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Problem: outages of EnvironmentLogger result in no data being saved on the datastore for dates where 3D data was collected. Transformation of this data would still be necessary, but a predictive model based on EnvironmentLogger parameters could not be reliably used.
Course of action: for datasets that lack EnvironmentLogger data, allow the operator to ignore its absence and transform each measurement independently. This would be labor-intensive but would allow transformation of datasets that are not appropriate for the predictive model. The output transformation would need some flag indicating that it lacks EnvironmentLogger data, or would need to be handled manually through the next step of the pipelines.
The text was updated successfully, but these errors were encountered:
Problem: outages of EnvironmentLogger result in no data being saved on the datastore for dates where 3D data was collected. Transformation of this data would still be necessary, but a predictive model based on EnvironmentLogger parameters could not be reliably used.
Course of action: for datasets that lack EnvironmentLogger data, allow the operator to ignore its absence and transform each measurement independently. This would be labor-intensive but would allow transformation of datasets that are not appropriate for the predictive model. The output transformation would need some flag indicating that it lacks EnvironmentLogger data, or would need to be handled manually through the next step of the pipelines.
The text was updated successfully, but these errors were encountered: