fastprop

getml.feature_learning.aggregations.fastprop = _Aggregations(All=['AVG', 'COUNT', 'COUNT DISTINCT', 'COUNT MINUS COUNT DISTINCT', 'FIRST', 'LAST', 'MAX', 'MEDIAN', 'MIN', 'STDDEV', 'SUM', 'VAR', 'COUNT ABOVE MEAN', 'COUNT BELOW MEAN', 'COUNT DISTINCT OVER COUNT', 'EWMA_1S', 'EWMA_1M', 'EWMA_1H', 'EWMA_1D', 'EWMA_7D', 'EWMA_30D', 'EWMA_90D', 'EWMA_365D', 'KURTOSIS', 'MODE', 'NUM MAX', 'NUM MIN', 'Q1', 'Q5', 'Q10', 'Q25', 'Q75', 'Q90', 'Q95', 'Q99', 'SKEW', 'TIME SINCE FIRST MAXIMUM', 'TIME SINCE FIRST MINIMUM', 'TIME SINCE LAST MAXIMUM', 'TIME SINCE LAST MINIMUM', 'TREND', 'VARIATION COEFFICIENT'], Default=['AVG', 'COUNT', 'COUNT DISTINCT', 'COUNT MINUS COUNT DISTINCT', 'FIRST', 'LAST', 'MAX', 'MEDIAN', 'MIN', 'MODE', 'STDDEV', 'SUM', 'TREND'], Minimal=['AVG', 'COUNT', 'MAX', 'MIN', 'SUM'])

Set of default aggregations for FastProp and FastPropTimeseries. All contains all aggregations supported by FastProp, Default contains the subset of reasonable default aggregations, Minimal is minimal set.