From 8ac7e147b76d5044f431378acde0edfaae10d343 Mon Sep 17 00:00:00 2001 From: Alexey Date: Mon, 28 Jun 2021 20:26:57 +0000 Subject: [PATCH] Text changed to match other quantile descriptions --- .../aggregate-functions/reference/quantilebfloat16.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/sql-reference/aggregate-functions/reference/quantilebfloat16.md b/docs/en/sql-reference/aggregate-functions/reference/quantilebfloat16.md index 30dc145ff42..3e3824c3dfb 100644 --- a/docs/en/sql-reference/aggregate-functions/reference/quantilebfloat16.md +++ b/docs/en/sql-reference/aggregate-functions/reference/quantilebfloat16.md @@ -4,7 +4,7 @@ toc_priority: 209 # quantileBFloat16 {#quantilebfloat16} -Calculates a [quantile](https://en.wikipedia.org/wiki/Quantile#Estimating_quantiles_from_a_sample) of a sample consisting of [bfloat16](https://en.wikipedia.org/wiki/Bfloat16_floating-point_format) numbers. bfloat16 is a floating-point data type with 1 sign bit, 8 exponent bits and 7 fraction bits. +Computes an approximate [quantile](https://en.wikipedia.org/wiki/Quantile#Estimating_quantiles_from_a_sample) of a sample consisting of [bfloat16](https://en.wikipedia.org/wiki/Bfloat16_floating-point_format) 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%.