quantileBFloat16Weighted
Like quantileBFloat16 but takes into account the weight of each sequence member.
Computes an approximate quantile of a sample consisting of bfloat16 numbers. bfloat16 is a floating-point data type with 1 sign bit, 8 exponent bits and 7 fraction bits.
The function converts input values to 32-bit floats and takes the most significant 16 bits. Then it calculates bfloat16 quantile value and converts the result to a 64-bit float by appending zero bits.
The function is a fast quantile estimator with a relative error no more than 0.390625%.
Syntax
Alias: medianBFloat16
Arguments
Parameters
level— Level of quantile. Optional. Possible values are in the range from 0 to 1. Default value: 0.5. Float.
Returned value
- Approximate quantile of the specified level.
Type: Float64.
Example
Input table has an integer and a float columns:
Query to calculate 0.75-quantile (third quartile):
Result:
Note that all floating point values in the example are truncated to 1.0 when converting to bfloat16.
See Also
