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getml.feature_learning.aggregations.types

Avg module-attribute 

Avg = Literal['AVG']

Count module-attribute 

Count = Literal['COUNT']

CountDistinct module-attribute 

CountDistinct = Literal['COUNT DISTINCT']

CountDistinctOverCount module-attribute 

CountDistinctOverCount = Literal[
    "COUNT DISTINCT OVER COUNT"
]

CountMinusCountDistinct module-attribute 

CountMinusCountDistinct = Literal[
    "COUNT MINUS COUNT DISTINCT"
]

EWMA_1s module-attribute 

EWMA_1s = Literal['EWMA_1S']

EWMA_1m module-attribute 

EWMA_1m = Literal['EWMA_1M']

EWMA_1h module-attribute 

EWMA_1h = Literal['EWMA_1H']

EWMA_1d module-attribute 

EWMA_1d = Literal['EWMA_1D']

EWMA_7d module-attribute 

EWMA_7d = Literal['EWMA_7D']

EWMA_30d module-attribute 

EWMA_30d = Literal['EWMA_30D']

EWMA_90d module-attribute 

EWMA_90d = Literal['EWMA_90D']

EWMA_365d module-attribute 

EWMA_365d = Literal['EWMA_365D']

EWMA_TREND_1s module-attribute 

EWMA_TREND_1s = Literal['EWMA_TREND_1S']

EWMA_TREND_1m module-attribute 

EWMA_TREND_1m = Literal['EWMA_TREND_1M']

EWMA_TREND_1h module-attribute 

EWMA_TREND_1h = Literal['EWMA_TREND_1H']

EWMA_TREND_1d module-attribute 

EWMA_TREND_1d = Literal['EWMA_TREND_1D']

EWMA_TREND_7d module-attribute 

EWMA_TREND_7d = Literal['EWMA_TREND_7D']

EWMA_TREND_30d module-attribute 

EWMA_TREND_30d = Literal['EWMA_TREND_30D']

EWMA_TREND_90d module-attribute 

EWMA_TREND_90d = Literal['EWMA_TREND_90D']

EWMA_TREND_365d module-attribute 

EWMA_TREND_365d = Literal['EWMA_TREND_365D']

First module-attribute 

First = Literal['FIRST']

Kurtosis module-attribute 

Kurtosis = Literal['KURTOSIS']

Last module-attribute 

Last = Literal['LAST']

Max module-attribute 

Max = Literal['MAX']

Median module-attribute 

Median = Literal['MEDIAN']

Min module-attribute 

Min = Literal['MIN']

Mode module-attribute 

Mode = Literal['MODE']

NumMax module-attribute 

NumMax = Literal['NUM MAX']

NumMin module-attribute 

NumMin = Literal['NUM MIN']

Q1 module-attribute 

Q1 = Literal['Q1']

Q5 module-attribute 

Q5 = Literal['Q5']

Q10 module-attribute 

Q10 = Literal['Q10']

Q25 module-attribute 

Q25 = Literal['Q25']

Q75 module-attribute 

Q75 = Literal['Q75']

Q90 module-attribute 

Q90 = Literal['Q90']

Q95 module-attribute 

Q95 = Literal['Q95']

Q99 module-attribute 

Q99 = Literal['Q99']

Skew module-attribute 

Skew = Literal['SKEW']

Stddev module-attribute 

Stddev = Literal['STDDEV']

Sum module-attribute 

Sum = Literal['SUM']

TimeSinceFirstMaximum module-attribute 

TimeSinceFirstMaximum = Literal['TIME SINCE FIRST MAXIMUM']

TimeSinceFirstMinimum module-attribute 

TimeSinceFirstMinimum = Literal['TIME SINCE FIRST MINIMUM']

TimeSinceLastMaximum module-attribute 

TimeSinceLastMaximum = Literal['TIME SINCE LAST MAXIMUM']

TimeSinceLastMinimum module-attribute 

TimeSinceLastMinimum = Literal['TIME SINCE LAST MINIMUM']

Trend module-attribute 

Trend = Literal['TREND']

Var module-attribute 

Var = Literal['VAR']

VariationCoefficient module-attribute 

VariationCoefficient = Literal['VARIATION COEFFICIENT']

MultirelAggregations module-attribute 

MultirelAggregations = Union[
    Avg,
    Count,
    CountDistinct,
    CountMinusCountDistinct,
    First,
    Last,
    Max,
    Median,
    Min,
    Stddev,
    Sum,
    Var,
]

Union of all Multirel aggregation types.

FastPropAggregations module-attribute 

FastPropAggregations = Union[
    Avg,
    Count,
    CountDistinct,
    CountMinusCountDistinct,
    First,
    Last,
    Max,
    Median,
    Min,
    Stddev,
    Sum,
    Var,
    CountDistinctOverCount,
    EWMA_1s,
    EWMA_1m,
    EWMA_1h,
    EWMA_1d,
    EWMA_7d,
    EWMA_30d,
    EWMA_90d,
    EWMA_365d,
    EWMA_TREND_1s,
    EWMA_TREND_1m,
    EWMA_TREND_1h,
    EWMA_TREND_1d,
    EWMA_TREND_7d,
    EWMA_TREND_30d,
    EWMA_TREND_90d,
    EWMA_TREND_365d,
    Kurtosis,
    Mode,
    NumMax,
    NumMin,
    Q1,
    Q5,
    Q10,
    Q25,
    Q75,
    Q90,
    Q95,
    Q99,
    Skew,
    TimeSinceFirstMaximum,
    TimeSinceFirstMinimum,
    TimeSinceLastMaximum,
    TimeSinceLastMinimum,
    Trend,
    VariationCoefficient,
]

Union of all FastProp aggregation types.

MappingAggregations module-attribute 

MappingAggregations = Union[
    Avg,
    Count,
    CountDistinct,
    CountDistinctOverCount,
    CountMinusCountDistinct,
    Kurtosis,
    Max,
    Median,
    Min,
    Mode,
    NumMax,
    NumMin,
    Q1,
    Q5,
    Q10,
    Q25,
    Q75,
    Q90,
    Q95,
    Q99,
    Skew,
    Stddev,
    Sum,
    Var,
    VariationCoefficient,
]

Union of all Mapping aggregation types.

Aggregations module-attribute 

Aggregations = Union[
    MultirelAggregations,
    FastPropAggregations,
    MappingAggregations,
]

Union of all possible aggregation types.