ReductionAggregation (cudfjni 22.02.0 API)

java.lang.Object
- ai.rapids.cudf.ReductionAggregation

public final class ReductionAggregation
extends Object

An aggregation that can be used for a reduce.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`static ReductionAggregation`	`all()` All reduction.
`static ReductionAggregation`	`any()` Any reduction.
`boolean`	`equals(Object other)`
`int`	`hashCode()`
`static ReductionAggregation`	`max()` Max Aggregation
`static ReductionAggregation`	`mean()` Arithmetic mean reduction.
`static ReductionAggregation`	`median()` Median reduction.
`static ReductionAggregation`	`min()` Min Aggregation
`static ReductionAggregation`	`nth(int offset)` Get the nth, non-null, element in a group.
`static ReductionAggregation`	`nth(int offset, NullPolicy nullPolicy)` Get the nth element in a group.
`static ReductionAggregation`	`nunique()` Number of unique, non-null, elements.
`static ReductionAggregation`	`nunique(NullPolicy nullPolicy)` Number of unique elements.
`static ReductionAggregation`	`product()` Product Aggregation.
`static ReductionAggregation`	`quantile(double... quantiles)` Aggregate to compute the specified quantiles.
`static ReductionAggregation`	`quantile(QuantileMethod method, double... quantiles)` Aggregate to compute various quantiles.
`static ReductionAggregation`	`standardDeviation()` Standard deviation aggregation with 1 as the delta degrees of freedom.
`static ReductionAggregation`	`standardDeviation(int ddof)` Standard deviation aggregation.
`static ReductionAggregation`	`sum()` Sum Aggregation
`static ReductionAggregation`	`sumOfSquares()` Sum of squares reduction.
`static ReductionAggregation`	`variance()` Variance aggregation with 1 as the delta degrees of freedom.
`static ReductionAggregation`	`variance(int ddof)` Variance aggregation.

Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

- Method Detail
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - equals
```
public boolean equals(Object other)
```
    Overrides:
    
    equals in class Object
  - sum
```
public static ReductionAggregation sum()
```
    Sum Aggregation
  - product
```
public static ReductionAggregation product()
```
    Product Aggregation.
  - min
```
public static ReductionAggregation min()
```
    Min Aggregation
  - max
```
public static ReductionAggregation max()
```
    Max Aggregation
  - any
```
public static ReductionAggregation any()
```
    Any reduction. Produces a true or 1, depending on the output type, if any of the elements in the range are true or non-zero, otherwise produces a false or 0. Null values are skipped.
  - all
```
public static ReductionAggregation all()
```
    All reduction. Produces true or 1, depending on the output type, if all of the elements in the range are true or non-zero, otherwise produces a false or 0. Null values are skipped.
  - sumOfSquares
```
public static ReductionAggregation sumOfSquares()
```
    Sum of squares reduction.
  - mean
```
public static ReductionAggregation mean()
```
    Arithmetic mean reduction.
  - variance
```
public static ReductionAggregation variance()
```
    Variance aggregation with 1 as the delta degrees of freedom.
  - variance
```
public static ReductionAggregation variance(int ddof)
```
    Variance aggregation.
    
    Parameters:
    
    ddof - delta degrees of freedom. The divisor used in calculation of variance is N - ddof, where N is the population size.
  - standardDeviation
```
public static ReductionAggregation standardDeviation()
```
    Standard deviation aggregation with 1 as the delta degrees of freedom.
  - standardDeviation
```
public static ReductionAggregation standardDeviation(int ddof)
```
    Standard deviation aggregation.
    
    Parameters:
    
    ddof - delta degrees of freedom. The divisor used in calculation of std is N - ddof, where N is the population size.
  - median
```
public static ReductionAggregation median()
```
    Median reduction.
  - quantile
```
public static ReductionAggregation quantile(double... quantiles)
```
    Aggregate to compute the specified quantiles. Uses linear interpolation by default.
  - quantile
```
public static ReductionAggregation quantile(QuantileMethod method,
                                            double... quantiles)
```
    Aggregate to compute various quantiles.
  - nunique
```
public static ReductionAggregation nunique()
```
    Number of unique, non-null, elements.
  - nunique
```
public static ReductionAggregation nunique(NullPolicy nullPolicy)
```
    Number of unique elements.
    
    Parameters:
    
    nullPolicy - INCLUDE if nulls should be counted else EXCLUDE. If nulls are counted they compare as equal so multiple null values in a range would all only increase the count by 1.
  - nth
```
public static ReductionAggregation nth(int offset)
```
    Get the nth, non-null, element in a group.
    
    Parameters:
    
    offset - the offset to look at. Negative numbers go from the end of the group. Any value outside of the group range results in a null.
  - nth
```
public static ReductionAggregation nth(int offset,
                                       NullPolicy nullPolicy)
```
    Get the nth element in a group.
    
    Parameters:
    
    offset - the offset to look at. Negative numbers go from the end of the group. Any value outside of the group range results in a null.
    
    nullPolicy - INCLUDE if nulls should be included in the aggregation or EXCLUDE if they should be skipped.

Class ReductionAggregation

Method Summary

Methods inherited from class java.lang.Object

Method Detail

hashCode

equals

sum

product

min

max

any

all

sumOfSquares

mean

variance

variance

standardDeviation

standardDeviation

median

quantile

quantile

nunique

nunique

nth

nth