Changed distribution keyword, casted some attributes to float, remove…

…d setting list (#3784)

Changed capnproto schema, added distribution key on read method

src/nupic/algorithms/anomaly_likelihood.py

@@ -271,26 +271,23 @@ def read(cls, proto):
       anomalyLikelihood._historicalScores.append((i, score.value,
                                                   score.anomalyScore))
     if proto.distribution.name: # is "" when there is no distribution.
-      anomalyLikelihood._distribution = {}
-      anomalyLikelihood._distribution["name"] = proto.distribution.name
-      anomalyLikelihood._distribution["mean"] = proto.distribution.mean
-      anomalyLikelihood._distribution["variance"] = proto.distribution.variance
-      anomalyLikelihood._distribution["stdev"] = proto.distribution.stdev
+      anomalyLikelihood._distribution = dict()
+      anomalyLikelihood._distribution['distribution'] = dict()
+      anomalyLikelihood._distribution['distribution']["name"] = proto.distribution.name
+      anomalyLikelihood._distribution['distribution']["mean"] = proto.distribution.mean
+      anomalyLikelihood._distribution['distribution']["variance"] = proto.distribution.variance
+      anomalyLikelihood._distribution['distribution']["stdev"] = proto.distribution.stdev
 
       anomalyLikelihood._distribution["movingAverage"] = {}
-      anomalyLikelihood._distribution["movingAverage"]["windowSize"] =\
-        proto.distribution.movingAverage.windowSize
+      anomalyLikelihood._distribution["movingAverage"]["windowSize"] = proto.distribution.movingAverage.windowSize
       anomalyLikelihood._distribution["movingAverage"]["historicalValues"] = []
       for value in proto.distribution.movingAverage.historicalValues:
-        anomalyLikelihood._distribution["movingAverage"]["historicalValues"]\
-          .append(value)
-      anomalyLikelihood._distribution["movingAverage"]["total"] =\
-        proto.distribution.movingAverage.total
+        anomalyLikelihood._distribution["movingAverage"]["historicalValues"].append(value)
+      anomalyLikelihood._distribution["movingAverage"]["total"] = proto.distribution.movingAverage.total
 
       anomalyLikelihood._distribution["historicalLikelihoods"] = []
       for likelihood in proto.distribution.historicalLikelihoods:
-        anomalyLikelihood._distribution["historicalLikelihoods"].append(
-          likelihood)
+        anomalyLikelihood._distribution["historicalLikelihoods"].append(likelihood)
     else:
       anomalyLikelihood._distribution = None
 
@@ -308,6 +305,7 @@ def write(self, proto):
     :param proto: (Object) capnp proto object specified in
                           nupic.regions.AnomalyLikelihoodRegion.capnp
     """
+
     proto.iteration = self._iteration
 
     pHistScores = proto.init('historicalScores', len(self._historicalScores))
@@ -317,33 +315,27 @@ def write(self, proto):
       record.value = float(value)
       record.anomalyScore = float(anomalyScore)
 
-    if self._distribution:
-      proto.distribution.name = self._distribution["distributionParams"]["name"]
-      proto.distribution.mean = self._distribution["distributionParams"]["mean"]
-      proto.distribution.variance = self._distribution["distributionParams"]\
-        ["variance"]
-      proto.distribution.stdev = self._distribution["distributionParams"]\
-        ["stdev"]
-
-      proto.distribution.movingAverage.windowSize = self._distribution\
-        ["movingAverage"]["windowSize"]
-
-      historicalValues = self._distribution["movingAverage"]["historicalValues"]
-      pHistValues = proto.distribution.movingAverage.init(
-        "historicalValues", len(historicalValues))
-      for i, value in enumerate(historicalValues):
-        pHistValues[i] = float(value)
-
-      proto.distribution.movingAverage.historicalValues = self._distribution\
-        ["movingAverage"]["historicalValues"]
-      proto.distribution.movingAverage.total = self._distribution\
-        ["movingAverage"]["total"]
-
-      historicalLikelihoods = self._distribution["historicalLikelihoods"]
-      pHistLikelihoods = proto.distribution.init("historicalLikelihoods",
-                                                 len(historicalLikelihoods))
-      for i, likelihood in enumerate(historicalLikelihoods):
-        pHistLikelihoods[i] = float(likelihood)
+    proto.distribution.name = self._distribution["distribution"]["name"]
+    proto.distribution.mean = float(self._distribution["distribution"]["mean"])
+    proto.distribution.variance = float(self._distribution["distribution"]["variance"])
+    proto.distribution.stdev = float(self._distribution["distribution"]["stdev"])
+
+    proto.distribution.movingAverage.windowSize = float(self._distribution["movingAverage"]["windowSize"])
+
+    historicalValues = self._distribution["movingAverage"]["historicalValues"]
+    pHistValues = proto.distribution.movingAverage.init(
+      "historicalValues", len(historicalValues))
+    for i, value in enumerate(historicalValues):
+      pHistValues[i] = float(value)
+
+    #proto.distribution.movingAverage.historicalValues = self._distribution["movingAverage"]["historicalValues"]
+    proto.distribution.movingAverage.total = float(self._distribution["movingAverage"]["total"])
+
+    historicalLikelihoods = self._distribution["historicalLikelihoods"]
+    pHistLikelihoods = proto.distribution.init("historicalLikelihoods",
+                                               len(historicalLikelihoods))
+    for i, likelihood in enumerate(historicalLikelihoods):
+      pHistLikelihoods[i] = float(likelihood)
 
     proto.probationaryPeriod = self._probationaryPeriod
     proto.learningPeriod = self._learningPeriod

src/nupic/regions/AnomalyLikelihoodRegion.capnp

@@ -16,16 +16,16 @@ struct AnomalyLikelihoodRegionProto {
 
   struct Distribution {
     name @0 :Text;
-    mean @1 :Float32;
-    variance @2 :Float32;
-    stdev @3 :Float32;
+    mean @1 :Float64;
+    variance @2 :Float64;
+    stdev @3 :Float64;
     movingAverage @4 :MovingAverage;
-    historicalLikelihoods @5 :List(Float32);
+    historicalLikelihoods @5 :List(Float64);
 
     struct MovingAverage {
       windowSize @0 :UInt64;
-      historicalValues @1 :List(Float32);
-      total @2 :Float32;
+      historicalValues @1 :List(Float64);
+      total @2 :Float64;
     }
   }
 }