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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()