Optimal default params

examples/opf/experiments/anomaly/temporal/hotgym/description.py

@@ -127,10 +127,9 @@
             # (value generated from DS_ENCODER_SCHEMA)
             'encoders': {   'consumption': {   'clipInput': True,
                                    'fieldname': u'consumption',
-                                   'n': 100,
                                    'name': u'consumption',
-                                   'type': 'AdaptiveScalarEncoder',
-                                   'w': 21},
+                                   'type': 'RandomDistributedScalarEncoder',
+                                   'numBuckets': 130.0},
                 'timestamp_dayOfWeek': {   'dayOfWeek': (21, 1),
                                            'fieldname': u'timestamp',
                                            'name': u'timestamp_dayOfWeek',
@@ -185,7 +184,7 @@
             # What percent of the columns's receptive field is available
             # for potential synapses. At initialization time, we will
             # choose potentialPct * (2*potentialRadius+1)^2
-            'potentialPct': 0.5,
+            'potentialPct': 0.8,
 
             # The default connected threshold. Any synapse whose
             # permanence value is above the connected threshold is
@@ -196,11 +195,11 @@
             # threshold set below this default value.
             # (This concept applies to both SP and TP and so 'cells'
             # is correct here as opposed to 'columns')
-            'synPermConnected': 0.1,
+            'synPermConnected': 0.2,
 
-            'synPermActiveInc': 0.1,
+            'synPermActiveInc': 0.003,
 
-            'synPermInactiveDec': 0.01,
+            'synPermInactiveDec': 0.0005,
         },
 
         # Controls whether TP is enabled or disabled;
@@ -275,22 +274,22 @@
             # during search for the best-matching segments.
             # None=use default
             # Replaces: tpMinThreshold
-            'minThreshold': 12,
+            'minThreshold': 10,
 
             # Segment activation threshold.
             # A segment is active if it has >= tpSegmentActivationThreshold
             # connected synapses that are active due to infActiveState
             # None=use default
             # Replaces: tpActivationThreshold
-            'activationThreshold': 12,
+            'activationThreshold': 13,
 
             'outputType': 'normal',
 
             # "Pay Attention Mode" length. This tells the TP how many new
             # elements to append to the end of a learned sequence at a time.
             # Smaller values are better for datasets with short sequences,
             # higher values are better for datasets with long sequences.
-            'pamLength': 1,
+            'pamLength': 3,
         },
 
         'clParams': {
@@ -305,7 +304,7 @@
 
             # This controls how fast the classifier learns/forgets. Higher values
             # make it adapt faster and forget older patterns faster.
-            'alpha': 0.0001,
+            'alpha': 0.0358,
 
             # This is set after the call to updateConfigFromSubConfig and is
             # computed from the aggregationInfo and predictAheadTime.

src/nupic/frameworks/opf/common_models/anomaly_params_random_encoder/best_single_metric_anomaly_params.json

@@ -57,7 +57,6 @@
         "numActiveColumnsPerInhArea": 40,
         "seed": 1956,
         "spVerbosity": 0,
-        "spatialImp": "cpp",
         "synPermActiveInc": 0.003,
         "synPermConnected": 0.2,
         "synPermInactiveDec": 0.0005

src/nupic/research/TP.py

@@ -62,31 +62,31 @@ class TP(ConsolePrinterMixin):
   """
 
   def __init__(self,
-               numberOfCols=500,
-               cellsPerColumn=10,
-               initialPerm=0.11,
+               numberOfCols=2048,
+               cellsPerColumn=32,
+               initialPerm=0.21,
                connectedPerm=0.50,
-               minThreshold=8,
-               newSynapseCount=15,
+               minThreshold=10,
+               newSynapseCount=20,
                permanenceInc=0.10,
                permanenceDec=0.10,
                permanenceMax=1.0,
-               globalDecay=0.10,
-               activationThreshold=12,
+               globalDecay=0.0, #disabled
+               activationThreshold=13,
                doPooling=False,
                segUpdateValidDuration=5,
                burnIn=2,
                collectStats=False,
                seed=42,
                verbosity=VERBOSITY,
                checkSynapseConsistency=False,  # for cpp only -- ignored
-               pamLength=1,
+               pamLength=3,
                maxInfBacktrack=10,
                maxLrnBacktrack=5,
-               maxAge=100000,
+               maxAge=0,
                maxSeqLength=32,
-               maxSegmentsPerCell=-1,
-               maxSynapsesPerSegment=-1,
+               maxSegmentsPerCell=128,
+               maxSynapsesPerSegment=32,
                outputType='normal',
               ):
     """

src/nupic/research/TP_shim.py

@@ -43,25 +43,17 @@ class TPShimMixin(object):
   TP => Temporal Memory shim class.
   """
   def __init__(self,
-               numberOfCols=500,
-               cellsPerColumn=10,
-               initialPerm=0.11,
+               numberOfCols=2048,
+               cellsPerColumn=32,
+               initialPerm=0.21,
                connectedPerm=0.50,
-               minThreshold=8,
-               newSynapseCount=15,
+               minThreshold=10,
+               newSynapseCount=20,
                permanenceInc=0.10,
                permanenceDec=0.10,
-               permanenceMax=1.0,
-               activationThreshold=12,
-               predictedSegmentDecrement=0,
-               maxSegmentsPerCell=255,
-               maxSynapsesPerSegment=255,
-               globalDecay=0.10,
-               maxAge=100000,
-               pamLength=1,
-               verbosity=0,
-               outputType="normal",
-               seed=42):
+               seed=42,
+              ):
+
     """
     Translate parameters and initialize member variables specific to `TP.py`.
     """

src/nupic/research/spatial_pooler.py

@@ -111,21 +111,21 @@ class SpatialPooler(object):
 
   def __init__(self,
                inputDimensions=(32, 32),
-               columnDimensions=(64, 64),
+               columnDimensions=(2048,1),
                potentialRadius=16,
-               potentialPct=0.5,
-               globalInhibition=False,
+               potentialPct=0.8,
+               globalInhibition=True,
                localAreaDensity=-1.0,
-               numActiveColumnsPerInhArea=10.0,
+               numActiveColumnsPerInhArea=40,
                stimulusThreshold=0,
-               synPermInactiveDec=0.008,
-               synPermActiveInc=0.05,
-               synPermConnected=0.10,
+               synPermInactiveDec=0.0005,
+               synPermActiveInc=0.003,
+               synPermConnected=0.2,
                minPctOverlapDutyCycle=0.001,
                minPctActiveDutyCycle=0.001,
                dutyCyclePeriod=1000,
-               maxBoost=10.0,
-               seed=-1,
+               maxBoost=1.0, # 1.0=effectively disabled
+               seed=1956,
                spVerbosity=0,
                wrapAround=True
                ):

src/nupic/research/temporal_memory.py

@@ -51,8 +51,8 @@ def __init__(self,
                permanenceIncrement=0.10,
                permanenceDecrement=0.10,
                predictedSegmentDecrement=0.0,
-               maxSegmentsPerCell=255,
-               maxSynapsesPerSegment=255,
+               maxSegmentsPerCell=128,
+               maxSynapsesPerSegment=32,
                seed=42,
                **kwargs):
     """