CLA - ECG model params

gistfile1.py

MODEL_PARAMS = (
{   'aggregationInfo': {   'days': 0,
                           'fields': [],
                           'hours': 0,
                           'microseconds': 0,
                           'milliseconds': 0,
                           'minutes': 0,
                           'months': 0,
                           'seconds': 0,
                           'weeks': 0,
                           'years': 0},
    'model': 'CLA',
    'modelParams': {   'anomalyParams': {   u'anomalyCacheRecords': None,
                                            u'autoDetectThreshold': None,
                                            u'autoDetectWaitRecords': None},
                       'clParams': {   'alpha': 0.0001,
                                       'clVerbosity': 0,
                                       'regionName': 'CLAClassifierRegion',
                                       'steps': '1'},
                       'inferenceType': 'TemporalAnomaly',
                       'sensorParams': {   'encoders': {   u'V5': {   'clipInput': True,
                                                                      'fieldname': 'V5',
                                                                      'n': 338,
                                                                      'name': 'V5',
                                                                      'type': 'AdaptiveScalarEncoder',
                                                                      'w': 21},
                                                           u'timestamp_dayOfWeek': None,
                                                           u'timestamp_timeOfDay': None,
                                                           u'timestamp_weekend': None},
                                           'sensorAutoReset': None,
                                           'verbosity': 0},
                       'spEnable': True,
                       'spParams': {   'columnCount': 2048,
                                       'globalInhibition': 1,
                                       'inputWidth': 0,
                                       'maxBoost': 2.0,
                                       'numActiveColumnsPerInhArea': 40,
                                       'potentialPct': 0.8,
                                       'seed': 1956,
                                       'spVerbosity': 0,
                                       'spatialImp': 'cpp',
                                       'synPermActiveInc': 0.05,
                                       'synPermConnected': 0.1,
                                       'synPermInactiveDec': 0.019160468367359493},
                       'tpEnable': True,
                       'tpParams': {   'activationThreshold': 12,
                                       'cellsPerColumn': 32,
                                       'columnCount': 2048,
                                       'globalDecay': 0.0,
                                       'initialPerm': 0.21,
                                       'inputWidth': 2048,
                                       'maxAge': 0,
                                       'maxSegmentsPerCell': 128,
                                       'maxSynapsesPerSegment': 32,
                                       'minThreshold': 10,
                                       'newSynapseCount': 20,
                                       'outputType': 'normal',
                                       'pamLength': 3,
                                       'permanenceDec': 0.1,
                                       'permanenceInc': 0.1,
                                       'seed': 1960,
                                       'temporalImp': 'cpp',
                                       'verbosity': 0},
                       'trainSPNetOnlyIfRequested': False},
    'predictAheadTime': None,
    'version': 1}
)