compute_linear_regression_coefficients¶

compute_linear_regression_coefficients(x, y)

Description¶

Returns linear regression coefficients from x, y columns.

Compute linear regression of (x, y) and return slope and intercept coefficients so that:

y ~= slope * x + intercept

Examples¶

Call or Deploy compute_linear_regression_coefficients ?

Call compute_linear_regression_coefficients directly

The easiest way to use bigfunctions

compute_linear_regression_coefficients function is deployed in 39 public datasets for all of the 39 BigQuery regions.
It can be called by anyone. Just copy / paste examples below in your BigQuery console. It just works!
(You need to use the dataset in the same region as your datasets otherwise you may have a function not found error)

Public BigFunctions Datasets

Region	Dataset
`eu`	`bigfunctions.eu`
`us`	`bigfunctions.us`
`europe-west1`	`bigfunctions.europe_west1`
`asia-east1`	`bigfunctions.asia_east1`
...	...

Deploy compute_linear_regression_coefficients in your project

Why deploy?

You may prefer to deploy compute_linear_regression_coefficients in your own project to build and manage your own catalog of functions.
This is particularly useful if you want to create private functions (for example calling your internal APIs).
Get started by reading the framework page

Deployment

compute_linear_regression_coefficients function can be deployed with:

pip install bigfunctions
bigfun get compute_linear_regression_coefficients
bigfun deploy compute_linear_regression_coefficients

Example with a generated time serie

EUUSeurope-west1

create temp table sample_data as (

  select
      x,
      2 * x + 1 as y  -- example relationship: y = 2x + 1
  from unnest([1.0, -1.0, 3.0, -3.0, 5.0, -5.0]) as x

);

select bigfunctions.eu.compute_linear_regression_coefficients(x, y)
from sample_data

create temp table sample_data as (

  select
      x,
      2 * x + 1 as y  -- example relationship: y = 2x + 1
  from unnest([1.0, -1.0, 3.0, -3.0, 5.0, -5.0]) as x

);

select bigfunctions.us.compute_linear_regression_coefficients(x, y)
from sample_data

create temp table sample_data as (

  select
      x,
      2 * x + 1 as y  -- example relationship: y = 2x + 1
  from unnest([1.0, -1.0, 3.0, -3.0, 5.0, -5.0]) as x

);

select bigfunctions.europe_west1.compute_linear_regression_coefficients(x, y)
from sample_data

+-----------------------------------------+
| coefficients                            |
+-----------------------------------------+
| struct(2.0 as slope, 1.0 as intercept)
 |
+-----------------------------------------+

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