featurebyte.BatchRequestTable.sample

sample(

size: int=10,

seed: int=1234

) -> DataFrame

Description

Returns a DataFrame that contains a random selection of rows of the batch request table based on a specified size and seed for sampling control.

Parameters

• size: int
  default: 10
  Maximum number of rows to sample, with an upper bound of 10,000 rows.
  
  
• seed: int
  default: 1234
  Seed to use for random sampling.
  
  

Returns

• DataFrame
  Sampled rows from the table.
  
  

Examples

>>> batch_request_table = catalog.get_batch_request_table(
...     "my_batch_request_table"
... )

>>> batch_request_table.sample()