DeepchecksModelVersionClient.get_production_data#

DeepchecksModelVersionClient.get_production_data(start_time: Union[datetime, str, int], end_time: Union[datetime, str, int], rows_count: int = 10000, filters: List[DataFilter] = None) DataFrame#

Get the production data on a specific window.

Parameters
start_timet.Union[datetime, str, int]
The start time timestamp.
  • int: Unix timestamp

  • str: timestamp in ISO8601 format

  • datetime: If no timezone info is provided on the datetime assumes local timezone.

end_timet.Union[datetime, str, int]
The end time timestamp.
  • int: Unix timestamp

  • str: timestamp in ISO8601 format

  • datetime: If no timezone info is provided on the datetime assumes local timezone.

rows_countint, optional

The number of rows to return (random sampling will be used).

filterst.List[DataFilter], optional

Data filters to apply. Used in order to received a segment of the data based on selected properties. Required format for filters and possible operators are detailed under the respected objects which can be found at: from deepchecks_client import DataFilter, OperatorsEnum

Returns
‘pandas’.DataFrame

The production data.