CountDistinct

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

Count function with distinct clause. This only counts unique elements.