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prophet_table

Call or Deploy prophet_table ?

✅ You can call this prophet_table bigfunction directly from your Google Cloud Project (no install required).

  • This prophet_table function is deployed in bigfunctions GCP project in 39 datasets for all of the 39 BigQuery regions. You need to use the dataset in the same region as your datasets (otherwise you may have a function not found error).
  • Function is public, so it can be called by anyone. Just copy / paste examples below in your BigQuery console. It just works!
  • You may prefer to deploy the BigFunction in your own project if you want 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). Discover the framework

Public BigFunctions Datasets:

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

Description

Signature

prophet_table(records, periods, kwargs)

Description

Return Time Series Forecast as table using prophet python library.

Parameters of this function are passed as is to prophet python function and python function result is returned as is.

(Inspired from this Felipe Hoffa medium's post)

Examples

1. Using a table with columns named ds and y for date and value respectively

with sample_data as (

  select date('2022-01-01') as ds, 1 as y,
  union all
  select date('2022-01-02') as ds, 2 as y,

)


select * from bigfunctions.eu.prophet_table(
  to_json((
    select array_agg(sample_data)
    from sample_data
  ))
  , 3, null)
with sample_data as (

  select date('2022-01-01') as ds, 1 as y,
  union all
  select date('2022-01-02') as ds, 2 as y,

)


select * from bigfunctions.us.prophet_table(
  to_json((
    select array_agg(sample_data)
    from sample_data
  ))
  , 3, null)
with sample_data as (

  select date('2022-01-01') as ds, 1 as y,
  union all
  select date('2022-01-02') as ds, 2 as y,

)


select * from bigfunctions.europe_west1.prophet_table(
  to_json((
    select array_agg(sample_data)
    from sample_data
  ))
  , 3, null)

| -------------------------------------|
|    date    | yhat | yhat_lower | ... |
| -------------------------------------|
| 2022-01-03 |  3   |     3      | ... |
| 2022-01-04 |  4   |     4      | ... |
| 2022-01-05 |  5   |     5      | ... |
| -------------------------------------|


2. Using a table with columns to rename to ds and y

with sample_data as (

  select date('2022-01-01') as date, 1 as value,
  union all
  select date('2022-01-02') as date, 2 as value,

)


select * from bigfunctions.eu.prophet_table(
  to_json((
    select array_agg(struct(date as ds, value as y))
    from sample_data
  ))
  , 3, null)
with sample_data as (

  select date('2022-01-01') as date, 1 as value,
  union all
  select date('2022-01-02') as date, 2 as value,

)


select * from bigfunctions.us.prophet_table(
  to_json((
    select array_agg(struct(date as ds, value as y))
    from sample_data
  ))
  , 3, null)
with sample_data as (

  select date('2022-01-01') as date, 1 as value,
  union all
  select date('2022-01-02') as date, 2 as value,

)


select * from bigfunctions.europe_west1.prophet_table(
  to_json((
    select array_agg(struct(date as ds, value as y))
    from sample_data
  ))
  , 3, null)

| -------------------------------------|
|    date    | yhat | yhat_lower | ... |
| -------------------------------------|
| 2022-01-03 |  3   |     3      | ... |
| 2022-01-04 |  4   |     4      | ... |
| 2022-01-05 |  5   |     5      | ... |
| -------------------------------------|


Need help using prophet_table?

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Found a bug using prophet_table?

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  • report a bug so that it can be improved.
  • or open the discussion with the community on Slack.

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