };
 
 
-/* "ml.pyx":74
+/* "ml.pyx":76
  *                      for (dist, dt, w1, w2, w3) in parents]
  *         # find parent that maximizes p/\tilde{p}
  *         probs[i] = max(s - failures[l] for l, s in enumerate(successes))             # <<<<<<<<<<<<<<
@@ -1422,8 +1422,45 @@ static PyObject *__pyx_tuple__7;
 static PyObject *__pyx_tuple__8;
 static PyObject *__pyx_codeobj__9;
 
-/* "ml.pyx":10
+/* "ml.pyx":9
+ * ctypedef np.float_t DTYPE_t
  * 
+ * cdef DTYPE_t plogis(DTYPE_t weight, DTYPE_t delta):             # <<<<<<<<<<<<<<
+ *     return 1/(1 + exp(-weight/delta))
+ * 
+ */
+
+static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_plogis(__pyx_t_2ml_DTYPE_t __pyx_v_weight, __pyx_t_2ml_DTYPE_t __pyx_v_delta) {
+  __pyx_t_2ml_DTYPE_t __pyx_r;
+  __Pyx_RefNannyDeclarations
+  __Pyx_RefNannySetupContext("plogis", 0);
+
+  /* "ml.pyx":10
+ * 
+ * cdef DTYPE_t plogis(DTYPE_t weight, DTYPE_t delta):
+ *     return 1/(1 + exp(-weight/delta))             # <<<<<<<<<<<<<<
+ * 
+ * cdef DTYPE_t weight_success(int dist, int dt, DTYPE_t alpha,
+ */
+  __pyx_r = (1.0 / (1.0 + exp(((-__pyx_v_weight) / __pyx_v_delta))));
+  goto __pyx_L0;
+
+  /* "ml.pyx":9
+ * ctypedef np.float_t DTYPE_t
+ * 
+ * cdef DTYPE_t plogis(DTYPE_t weight, DTYPE_t delta):             # <<<<<<<<<<<<<<
+ *     return 1/(1 + exp(-weight/delta))
+ * 
+ */
+
+  /* function exit code */
+  __pyx_L0:;
+  __Pyx_RefNannyFinishContext();
+  return __pyx_r;
+}
+
+/* "ml.pyx":12
+ *     return 1/(1 + exp(-weight/delta))
  * 
  * cdef DTYPE_t weight_success(int dist, int dt, DTYPE_t alpha,             # <<<<<<<<<<<<<<
  *                            DTYPE_t delta, DTYPE_t gamma):
@@ -1438,7 +1475,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_success(int __pyx_v_dist, int __py
   __Pyx_RefNannyDeclarations
   __Pyx_RefNannySetupContext("weight_success", 0);
 
-  /* "ml.pyx":14
+  /* "ml.pyx":16
  *     """weight for successful infection, exponential time model"""
  *     cdef DTYPE_t structural, temporal, result
  *     structural = delta ** (dist)             # <<<<<<<<<<<<<<
@@ -1447,7 +1484,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_success(int __pyx_v_dist, int __py
  */
   __pyx_v_structural = pow(__pyx_v_delta, ((__pyx_t_2ml_DTYPE_t)__pyx_v_dist));
 
-  /* "ml.pyx":15
+  /* "ml.pyx":17
  *     cdef DTYPE_t structural, temporal, result
  *     structural = delta ** (dist)
  *     temporal = exp(-alpha * dt) * (1 - exp(-alpha))             # <<<<<<<<<<<<<<
@@ -1456,7 +1493,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_success(int __pyx_v_dist, int __py
  */
   __pyx_v_temporal = (exp(((-__pyx_v_alpha) * __pyx_v_dt)) * (1.0 - exp((-__pyx_v_alpha))));
 
-  /* "ml.pyx":16
+  /* "ml.pyx":18
  *     structural = delta ** (dist)
  *     temporal = exp(-alpha * dt) * (1 - exp(-alpha))
  *     result = log(structural * temporal)             # <<<<<<<<<<<<<<
@@ -1465,7 +1502,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_success(int __pyx_v_dist, int __py
  */
   __pyx_v_result = log((__pyx_v_structural * __pyx_v_temporal));
 
-  /* "ml.pyx":17
+  /* "ml.pyx":19
  *     temporal = exp(-alpha * dt) * (1 - exp(-alpha))
  *     result = log(structural * temporal)
  *     return result             # <<<<<<<<<<<<<<
@@ -1475,8 +1512,8 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_success(int __pyx_v_dist, int __py
   __pyx_r = __pyx_v_result;
   goto __pyx_L0;
 
-  /* "ml.pyx":10
- * 
+  /* "ml.pyx":12
+ *     return 1/(1 + exp(-weight/delta))
  * 
  * cdef DTYPE_t weight_success(int dist, int dt, DTYPE_t alpha,             # <<<<<<<<<<<<<<
  *                            DTYPE_t delta, DTYPE_t gamma):
@@ -1489,7 +1526,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_success(int __pyx_v_dist, int __py
   return __pyx_r;
 }
 
-/* "ml.pyx":20
+/* "ml.pyx":22
  * 
  * 
  * cdef DTYPE_t weight_success_power(int dist, int dt, DTYPE_t alpha,             # <<<<<<<<<<<<<<
@@ -1505,7 +1542,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_success_power(int __pyx_v_dist, in
   __Pyx_RefNannyDeclarations
   __Pyx_RefNannySetupContext("weight_success_power", 0);
 
-  /* "ml.pyx":24
+  /* "ml.pyx":26
  *     """weight for successful infection, power-law time model"""
  *     cdef DTYPE_t structural, temporal, result
  *     structural = delta ** (dist)             # <<<<<<<<<<<<<<
@@ -1514,7 +1551,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_success_power(int __pyx_v_dist, in
  */
   __pyx_v_structural = pow(__pyx_v_delta, ((__pyx_t_2ml_DTYPE_t)__pyx_v_dist));
 
-  /* "ml.pyx":25
+  /* "ml.pyx":27
  *     cdef DTYPE_t structural, temporal, result
  *     structural = delta ** (dist)
  *     temporal = 1. / (1. + (dt - 1.)/alpha)**0.01 - 1. / (1. + dt/alpha)**0.01             # <<<<<<<<<<<<<<
@@ -1523,7 +1560,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_success_power(int __pyx_v_dist, in
  */
   __pyx_v_temporal = ((1. / pow(((double)(1. + ((__pyx_v_dt - 1.) / __pyx_v_alpha))), 0.01)) - (1. / pow(((double)(1. + (__pyx_v_dt / __pyx_v_alpha))), 0.01)));
 
-  /* "ml.pyx":26
+  /* "ml.pyx":28
  *     structural = delta ** (dist)
  *     temporal = 1. / (1. + (dt - 1.)/alpha)**0.01 - 1. / (1. + dt/alpha)**0.01
  *     result = log(structural * temporal)             # <<<<<<<<<<<<<<
@@ -1532,7 +1569,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_success_power(int __pyx_v_dist, in
  */
   __pyx_v_result = log((__pyx_v_structural * __pyx_v_temporal));
 
-  /* "ml.pyx":27
+  /* "ml.pyx":29
  *     temporal = 1. / (1. + (dt - 1.)/alpha)**0.01 - 1. / (1. + dt/alpha)**0.01
  *     result = log(structural * temporal)
  *     return result             # <<<<<<<<<<<<<<
@@ -1542,7 +1579,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_success_power(int __pyx_v_dist, in
   __pyx_r = __pyx_v_result;
   goto __pyx_L0;
 
-  /* "ml.pyx":20
+  /* "ml.pyx":22
  * 
  * 
  * cdef DTYPE_t weight_success_power(int dist, int dt, DTYPE_t alpha,             # <<<<<<<<<<<<<<
@@ -1556,7 +1593,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_success_power(int __pyx_v_dist, in
   return __pyx_r;
 }
 
-/* "ml.pyx":30
+/* "ml.pyx":32
  * 
  * 
  * cdef DTYPE_t weight_failure(int dist, int dt, DTYPE_t alpha,             # <<<<<<<<<<<<<<
@@ -1572,7 +1609,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure(int __pyx_v_dist, int __py
   __Pyx_RefNannyDeclarations
   __Pyx_RefNannySetupContext("weight_failure", 0);
 
-  /* "ml.pyx":34
+  /* "ml.pyx":36
  *     """weight for failed infection, exponential time model"""
  *     cdef DTYPE_t structural, temporal, result
  *     structural = delta ** (dist)             # <<<<<<<<<<<<<<
@@ -1581,7 +1618,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure(int __pyx_v_dist, int __py
  */
   __pyx_v_structural = pow(__pyx_v_delta, ((__pyx_t_2ml_DTYPE_t)__pyx_v_dist));
 
-  /* "ml.pyx":35
+  /* "ml.pyx":37
  *     cdef DTYPE_t structural, temporal, result
  *     structural = delta ** (dist)
  *     temporal = 1. - exp(-alpha * dt)             # <<<<<<<<<<<<<<
@@ -1590,7 +1627,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure(int __pyx_v_dist, int __py
  */
   __pyx_v_temporal = (1. - exp(((-__pyx_v_alpha) * __pyx_v_dt)));
 
-  /* "ml.pyx":37
+  /* "ml.pyx":39
  *     temporal = 1. - exp(-alpha * dt)
  *     #result = log(1. - structural)
  *     result = log(1. - structural * temporal)             # <<<<<<<<<<<<<<
@@ -1599,7 +1636,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure(int __pyx_v_dist, int __py
  */
   __pyx_v_result = log((1. - (__pyx_v_structural * __pyx_v_temporal)));
 
-  /* "ml.pyx":38
+  /* "ml.pyx":40
  *     #result = log(1. - structural)
  *     result = log(1. - structural * temporal)
  *     return result             # <<<<<<<<<<<<<<
@@ -1609,7 +1646,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure(int __pyx_v_dist, int __py
   __pyx_r = __pyx_v_result;
   goto __pyx_L0;
 
-  /* "ml.pyx":30
+  /* "ml.pyx":32
  * 
  * 
  * cdef DTYPE_t weight_failure(int dist, int dt, DTYPE_t alpha,             # <<<<<<<<<<<<<<
@@ -1623,7 +1660,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure(int __pyx_v_dist, int __py
   return __pyx_r;
 }
 
-/* "ml.pyx":41
+/* "ml.pyx":43
  * 
  * 
  * cdef DTYPE_t weight_failure_power(int dist, int dt, DTYPE_t alpha,             # <<<<<<<<<<<<<<
@@ -1639,7 +1676,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure_power(int __pyx_v_dist, in
   __Pyx_RefNannyDeclarations
   __Pyx_RefNannySetupContext("weight_failure_power", 0);
 
-  /* "ml.pyx":45
+  /* "ml.pyx":47
  *     """weight for failed infection, power-law time model"""
  *     cdef DTYPE_t structural, temporal, result
  *     structural = delta ** (dist)             # <<<<<<<<<<<<<<
@@ -1648,7 +1685,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure_power(int __pyx_v_dist, in
  */
   __pyx_v_structural = pow(__pyx_v_delta, ((__pyx_t_2ml_DTYPE_t)__pyx_v_dist));
 
-  /* "ml.pyx":46
+  /* "ml.pyx":48
  *     cdef DTYPE_t structural, temporal, result
  *     structural = delta ** (dist)
  *     temporal = 1.  - 1. / (1. + dt/alpha)**0.01             # <<<<<<<<<<<<<<
@@ -1657,7 +1694,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure_power(int __pyx_v_dist, in
  */
   __pyx_v_temporal = (1. - (1. / pow(((double)(1. + (__pyx_v_dt / __pyx_v_alpha))), 0.01)));
 
-  /* "ml.pyx":47
+  /* "ml.pyx":49
  *     structural = delta ** (dist)
  *     temporal = 1.  - 1. / (1. + dt/alpha)**0.01
  *     result = log(1. - structural * temporal)             # <<<<<<<<<<<<<<
@@ -1666,7 +1703,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure_power(int __pyx_v_dist, in
  */
   __pyx_v_result = log((1. - (__pyx_v_structural * __pyx_v_temporal)));
 
-  /* "ml.pyx":48
+  /* "ml.pyx":50
  *     temporal = 1.  - 1. / (1. + dt/alpha)**0.01
  *     result = log(1. - structural * temporal)
  *     return result             # <<<<<<<<<<<<<<
@@ -1676,7 +1713,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure_power(int __pyx_v_dist, in
   __pyx_r = __pyx_v_result;
   goto __pyx_L0;
 
-  /* "ml.pyx":41
+  /* "ml.pyx":43
  * 
  * 
  * cdef DTYPE_t weight_failure_power(int dist, int dt, DTYPE_t alpha,             # <<<<<<<<<<<<<<
@@ -1690,7 +1727,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure_power(int __pyx_v_dist, in
   return __pyx_r;
 }
 
-/* "ml.pyx":50
+/* "ml.pyx":52
  *     return result
  * 
  * def ml(dict root_victims, dict victims, dict non_victims, DTYPE_t age,             # <<<<<<<<<<<<<<
@@ -1740,27 +1777,27 @@ static PyObject *__pyx_pw_2ml_1ml(PyObject *__pyx_self, PyObject *__pyx_args, Py
         case  1:
         if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_victims)) != 0)) kw_args--;
         else {
-          __Pyx_RaiseArgtupleInvalid("ml", 0, 6, 7, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+          __Pyx_RaiseArgtupleInvalid("ml", 0, 6, 7, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
         }
         case  2:
         if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_non_victims)) != 0)) kw_args--;
         else {
-          __Pyx_RaiseArgtupleInvalid("ml", 0, 6, 7, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+          __Pyx_RaiseArgtupleInvalid("ml", 0, 6, 7, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
         }
         case  3:
         if (likely((values[3] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_age)) != 0)) kw_args--;
         else {
-          __Pyx_RaiseArgtupleInvalid("ml", 0, 6, 7, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+          __Pyx_RaiseArgtupleInvalid("ml", 0, 6, 7, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
         }
         case  4:
         if (likely((values[4] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_alpha)) != 0)) kw_args--;
         else {
-          __Pyx_RaiseArgtupleInvalid("ml", 0, 6, 7, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+          __Pyx_RaiseArgtupleInvalid("ml", 0, 6, 7, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
         }
         case  5:
         if (likely((values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_delta)) != 0)) kw_args--;
         else {
-          __Pyx_RaiseArgtupleInvalid("ml", 0, 6, 7, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+          __Pyx_RaiseArgtupleInvalid("ml", 0, 6, 7, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
         }
         case  6:
         if (kw_args > 0) {
@@ -1769,7 +1806,7 @@ static PyObject *__pyx_pw_2ml_1ml(PyObject *__pyx_self, PyObject *__pyx_args, Py
         }
       }
       if (unlikely(kw_args > 0)) {
-        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "ml") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "ml") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
       }
     } else {
       switch (PyTuple_GET_SIZE(__pyx_args)) {
@@ -1787,26 +1824,26 @@ static PyObject *__pyx_pw_2ml_1ml(PyObject *__pyx_self, PyObject *__pyx_args, Py
     __pyx_v_root_victims = ((PyObject*)values[0]);
     __pyx_v_victims = ((PyObject*)values[1]);
     __pyx_v_non_victims = ((PyObject*)values[2]);
-    __pyx_v_age = __pyx_PyFloat_AsDouble(values[3]); if (unlikely((__pyx_v_age == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
-    __pyx_v_alpha = __pyx_PyFloat_AsDouble(values[4]); if (unlikely((__pyx_v_alpha == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
-    __pyx_v_delta = __pyx_PyFloat_AsDouble(values[5]); if (unlikely((__pyx_v_delta == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+    __pyx_v_age = __pyx_PyFloat_AsDouble(values[3]); if (unlikely((__pyx_v_age == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+    __pyx_v_alpha = __pyx_PyFloat_AsDouble(values[4]); if (unlikely((__pyx_v_alpha == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 53; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+    __pyx_v_delta = __pyx_PyFloat_AsDouble(values[5]); if (unlikely((__pyx_v_delta == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 53; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
     if (values[6]) {
-      __pyx_v_gamma = __pyx_PyFloat_AsDouble(values[6]); if (unlikely((__pyx_v_gamma == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+      __pyx_v_gamma = __pyx_PyFloat_AsDouble(values[6]); if (unlikely((__pyx_v_gamma == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 53; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
     } else {
       __pyx_v_gamma = ((__pyx_t_2ml_DTYPE_t)10.0);
     }
   }
   goto __pyx_L4_argument_unpacking_done;
   __pyx_L5_argtuple_error:;
-  __Pyx_RaiseArgtupleInvalid("ml", 0, 6, 7, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+  __Pyx_RaiseArgtupleInvalid("ml", 0, 6, 7, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
   __pyx_L3_error:;
   __Pyx_AddTraceback("ml.ml", __pyx_clineno, __pyx_lineno, __pyx_filename);
   __Pyx_RefNannyFinishContext();
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   __pyx_L4_argument_unpacking_done:;
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+  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_root_victims), (&PyDict_Type), 1, "root_victims", 1))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_victims), (&PyDict_Type), 1, "victims", 1))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_non_victims), (&PyDict_Type), 1, "non_victims", 1))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -1819,7 +1856,7 @@ static PyObject *__pyx_pw_2ml_1ml(PyObject *__pyx_self, PyObject *__pyx_args, Py
 }
 static PyObject *__pyx_gb_2ml_2ml_2generator(__pyx_GeneratorObject *__pyx_generator, PyObject *__pyx_sent_value); /* proto */
 
-/* "ml.pyx":74
+/* "ml.pyx":76
  *                      for (dist, dt, w1, w2, w3) in parents]
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@@ -1845,7 +1882,7 @@ static PyObject *__pyx_pf_2ml_2ml_genexpr(PyObject *__pyx_self) {
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+    __pyx_GeneratorObject *gen = __Pyx_Generator_New((__pyx_generator_body_t) __pyx_gb_2ml_2ml_2generator, (PyObject *) __pyx_cur_scope, __pyx_n_s_genexpr, __pyx_n_s_ml_locals_genexpr); if (unlikely(!gen)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -1883,16 +1920,16 @@ static PyObject *__pyx_gb_2ml_2ml_2generator(__pyx_GeneratorObject *__pyx_genera
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-  if (unlikely(!__pyx_sent_value)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  if (unlikely(!__pyx_sent_value)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    __pyx_t_5 = PyNumber_Subtract(__pyx_cur_scope->__pyx_v_s, __pyx_t_4); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-    if (unlikely(!__pyx_sent_value)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    if (unlikely(!__pyx_sent_value)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -1947,7 +1984,7 @@ static PyObject *__pyx_gb_2ml_2ml_2generator(__pyx_GeneratorObject *__pyx_genera
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 }
 
-/* "ml.pyx":50
+/* "ml.pyx":52
  *     return result
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@@ -2040,7 +2077,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
   __pyx_pybuffernd_cums.data = NULL;
   __pyx_pybuffernd_cums.rcbuffer = &__pyx_pybuffer_cums;
 
-  /* "ml.pyx":56
+  /* "ml.pyx":58
  *         DTYPE_t beta, ll, beta2
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-    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  __pyx_t_1 = PyDict_Size(__pyx_v_root_victims); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  __pyx_t_2 = PyDict_Size(__pyx_v_victims); if (unlikely(__pyx_t_2 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  /* "ml.pyx":57
+  /* "ml.pyx":59
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@@ -2069,48 +2106,48 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  __pyx_t_2 = PyDict_Size(__pyx_v_non_victims); if (unlikely(__pyx_t_2 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_2 = PyDict_Size(__pyx_v_non_victims); if (unlikely(__pyx_t_2 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  /* "ml.pyx":59
+  /* "ml.pyx":61
  *     n_nodes = n_roots + n_victims + len(non_victims)
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-  __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_5, __pyx_t_3); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  if (!(likely(((__pyx_t_6) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_6, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  /* "ml.pyx":60
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+  __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 62; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  if (!(likely(((__pyx_t_4) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_4, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 62; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 60; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 62; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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   __pyx_t_4 = 0;
 
-  /* "ml.pyx":61
+  /* "ml.pyx":63
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  *         np.ndarray[DTYPE_t] probs_fail = np.zeros(n_victims, dtype=DTYPE)
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  * 
  *     # loop through victims
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-  __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 63; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_zeros); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_zeros); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 63; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_DTYPE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 63; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 63; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 63; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2211,7 +2248,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-  /* "ml.pyx":64
+  /* "ml.pyx":66
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-    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 64; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 66; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  __pyx_t_4 = __Pyx_dict_iterator(__pyx_v_victims, 1, __pyx_n_s_itervalues, (&__pyx_t_1), (&__pyx_t_11)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 64; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_4 = __Pyx_dict_iterator(__pyx_v_victims, 1, __pyx_n_s_itervalues, (&__pyx_t_1), (&__pyx_t_11)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 66; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2232,25 +2269,25 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-    if (unlikely(__pyx_t_12 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 64; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    if (unlikely(__pyx_t_12 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 66; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-    if (!(likely(PyList_CheckExact(__pyx_t_4))||((__pyx_t_4) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "list", Py_TYPE(__pyx_t_4)->tp_name), 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 64; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    if (!(likely(PyList_CheckExact(__pyx_t_4))||((__pyx_t_4) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "list", Py_TYPE(__pyx_t_4)->tp_name), 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 66; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-    /* "ml.pyx":68
+    /* "ml.pyx":70
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+    __pyx_t_4 = PyList_New(0); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_GOTREF(__pyx_t_4);
 
-    /* "ml.pyx":69
+    /* "ml.pyx":71
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-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 69; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 71; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+      __pyx_t_6 = PyList_GET_ITEM(__pyx_t_5, __pyx_t_13); __Pyx_INCREF(__pyx_t_6); __pyx_t_13++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 71; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+      __pyx_t_6 = PySequence_ITEM(__pyx_t_5, __pyx_t_13); __pyx_t_13++; if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 71; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-          {__pyx_filename = __pyx_f[0]; __pyx_lineno = 69; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+          {__pyx_filename = __pyx_f[0]; __pyx_lineno = 71; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+            PyObject* item = PySequence_ITEM(sequence, i); if (unlikely(!item)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 71; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2315,7 +2352,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-        __pyx_t_19 = PyObject_GetIter(__pyx_t_6); if (unlikely(!__pyx_t_19)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 69; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+        __pyx_t_19 = PyObject_GetIter(__pyx_t_6); if (unlikely(!__pyx_t_19)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 71; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2324,7 +2361,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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+        if (__Pyx_IternextUnpackEndCheck(__pyx_t_20(__pyx_t_19), 5) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 71; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2332,12 +2369,12 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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         __pyx_t_20 = NULL;
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-        {__pyx_filename = __pyx_f[0]; __pyx_lineno = 69; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+        {__pyx_filename = __pyx_f[0]; __pyx_lineno = 71; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      __pyx_t_12 = __Pyx_PyInt_As_int(__pyx_t_14); if (unlikely((__pyx_t_12 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 69; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_12 = __Pyx_PyInt_As_int(__pyx_t_14); if (unlikely((__pyx_t_12 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 71; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+      __pyx_t_21 = __Pyx_PyInt_As_int(__pyx_t_15); if (unlikely((__pyx_t_21 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 71; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
       __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
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       __pyx_v_dt = __pyx_t_21;
@@ -2348,19 +2385,19 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
       __Pyx_XDECREF_SET(__pyx_v_w3, __pyx_t_18);
       __pyx_t_18 = 0;
 
-      /* "ml.pyx":68
+      /* "ml.pyx":70
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  *         failures = [weight_failure(dist, dt, alpha, delta, gamma)             # <<<<<<<<<<<<<<
  *                     for (dist, dt, w1, w2, w3) in parents]
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-      __pyx_t_6 = PyFloat_FromDouble(__pyx_f_2ml_weight_failure(__pyx_v_dist, __pyx_v_dt, __pyx_v_alpha, __pyx_v_delta, __pyx_v_gamma)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_6 = PyFloat_FromDouble(__pyx_f_2ml_weight_failure(__pyx_v_dist, __pyx_v_dt, __pyx_v_alpha, __pyx_v_delta, __pyx_v_gamma)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
       __Pyx_GOTREF(__pyx_t_6);
-      if (unlikely(__Pyx_ListComp_Append(__pyx_t_4, (PyObject*)__pyx_t_6))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      if (unlikely(__Pyx_ListComp_Append(__pyx_t_4, (PyObject*)__pyx_t_6))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
       __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
 
-      /* "ml.pyx":69
+      /* "ml.pyx":71
  *         # likely parent infects it
  *         failures = [weight_failure(dist, dt, alpha, delta, gamma)
  *                     for (dist, dt, w1, w2, w3) in parents]             # <<<<<<<<<<<<<<
@@ -2374,38 +2411,38 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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     __pyx_t_4 = 0;
 
-    /* "ml.pyx":70
+    /* "ml.pyx":72
  *         failures = [weight_failure(dist, dt, alpha, delta, gamma)
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  *         probs_fail[i] = sum(failures)             # <<<<<<<<<<<<<<
  *         successes = [weight_success(dist, dt, alpha, delta, gamma)
  *                      for (dist, dt, w1, w2, w3) in parents]
  */
-    __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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     __Pyx_INCREF(__pyx_cur_scope->__pyx_v_failures);
     PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_cur_scope->__pyx_v_failures);
     __Pyx_GIVEREF(__pyx_cur_scope->__pyx_v_failures);
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+    __pyx_t_5 = __Pyx_PyObject_Call(__pyx_builtin_sum, __pyx_t_4, NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_GOTREF(__pyx_t_5);
     __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
-    __pyx_t_22 = __pyx_PyFloat_AsDouble(__pyx_t_5); if (unlikely((__pyx_t_22 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_22 = __pyx_PyFloat_AsDouble(__pyx_t_5); if (unlikely((__pyx_t_22 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
     __pyx_t_21 = __pyx_v_i;
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-    /* "ml.pyx":71
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  *                      for (dist, dt, w1, w2, w3) in parents]
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-    __pyx_t_5 = PyList_New(0); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 71; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_5 = PyList_New(0); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_GOTREF(__pyx_t_5);
 
-    /* "ml.pyx":72
+    /* "ml.pyx":74
  *         probs_fail[i] = sum(failures)
  *         successes = [weight_success(dist, dt, alpha, delta, gamma)
  *                      for (dist, dt, w1, w2, w3) in parents]             # <<<<<<<<<<<<<<
@@ -2414,15 +2451,15 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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       PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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     for (;;) {
       if (__pyx_t_13 >= PyList_GET_SIZE(__pyx_t_4)) break;
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-      __pyx_t_6 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_13); __Pyx_INCREF(__pyx_t_6); __pyx_t_13++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_6 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_13); __Pyx_INCREF(__pyx_t_6); __pyx_t_13++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
       #else
-      __pyx_t_6 = PySequence_ITEM(__pyx_t_4, __pyx_t_13); __pyx_t_13++; if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_6 = PySequence_ITEM(__pyx_t_4, __pyx_t_13); __pyx_t_13++; if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2434,7 +2471,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-          {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+          {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2460,7 +2497,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
           Py_ssize_t i;
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           for (i=0; i < 5; i++) {
-            PyObject* item = PySequence_ITEM(sequence, i); if (unlikely(!item)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+            PyObject* item = PySequence_ITEM(sequence, i); if (unlikely(!item)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2470,7 +2507,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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         PyObject** temps[5] = {&__pyx_t_18,&__pyx_t_17,&__pyx_t_16,&__pyx_t_15,&__pyx_t_14};
-        __pyx_t_19 = PyObject_GetIter(__pyx_t_6); if (unlikely(!__pyx_t_19)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+        __pyx_t_19 = PyObject_GetIter(__pyx_t_6); if (unlikely(!__pyx_t_19)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2479,7 +2516,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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         }
-        if (__Pyx_IternextUnpackEndCheck(__pyx_t_20(__pyx_t_19), 5) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+        if (__Pyx_IternextUnpackEndCheck(__pyx_t_20(__pyx_t_19), 5) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2487,12 +2524,12 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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         if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
-        {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+        {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
         __pyx_L12_unpacking_done:;
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-      __pyx_t_12 = __Pyx_PyInt_As_int(__pyx_t_18); if (unlikely((__pyx_t_12 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_12 = __Pyx_PyInt_As_int(__pyx_t_18); if (unlikely((__pyx_t_12 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+      __pyx_t_23 = __Pyx_PyInt_As_int(__pyx_t_17); if (unlikely((__pyx_t_23 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
       __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;
       __pyx_v_dist = __pyx_t_12;
       __pyx_v_dt = __pyx_t_23;
@@ -2503,19 +2540,19 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
       __Pyx_XDECREF_SET(__pyx_v_w3, __pyx_t_14);
       __pyx_t_14 = 0;
 
-      /* "ml.pyx":71
+      /* "ml.pyx":73
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  *         probs_fail[i] = sum(failures)
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  *                      for (dist, dt, w1, w2, w3) in parents]
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-      __pyx_t_6 = PyFloat_FromDouble(__pyx_f_2ml_weight_success(__pyx_v_dist, __pyx_v_dt, __pyx_v_alpha, __pyx_v_delta, __pyx_v_gamma)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 71; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_6 = PyFloat_FromDouble(__pyx_f_2ml_weight_success(__pyx_v_dist, __pyx_v_dt, __pyx_v_alpha, __pyx_v_delta, __pyx_v_gamma)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      if (unlikely(__Pyx_ListComp_Append(__pyx_t_5, (PyObject*)__pyx_t_6))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 71; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      if (unlikely(__Pyx_ListComp_Append(__pyx_t_5, (PyObject*)__pyx_t_6))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
       __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
 
-      /* "ml.pyx":72
+      /* "ml.pyx":74
  *         probs_fail[i] = sum(failures)
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-    /* "ml.pyx":74
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  *                      for (dist, dt, w1, w2, w3) in parents]
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+    __pyx_t_5 = __pyx_pf_2ml_2ml_genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-    __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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     __Pyx_GIVEREF(__pyx_t_5);
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+    __pyx_t_5 = __Pyx_PyObject_Call(__pyx_builtin_max, __pyx_t_4, NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    __pyx_t_22 = __pyx_PyFloat_AsDouble(__pyx_t_5); if (unlikely((__pyx_t_22 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2554,7 +2591,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 77; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    if (!(likely(PyList_CheckExact(__pyx_t_5))||((__pyx_t_5) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "list", Py_TYPE(__pyx_t_5)->tp_name), 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 79; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    __pyx_t_5 = PyList_New(0); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 82; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 81; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 83; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+      __pyx_t_6 = PySequence_ITEM(__pyx_t_4, __pyx_t_13); __pyx_t_13++; if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 83; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-          {__pyx_filename = __pyx_f[0]; __pyx_lineno = 81; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+          {__pyx_filename = __pyx_f[0]; __pyx_lineno = 83; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2648,7 +2685,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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+            PyObject* item = PySequence_ITEM(sequence, i); if (unlikely(!item)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 83; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2667,7 +2704,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-        {__pyx_filename = __pyx_f[0]; __pyx_lineno = 81; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+        {__pyx_filename = __pyx_f[0]; __pyx_lineno = 83; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2691,19 +2728,19 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-      /* "ml.pyx":80
+      /* "ml.pyx":82
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+      if (unlikely(__Pyx_ListComp_Append(__pyx_t_5, (PyObject*)__pyx_t_6))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 82; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      /* "ml.pyx":81
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-    /* "ml.pyx":82
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+    __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 84; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    __pyx_t_4 = __Pyx_PyObject_Call(__pyx_builtin_sum, __pyx_t_5, NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 84; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    __pyx_t_22 = __pyx_PyFloat_AsDouble(__pyx_t_4); if (unlikely((__pyx_t_22 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 84; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  /* "ml.pyx":85
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@@ -2760,17 +2797,17 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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     __Pyx_BufFmt_StackElem __pyx_stack[1];
@@ -2786,20 +2823,20 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
       }
     }
     __pyx_pybuffernd_probs.diminfo[0].strides = __pyx_pybuffernd_probs.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_probs.diminfo[0].shape = __pyx_pybuffernd_probs.rcbuffer->pybuffer.shape[0];
-    if (unlikely(__pyx_t_10 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 85; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    if (unlikely(__pyx_t_10 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 87; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   }
   __pyx_t_7 = 0;
   __Pyx_DECREF_SET(__pyx_v_probs, ((PyArrayObject *)__pyx_t_3));
   __pyx_t_3 = 0;
 
-  /* "ml.pyx":87
+  /* "ml.pyx":89
  *     probs.sort(); probs = probs[::-1] # sort probs in descending order
  *     cdef:
  *         np.ndarray[DTYPE_t] cums = probs.cumsum()             # <<<<<<<<<<<<<<
  *     ll =  probs_fail.sum()
  *     ll += probs_nv.sum()
  */
-  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_probs), __pyx_n_s_cumsum); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 87; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_probs), __pyx_n_s_cumsum); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_t_4);
   __pyx_t_5 = NULL;
   if (CYTHON_COMPILING_IN_CPYTHON && likely(PyMethod_Check(__pyx_t_4))) {
@@ -2812,20 +2849,20 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
     }
   }
   if (__pyx_t_5) {
-    __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 87; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
   } else {
-    __pyx_t_3 = __Pyx_PyObject_CallNoArg(__pyx_t_4); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 87; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_3 = __Pyx_PyObject_CallNoArg(__pyx_t_4); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   }
   __Pyx_GOTREF(__pyx_t_3);
   __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
-  if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 87; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __pyx_t_28 = ((PyArrayObject *)__pyx_t_3);
   {
     __Pyx_BufFmt_StackElem __pyx_stack[1];
     if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_cums.rcbuffer->pybuffer, (PyObject*)__pyx_t_28, &__Pyx_TypeInfo_nn___pyx_t_2ml_DTYPE_t, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {
       __pyx_v_cums = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_cums.rcbuffer->pybuffer.buf = NULL;
-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 87; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     } else {__pyx_pybuffernd_cums.diminfo[0].strides = __pyx_pybuffernd_cums.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_cums.diminfo[0].shape = __pyx_pybuffernd_cums.rcbuffer->pybuffer.shape[0];
     }
   }
@@ -2833,14 +2870,14 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
   __pyx_v_cums = ((PyArrayObject *)__pyx_t_3);
   __pyx_t_3 = 0;
 
-  /* "ml.pyx":88
+  /* "ml.pyx":90
  *     cdef:
  *         np.ndarray[DTYPE_t] cums = probs.cumsum()
  *     ll =  probs_fail.sum()             # <<<<<<<<<<<<<<
  *     ll += probs_nv.sum()
  * 
  */
-  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_probs_fail), __pyx_n_s_sum); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 88; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_probs_fail), __pyx_n_s_sum); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 90; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_t_4);
   __pyx_t_5 = NULL;
   if (CYTHON_COMPILING_IN_CPYTHON && likely(PyMethod_Check(__pyx_t_4))) {
@@ -2853,27 +2890,27 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
     }
   }
   if (__pyx_t_5) {
-    __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 88; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 90; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
   } else {
-    __pyx_t_3 = __Pyx_PyObject_CallNoArg(__pyx_t_4); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 88; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_3 = __Pyx_PyObject_CallNoArg(__pyx_t_4); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 90; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   }
   __Pyx_GOTREF(__pyx_t_3);
   __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
-  __pyx_t_22 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_22 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 88; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_22 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_22 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 90; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
   __pyx_v_ll = __pyx_t_22;
 
-  /* "ml.pyx":89
+  /* "ml.pyx":91
  *         np.ndarray[DTYPE_t] cums = probs.cumsum()
  *     ll =  probs_fail.sum()
  *     ll += probs_nv.sum()             # <<<<<<<<<<<<<<
  * 
  *     for i in xrange(n_victims - 1, 0, -1):
  */
-  __pyx_t_3 = PyFloat_FromDouble(__pyx_v_ll); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_3 = PyFloat_FromDouble(__pyx_v_ll); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 91; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_t_3);
-  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_probs_nv), __pyx_n_s_sum); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_probs_nv), __pyx_n_s_sum); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 91; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_t_5);
   __pyx_t_6 = NULL;
   if (CYTHON_COMPILING_IN_CPYTHON && likely(PyMethod_Check(__pyx_t_5))) {
@@ -2886,22 +2923,22 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
     }
   }
   if (__pyx_t_6) {
-    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 91; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
   } else {
-    __pyx_t_4 = __Pyx_PyObject_CallNoArg(__pyx_t_5); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_4 = __Pyx_PyObject_CallNoArg(__pyx_t_5); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 91; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   }
   __Pyx_GOTREF(__pyx_t_4);
   __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
-  __pyx_t_5 = PyNumber_InPlaceAdd(__pyx_t_3, __pyx_t_4); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_5 = PyNumber_InPlaceAdd(__pyx_t_3, __pyx_t_4); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 91; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_t_5);
   __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
   __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
-  __pyx_t_22 = __pyx_PyFloat_AsDouble(__pyx_t_5); if (unlikely((__pyx_t_22 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_22 = __pyx_PyFloat_AsDouble(__pyx_t_5); if (unlikely((__pyx_t_22 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 91; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
   __pyx_v_ll = __pyx_t_22;
 
-  /* "ml.pyx":91
+  /* "ml.pyx":93
  *     ll += probs_nv.sum()
  * 
  *     for i in xrange(n_victims - 1, 0, -1):             # <<<<<<<<<<<<<<
@@ -2911,41 +2948,29 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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     __pyx_v_i = __pyx_t_10;
 
-    /* "ml.pyx":93
+    /* "ml.pyx":95
  *     for i in xrange(n_victims - 1, 0, -1):
  *         # iterate over all victim nodes to find the optimal threshold
  *         roots = n_roots + n_victims - 1 - i             # <<<<<<<<<<<<<<
- *         beta = exp(probs[i])#1. / (1. + exp(-probs[i]))
- *         print beta
+ *         beta = 1. / (1. + exp(-probs[i]))#exp(probs[i])#
+ *         if beta > float(roots) / age:
  */
     __pyx_v_roots = (((__pyx_v_n_roots + __pyx_v_n_victims) - 1) - __pyx_v_i);
 
-    /* "ml.pyx":94
+    /* "ml.pyx":96
  *         # iterate over all victim nodes to find the optimal threshold
  *         roots = n_roots + n_victims - 1 - i
- *         beta = exp(probs[i])#1. / (1. + exp(-probs[i]))             # <<<<<<<<<<<<<<
- *         print beta
+ *         beta = 1. / (1. + exp(-probs[i]))#exp(probs[i])#             # <<<<<<<<<<<<<<
  *         if beta > float(roots) / age:
+ *             break
  */
     __pyx_t_11 = __pyx_v_i;
     if (__pyx_t_11 < 0) __pyx_t_11 += __pyx_pybuffernd_probs.diminfo[0].shape;
-    __pyx_v_beta = exp((*__Pyx_BufPtrStrided1d(__pyx_t_2ml_DTYPE_t *, __pyx_pybuffernd_probs.rcbuffer->pybuffer.buf, __pyx_t_11, __pyx_pybuffernd_probs.diminfo[0].strides)));
+    __pyx_v_beta = (1. / (1. + exp((-(*__Pyx_BufPtrStrided1d(__pyx_t_2ml_DTYPE_t *, __pyx_pybuffernd_probs.rcbuffer->pybuffer.buf, __pyx_t_11, __pyx_pybuffernd_probs.diminfo[0].strides))))));
 
-    /* "ml.pyx":95
+    /* "ml.pyx":97
  *         roots = n_roots + n_victims - 1 - i
- *         beta = exp(probs[i])#1. / (1. + exp(-probs[i]))
- *         print beta             # <<<<<<<<<<<<<<
- *         if beta > float(roots) / age:
- *             break
- */
-    __pyx_t_5 = PyFloat_FromDouble(__pyx_v_beta); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 95; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
-    __Pyx_GOTREF(__pyx_t_5);
-    if (__Pyx_PrintOne(0, __pyx_t_5) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 95; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
-    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
-
-    /* "ml.pyx":96
- *         beta = exp(probs[i])#1. / (1. + exp(-probs[i]))
- *         print beta
+ *         beta = 1. / (1. + exp(-probs[i]))#exp(probs[i])#
  *         if beta > float(roots) / age:             # <<<<<<<<<<<<<<
  *             break
  *     else:
@@ -2953,8 +2978,8 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
     __pyx_t_29 = ((__pyx_v_beta > (((double)__pyx_v_roots) / __pyx_v_age)) != 0);
     if (__pyx_t_29) {
 
-      /* "ml.pyx":97
- *         print beta
+      /* "ml.pyx":98
+ *         beta = 1. / (1. + exp(-probs[i]))#exp(probs[i])#
  *         if beta > float(roots) / age:
  *             break             # <<<<<<<<<<<<<<
  *     else:
@@ -2965,18 +2990,18 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
   }
   /*else*/ {
 
-    /* "ml.pyx":99
+    /* "ml.pyx":100
  *             break
  *     else:
  *         print "alpha: {0}, delta: {1}. Everyone is a root".format(alpha, delta)             # <<<<<<<<<<<<<<
  *         roots = n_victims + n_roots
  *         i = -1
  */
-    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_kp_s_alpha_0_delta_1_Everyone_is_a_ro, __pyx_n_s_format); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 99; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_kp_s_alpha_0_delta_1_Everyone_is_a_ro, __pyx_n_s_format); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 100; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_GOTREF(__pyx_t_4);
-    __pyx_t_3 = PyFloat_FromDouble(__pyx_v_alpha); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 99; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_3 = PyFloat_FromDouble(__pyx_v_alpha); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 100; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_GOTREF(__pyx_t_3);
-    __pyx_t_6 = PyFloat_FromDouble(__pyx_v_delta); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 99; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_6 = PyFloat_FromDouble(__pyx_v_delta); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 100; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_GOTREF(__pyx_t_6);
     __pyx_t_18 = NULL;
     __pyx_t_2 = 0;
@@ -2990,7 +3015,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
         __pyx_t_2 = 1;
       }
     }
-    __pyx_t_17 = PyTuple_New(2+__pyx_t_2); if (unlikely(!__pyx_t_17)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 99; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_17 = PyTuple_New(2+__pyx_t_2); if (unlikely(!__pyx_t_17)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 100; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_GOTREF(__pyx_t_17);
     if (__pyx_t_18) {
       PyTuple_SET_ITEM(__pyx_t_17, 0, __pyx_t_18); __Pyx_GIVEREF(__pyx_t_18); __pyx_t_18 = NULL;
@@ -3001,14 +3026,14 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
     __Pyx_GIVEREF(__pyx_t_6);
     __pyx_t_3 = 0;
     __pyx_t_6 = 0;
-    __pyx_t_5 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_17, NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 99; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_5 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_17, NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 100; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_GOTREF(__pyx_t_5);
     __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;
     __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
-    if (__Pyx_PrintOne(0, __pyx_t_5) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 99; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    if (__Pyx_PrintOne(0, __pyx_t_5) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 100; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
 
-    /* "ml.pyx":100
+    /* "ml.pyx":101
  *     else:
  *         print "alpha: {0}, delta: {1}. Everyone is a root".format(alpha, delta)
  *         roots = n_victims + n_roots             # <<<<<<<<<<<<<<
@@ -3017,7 +3042,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
  */
     __pyx_v_roots = (__pyx_v_n_victims + __pyx_v_n_roots);
 
-    /* "ml.pyx":101
+    /* "ml.pyx":102
  *         print "alpha: {0}, delta: {1}. Everyone is a root".format(alpha, delta)
  *         roots = n_victims + n_roots
  *         i = -1             # <<<<<<<<<<<<<<
@@ -3028,7 +3053,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
   }
   __pyx_L20_break:;
 
-  /* "ml.pyx":102
+  /* "ml.pyx":103
  *         roots = n_victims + n_roots
  *         i = -1
  *     beta = float(roots) / age             # <<<<<<<<<<<<<<
@@ -3037,7 +3062,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
  */
   __pyx_v_beta = (((double)__pyx_v_roots) / __pyx_v_age);
 
-  /* "ml.pyx":103
+  /* "ml.pyx":104
  *         i = -1
  *     beta = float(roots) / age
  *     for i in xrange(n_victims - 1, 0, -1):             # <<<<<<<<<<<<<<
@@ -3047,7 +3072,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
   for (__pyx_t_10 = (__pyx_v_n_victims - 1); __pyx_t_10 > 0; __pyx_t_10-=1) {
     __pyx_v_i = __pyx_t_10;
 
-    /* "ml.pyx":104
+    /* "ml.pyx":105
  *     beta = float(roots) / age
  *     for i in xrange(n_victims - 1, 0, -1):
  *         if probs[i] >= log(beta/(1.- beta)):             # <<<<<<<<<<<<<<
@@ -3059,7 +3084,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
     __pyx_t_29 = (((*__Pyx_BufPtrStrided1d(__pyx_t_2ml_DTYPE_t *, __pyx_pybuffernd_probs.rcbuffer->pybuffer.buf, __pyx_t_12, __pyx_pybuffernd_probs.diminfo[0].strides)) >= log((__pyx_v_beta / (1. - __pyx_v_beta)))) != 0);
     if (__pyx_t_29) {
 
-      /* "ml.pyx":105
+      /* "ml.pyx":106
  *     for i in xrange(n_victims - 1, 0, -1):
  *         if probs[i] >= log(beta/(1.- beta)):
  *             break             # <<<<<<<<<<<<<<
@@ -3071,7 +3096,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
   }
   __pyx_L23_break:;
 
-  /* "ml.pyx":106
+  /* "ml.pyx":107
  *         if probs[i] >= log(beta/(1.- beta)):
  *             break
  *     ll += age * log(1 - beta)             # <<<<<<<<<<<<<<
@@ -3080,7 +3105,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
  */
   __pyx_v_ll = (__pyx_v_ll + (__pyx_v_age * log((1.0 - __pyx_v_beta))));
 
-  /* "ml.pyx":107
+  /* "ml.pyx":108
  *             break
  *     ll += age * log(1 - beta)
  *     if i >= 0:             # <<<<<<<<<<<<<<
@@ -3090,7 +3115,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
   __pyx_t_29 = ((__pyx_v_i >= 0) != 0);
   if (__pyx_t_29) {
 
-    /* "ml.pyx":108
+    /* "ml.pyx":109
  *     ll += age * log(1 - beta)
  *     if i >= 0:
  *         ll += cums[i]             # <<<<<<<<<<<<<<
@@ -3104,7 +3129,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
   }
   __pyx_L25:;
 
-  /* "ml.pyx":109
+  /* "ml.pyx":110
  *     if i >= 0:
  *         ll += cums[i]
  *     if roots > 0:             # <<<<<<<<<<<<<<
@@ -3114,7 +3139,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
   __pyx_t_29 = ((__pyx_v_roots > 0) != 0);
   if (__pyx_t_29) {
 
-    /* "ml.pyx":110
+    /* "ml.pyx":111
  *         ll += cums[i]
  *     if roots > 0:
  *         ll += roots * log(beta) - roots * log(1 - beta)             # <<<<<<<<<<<<<<
@@ -3125,19 +3150,19 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
   }
   __pyx_L26:;
 
-  /* "ml.pyx":111
+  /* "ml.pyx":112
  *     if roots > 0:
  *         ll += roots * log(beta) - roots * log(1 - beta)
  *     return (beta, roots, ll)             # <<<<<<<<<<<<<<
  */
   __Pyx_XDECREF(__pyx_r);
-  __pyx_t_5 = PyFloat_FromDouble(__pyx_v_beta); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 111; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_5 = PyFloat_FromDouble(__pyx_v_beta); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 112; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_t_5);
-  __pyx_t_4 = __Pyx_PyInt_From_int(__pyx_v_roots); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 111; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_4 = __Pyx_PyInt_From_int(__pyx_v_roots); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 112; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_t_4);
-  __pyx_t_17 = PyFloat_FromDouble(__pyx_v_ll); if (unlikely(!__pyx_t_17)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 111; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_17 = PyFloat_FromDouble(__pyx_v_ll); if (unlikely(!__pyx_t_17)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 112; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_t_17);
-  __pyx_t_6 = PyTuple_New(3); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 111; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_6 = PyTuple_New(3); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 112; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_t_6);
   PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_5);
   __Pyx_GIVEREF(__pyx_t_5);
@@ -3152,7 +3177,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
   __pyx_t_6 = 0;
   goto __pyx_L0;
 
-  /* "ml.pyx":50
+  /* "ml.pyx":52
  *     return result
  * 
  * def ml(dict root_victims, dict victims, dict non_victims, DTYPE_t age,             # <<<<<<<<<<<<<<
@@ -5524,13 +5549,13 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
   {0, 0, 0, 0, 0, 0, 0}
 };
 static int __Pyx_InitCachedBuiltins(void) {
-  __pyx_builtin_enumerate = __Pyx_GetBuiltinName(__pyx_n_s_enumerate); if (!__pyx_builtin_enumerate) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 64; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
-  __pyx_builtin_sum = __Pyx_GetBuiltinName(__pyx_n_s_sum); if (!__pyx_builtin_sum) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
-  __pyx_builtin_max = __Pyx_GetBuiltinName(__pyx_n_s_max); if (!__pyx_builtin_max) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_builtin_enumerate = __Pyx_GetBuiltinName(__pyx_n_s_enumerate); if (!__pyx_builtin_enumerate) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 66; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_builtin_sum = __Pyx_GetBuiltinName(__pyx_n_s_sum); if (!__pyx_builtin_sum) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_builtin_max = __Pyx_GetBuiltinName(__pyx_n_s_max); if (!__pyx_builtin_max) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   #if PY_MAJOR_VERSION >= 3
-  __pyx_builtin_xrange = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 91; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_builtin_xrange = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 93; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   #else
-  __pyx_builtin_xrange = __Pyx_GetBuiltinName(__pyx_n_s_xrange); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 91; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_builtin_xrange = __Pyx_GetBuiltinName(__pyx_n_s_xrange); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 93; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   #endif
   __pyx_builtin_ValueError = __Pyx_GetBuiltinName(__pyx_n_s_ValueError); if (!__pyx_builtin_ValueError) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 218; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_range) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 231; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
@@ -5544,14 +5569,14 @@ static int __Pyx_InitCachedConstants(void) {
   __Pyx_RefNannyDeclarations
   __Pyx_RefNannySetupContext("__Pyx_InitCachedConstants", 0);
 
-  /* "ml.pyx":85
+  /* "ml.pyx":87
  * 
  *     # calculate log likelihood
  *     probs.sort(); probs = probs[::-1] # sort probs in descending order             # <<<<<<<<<<<<<<
  *     cdef:
  *         np.ndarray[DTYPE_t] cums = probs.cumsum()
  */
-  __pyx_slice_ = PySlice_New(Py_None, Py_None, __pyx_int_neg_1); if (unlikely(!__pyx_slice_)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 85; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_slice_ = PySlice_New(Py_None, Py_None, __pyx_int_neg_1); if (unlikely(!__pyx_slice_)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 87; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_slice_);
   __Pyx_GIVEREF(__pyx_slice_);
 
@@ -5621,17 +5646,17 @@ static int __Pyx_InitCachedConstants(void) {
   __Pyx_GOTREF(__pyx_tuple__7);
   __Pyx_GIVEREF(__pyx_tuple__7);
 
-  /* "ml.pyx":50
+  /* "ml.pyx":52
  *     return result
  * 
  * def ml(dict root_victims, dict victims, dict non_victims, DTYPE_t age,             # <<<<<<<<<<<<<<
  *        DTYPE_t alpha, DTYPE_t delta, DTYPE_t gamma=10):
  *     cdef:
  */
-  __pyx_tuple__8 = PyTuple_Pack(31, __pyx_n_s_root_victims, __pyx_n_s_victims, __pyx_n_s_non_victims, __pyx_n_s_age, __pyx_n_s_alpha, __pyx_n_s_delta, __pyx_n_s_gamma, __pyx_n_s_n_roots, __pyx_n_s_n_victims, __pyx_n_s_n_nodes, __pyx_n_s_roots, __pyx_n_s_i, __pyx_n_s_dist, __pyx_n_s_dt, __pyx_n_s_t, __pyx_n_s_l, __pyx_n_s_beta, __pyx_n_s_ll, __pyx_n_s_beta2, __pyx_n_s_parents, __pyx_n_s_failures, __pyx_n_s_successes, __pyx_n_s_probs, __pyx_n_s_probs_fail, __pyx_n_s_probs_nv, __pyx_n_s_cums, __pyx_n_s_w1, __pyx_n_s_w2, __pyx_n_s_w3, __pyx_n_s_genexpr, __pyx_n_s_genexpr); if (unlikely(!__pyx_tuple__8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_tuple__8 = PyTuple_Pack(31, __pyx_n_s_root_victims, __pyx_n_s_victims, __pyx_n_s_non_victims, __pyx_n_s_age, __pyx_n_s_alpha, __pyx_n_s_delta, __pyx_n_s_gamma, __pyx_n_s_n_roots, __pyx_n_s_n_victims, __pyx_n_s_n_nodes, __pyx_n_s_roots, __pyx_n_s_i, __pyx_n_s_dist, __pyx_n_s_dt, __pyx_n_s_t, __pyx_n_s_l, __pyx_n_s_beta, __pyx_n_s_ll, __pyx_n_s_beta2, __pyx_n_s_parents, __pyx_n_s_failures, __pyx_n_s_successes, __pyx_n_s_probs, __pyx_n_s_probs_fail, __pyx_n_s_probs_nv, __pyx_n_s_cums, __pyx_n_s_w1, __pyx_n_s_w2, __pyx_n_s_w3, __pyx_n_s_genexpr, __pyx_n_s_genexpr); if (unlikely(!__pyx_tuple__8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_tuple__8);
   __Pyx_GIVEREF(__pyx_tuple__8);
-  __pyx_codeobj__9 = (PyObject*)__Pyx_PyCode_New(7, 0, 31, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__8, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_ben_Documents_Cascade_Pro, __pyx_n_s_ml, 50, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_codeobj__9 = (PyObject*)__Pyx_PyCode_New(7, 0, 31, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__8, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_ben_Documents_Cascade_Pro, __pyx_n_s_ml, 52, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_RefNannyFinishContext();
   return 0;
   __pyx_L1_error:;
@@ -5728,10 +5753,10 @@ PyMODINIT_FUNC PyInit_ml(void)
   /*--- Variable export code ---*/
   /*--- Function export code ---*/
   /*--- Type init code ---*/
-  if (PyType_Ready(&__pyx_type_2ml___pyx_scope_struct__ml) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  if (PyType_Ready(&__pyx_type_2ml___pyx_scope_struct__ml) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __pyx_type_2ml___pyx_scope_struct__ml.tp_print = 0;
   __pyx_ptype_2ml___pyx_scope_struct__ml = &__pyx_type_2ml___pyx_scope_struct__ml;
-  if (PyType_Ready(&__pyx_type_2ml___pyx_scope_struct_1_genexpr) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  if (PyType_Ready(&__pyx_type_2ml___pyx_scope_struct_1_genexpr) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __pyx_type_2ml___pyx_scope_struct_1_genexpr.tp_print = 0;
   __pyx_ptype_2ml___pyx_scope_struct_1_genexpr = &__pyx_type_2ml___pyx_scope_struct_1_genexpr;
   /*--- Type import code ---*/
@@ -5777,16 +5802,16 @@ PyMODINIT_FUNC PyInit_ml(void)
   if (PyDict_SetItem(__pyx_d, __pyx_n_s_DTYPE, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 6; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
 
-  /* "ml.pyx":50
+  /* "ml.pyx":52
  *     return result
  * 
  * def ml(dict root_victims, dict victims, dict non_victims, DTYPE_t age,             # <<<<<<<<<<<<<<
  *        DTYPE_t alpha, DTYPE_t delta, DTYPE_t gamma=10):
  *     cdef:
  */
-  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_2ml_1ml, NULL, __pyx_n_s_ml); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_2ml_1ml, NULL, __pyx_n_s_ml); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_t_2);
-  if (PyDict_SetItem(__pyx_d, __pyx_n_s_ml, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  if (PyDict_SetItem(__pyx_d, __pyx_n_s_ml, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
 
   /* "ml.pyx":1
diff --git a/experiments/ml.pyx b/experiments/ml.pyx
index c1a5616..9c570e9 100644
--- a/experiments/ml.pyx
+++ b/experiments/ml.pyx
@@ -6,6 +6,8 @@ from libc.math cimport log, exp
 DTYPE = np.float64
 ctypedef np.float_t DTYPE_t
 
+cdef DTYPE_t plogis(DTYPE_t weight, DTYPE_t delta):
+    return 1/(1 + exp(-weight/delta))
 
 cdef DTYPE_t weight_success(int dist, int dt, DTYPE_t alpha,
                            DTYPE_t delta, DTYPE_t gamma):
diff --git a/experiments/ml.so b/experiments/ml.so
index 6dcab82..c681095 100755
--- a/experiments/ml.so
+++ b/experiments/ml.so
diff --git a/experiments/out.log b/experiments/out.log
index f6caa9b..3d1c011 100644
--- a/experiments/out.log
+++ b/experiments/out.log
@@ -1,15 +1,480 @@
 1.0	0.01	3.82496925296e-05	10927	-123894.745252
+1.0	0.06	3.72415556715e-05	10639	-132428.544958
 1.0	0.11	3.69615176554e-05	10559	-146433.341002
+1.0	0.16	3.66569763128e-05	10472	-165973.170107
 1.0	0.21	3.66569763128e-05	10472	-191235.823611
-1.0	0.31	3.64469478007e-05	10412	-260465.254415
-1.0	0.41	3.61669097846e-05	10332	-358572.455236
-1.0	0.51	3.61669097846e-05	10332	-493346.776777
-1.0	0.61	3.5879870818e-05	10250	-678702.795812
-1.0	0.71	3.5879870818e-05	10250	-941793.902677
-1.0	0.81	3.56243361283e-05	10177	-1345861.15169
+1.0	0.26	3.64469478007e-05	10412	-222581.705257
+0.0196078431373	0.01	3.51272686497e-05	10035	-123198.774923
+0.0196078431373	0.06	2.65441034549e-05	7583	-129019.702528
+0.0196078431373	0.11	2.16819433997e-05	6194	-139106.948457
+0.0196078431373	0.16	1.98161901172e-05	5661	-155427.756691
+0.0196078431373	0.21	1.87135404286e-05	5346	-177957.624589
+0.0196078431373	0.26	1.79994434875e-05	5142	-206846.070546
 0.00990099009901	0.01	3.45181859646e-05	9861	-123434.443377
+0.00990099009901	0.06	2.68696476487e-05	7676	-129021.89714
 0.00990099009901	0.11	1.80484501403e-05	5156	-138449.306153
+0.00990099009901	0.16	1.58256483872e-05	4521	-153858.548948
 0.00990099009901	0.21	1.45689777897e-05	4162	-175475.261761
-0.00990099009901	0.31	1.32527991139e-05	3786	-237994.762027
-0.00990099009901	0.41	1.26192131023e-05	3605	-329318.903778
-0.00990099009901	0.51	1.21921551277e-05	3483	-456389.667272
+0.00990099009901	0.26	1.37778703941e-05	3936	-203416.932024
+0.00662251655629	0.01	3.47912230303e-05	9939	-123682.034612
+0.00662251655629	0.06	2.87704056833e-05	8219	-128741.775561
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+0.000259672812257	0.16	2.20459928207e-05	6298	-133595.812045
+0.000259672812257	0.21	2.20459928207e-05	6298	-138899.10715
+0.000259672812257	0.26	9.01022316933e-06	2574	-145636.683228
+0.000256344527044	0.01	3.8515728645e-05	11003	-123190.438144
+0.000256344527044	0.06	3.8515728645e-05	11003	-125610.456906
+0.000256344527044	0.11	3.8515728645e-05	11003	-129389.78468
+0.000256344527044	0.16	2.20459928207e-05	6298	-133527.474714
+0.000256344527044	0.21	2.20459928207e-05	6298	-138761.765671
+0.000256344527044	0.26	9.01022316933e-06	2574	-145458.886472
+0.000253100480891	0.01	3.8515728645e-05	11003	-123187.18797
+0.000253100480891	0.06	3.8515728645e-05	11003	-125582.453225
+0.000253100480891	0.11	3.8515728645e-05	11003	-129322.957573
+0.000253100480891	0.16	2.20459928207e-05	6298	-133461.017155
+0.000253100480891	0.21	2.20459928207e-05	6298	-138627.716556
+0.000253100480891	0.26	9.01022316933e-06	2574	-145285.613165
diff --git a/experiments/process.py b/experiments/process.py
index 5c4c215..98406d6 100644
--- a/experiments/process.py
+++ b/experiments/process.py
@@ -11,11 +11,11 @@ if __name__ == "__main__":
         sys.exit("usage: {0} <file>".format(sys.argv[0]))
 
     root_victims, victims, non_victims, age = load(open(sys.argv[1]))
-    alpha = 1. / np.arange(1., 1000., 100.)  # parameter of the time component
-    delta = np.arange(0.01, 0.9, 0.1)  # parameter of the structural component
+    alphas = 1. / np.arange(1., 4000., 50.)  # parameter of the time component
+    deltas = np.arange(0.01, 0.3, 0.05)  # parameter of the structural component
     with open("out.log", "w") as fh:
-        for a, d in product(alpha, delta):
-            beta, roots, ll = ml(root_victims, victims, non_victims, age, a, d)
-            print "\t".join(map(str, [a, d, beta, roots, ll, exp(ll)]))
-            fh.write("\t".join(map(str, [a, d, beta, roots, ll])) + "\n")
+        for alpha, delta in product(alphas, deltas):
+            beta, roots, ll = ml(root_victims, victims, non_victims, age, alpha, delta)
+            print "\t".join(map(str, [1/alpha, delta, beta, roots, ll, exp(ll)]))
+            fh.write("\t".join(map(str, [alpha, delta, beta, roots, ll])) + "\n")
             fh.flush()