API.get_model_version_production_data#
- API.get_model_version_production_data(model_version_id: int, start_time: Union[datetime, str, int], end_time: Union[datetime, str, int], rows_count: int = 10000, filters: List[DataFilter] = None, raise_on_status: bool = True) Union[DataFrame, Response]#
Get production data for a model version on a specific window.
- Parameters
- model_version_idint
The model version id.
- 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
- raise_on_statusbool, optional
Whether to raise an exception if the status is not 200.
- Returns
- t.Union[‘pandas’.DataFrame, httpx.Response]
The production data or a plain response if raise_on_status is False.