DeepchecksModelVersionClient.log_batch#
- DeepchecksModelVersionClient.log_batch(sample_ids: ndarray, data: DataFrame, predictions: Union[Series, ndarray, List[Any]], prediction_probas: Optional[Union[ndarray, Series, List[Any]]] = None, timestamps: Optional[Union[ndarray, Series, List[int]]] = None, samples_per_send: int = 10000)#
Log batch of samples.
- Parameters
- sample_idsnumpy.ndarray
set of sample ids
- datapandas.DataFrame
set of features and optionally of non-features.
- predictionsUnion[pd.Series, np.ndarray, t.List]
set of predictions
- prediction_probasOptional[numpy.ndarray] , default None
set of predictions probabilities
- timestampsUnion[numpy.ndarray, pandas.Series, List[int], None] , default None
set of numerical timestamps that represent second-based epoch time. If not provided then current time will be used.
- samples_per_sendint , default 10_000
how many samples to send by one request