featurebyte.HistoricalFeatureTable.describe

describe(

size: int=0,

seed: int=1234

) -> DataFrame

Description

Returns descriptive statistics of the historical feature table.

Parameters

• size: int
  default: 0
  Maximum number of rows to sample. If 0, all rows will be used.
  
  
• seed: int
  default: 1234
  Seed to use for random sampling.
  
  

Returns

• DataFrame
  Summary of the table.
  
  

Examples

>>> historical_feature_table = catalog.get_historical_feature_table("historical_feature_table_name")
>>> historical_feature_table.describe()