abacusai.prediction_metric_version
Module Contents
Classes
A Prediction Metric version for a Prediction Metric job description. |
- class abacusai.prediction_metric_version.PredictionMetricVersion(client, createdAt=None, error=None, featureGroupVersion=None, predictionMetricCompletedAt=None, predictionMetricConfig=None, predictionMetricId=None, predictionMetricStartedAt=None, predictionMetricVersion=None, status=None)
Bases:
abacusai.return_class.AbstractApiClass
A Prediction Metric version for a Prediction Metric job description.
- Parameters
client (ApiClient) – An authenticated API Client instance
createdAt (str) – Date and time when this preddiction metric version was created.
error (str) – Relevant error if the status of this job version is FAILED.
featureGroupVersion (str) – The feature group version used as input to this prediction metric.
predictionMetricCompletedAt (str) – The time and date computatations were completed for this job version.
predictionMetricConfig (json) – Specification for prediction metric used to run this job.
predictionMetricId (str) – The unique identifier of the prediction metric this is a version of.
predictionMetricStartedAt (str) – The time and date computations were started for this job version.
predictionMetricVersion (str) – The unique identifier of this prediction metric version.
status (str) – The current status of the computations for this job version.
- __repr__(self)
Return repr(self).
- to_dict(self)
Get a dict representation of the parameters in this class
- Returns
The dict value representation of the class parameters
- Return type
- wait_for_prediction_metric_version(self, timeout=1200)
A waiting call until the prediction metric version is ready.
- Parameters
timeout (int, optional) – The waiting time given to the call to finish, if it doesn’t finish by the allocated time, the call is said to be timed out. Default value given is 1200 milliseconds.