0.16.0

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Python API
- Project management
- Data handling
- Database
- Demo datasets
- getML engine
- Preprocessors
- Feature learning
  - FastPropModel
  - FastPropTimeSeries
  - MultirelModel
  - MultirelTimeSeries
  - RelboostModel
  - RelboostTimeSeries
  - RelMTModel
  - RelMTTimeSeries
  - aggregations
    - Avg
    - Count
    - CountAboveMean
    - CountBelowMean
    - CountDistinct
    - CountDistinctOverCount
    - CountMinusCountDistinct
    - First
    - Kurtosis
    - Last
    - Max
    - Median
    - Min
    - Mode
    - NumMax
    - NumMin
    - Q1
    - Q5
    - Q10
    - Q25
    - Q75
    - Q90
    - Q95
    - Q99
    - Skew
    - Stddev
    - Sum
    - TimeSinceFirstMaximum
    - TimeSinceFirstMinimum
    - TimeSinceLastMaximum
    - TimeSinceLastMinimum
    - Var
    - VariationCoefficient
    - fastprop
    - mapping
    - multirel
- Predictors
- Pipeline
- Hyperopt
Command line interface

About

getML

Docs »
Python API »
getml.feature_learning »
aggregations »
CountDistinct

CountDistinct¶

getml.feature_learning.aggregations.CountDistinct = 'COUNT DISTINCT'¶: Count function with distinct clause. This only counts unique elements.

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