Exceptions
- exception datarobot.errors.AppPlatformError
- Raised by
Client.request()
for requests that: Return a non-200 HTTP response, or
Connection refused/timeout or
Response timeout or
Malformed request
Have a malformed/missing header in the response.
- Raised by
- exception datarobot.errors.ServerError
For 500-level responses from the server
- exception datarobot.errors.ClientError
For 400-level responses from the server has json parameter for additional information to be stored about error if need be
- exception datarobot.errors.InputNotUnderstoodError
Raised if a method is called in a way that cannot be understood
- exception datarobot.errors.InvalidUsageError
Raised when methods are called with invalid or incompatible arguments
- exception datarobot.errors.AllRetriesFailedError
Raised when the retry manager does not successfully make a request
- exception datarobot.errors.InvalidModelCategoryError
Raised when method specific for model category was called from wrong model
- exception datarobot.errors.AsyncTimeoutError
Raised when an asynchronous operation did not successfully get resolved within a specified time limit
- exception datarobot.errors.AsyncFailureError
Raised when querying an asynchronous status resulted in an exceptional status code (not 200 and not 303)
- exception datarobot.errors.ProjectAsyncFailureError
When an AsyncFailureError occurs during project creation or finalizing the project settings for modeling. This exception will have the attributes
status_code
indicating the unexpected status code from the server, andasync_location
indicating which asynchronous status object was being polled when the failure happened.
- exception datarobot.errors.AsyncProcessUnsuccessfulError
Raised when querying an asynchronous status showed that async process was not successful
- exception datarobot.errors.AsyncModelCreationError
Raised when querying an asynchronous status showed that model creation was not successful
- exception datarobot.errors.AsyncPredictionsGenerationError
Raised when querying an asynchronous status showed that predictions generation was not successful
- exception datarobot.errors.PendingJobFinished
Raised when the server responds with a 303 for the pending creation of a resource.
- exception datarobot.errors.JobNotFinished
Raised when execution was trying to get a finished resource from a pending job, but the job is not finished
- exception datarobot.errors.DuplicateFeaturesError
Raised when trying to create featurelist with duplicating features
- exception datarobot.errors.TrainingDataAssignmentError
Raised when the training data assignment for a custom model version fails
- exception datarobot.errors.DataRobotDeprecationWarning
Raised when using deprecated functions or using functions in a deprecated way
See also
- exception datarobot.errors.IllegalFileName
Raised when trying to use a filename we can’t handle.
- exception datarobot.errors.JobAlreadyRequested
Raised when the requested model has already been requested.
- exception datarobot.errors.ContentRetrievalTerminatedError
Raised when due to content retrieval error process of data retrieval was terminated.
- exception datarobot.errors.UpdateAttributesError
- exception datarobot.errors.InvalidRatingTableWarning
Raised when using interacting with rating tables that failed validation
- exception datarobot.errors.PartitioningMethodWarning
Raised when interacting with project methods related to partition classes, i.e. Project.set_partitioning_method() or Project.set_datetime_partitioning().
- exception datarobot.errors.NonPersistableProjectOptionWarning
Raised when setting project options via Project.set_options if any of the options passed are not supported for POST requests to /api/v2/project/{project_id}/options/. All options that fall under this category can be found here:
datarobot.enums.NonPersistableProjectOptions()
.
- exception datarobot.errors.OverwritingProjectOptionWarning
Raised when setting project options via Project.set_options if any of the options passed have already been set to a value in Project.advanced_options, or if a different value is already stored in the endpoint /api/v2/project/{project_id}/options/. Precedence is given to the new value you passed in.
- exception datarobot.errors.NoRedundancyImpactAvailable
Raised when retrieving old feature impact data
Redundancy detection was added in v2.13 of the API, and some projects, e.g. multiclass projects do not support redundancy detection. This warning is raised to make clear that redundancy detection is unavailable.
- exception datarobot.errors.ParentModelInsightFallbackWarning
Raised when insights are unavailable for a model and insight retrieval falls back to retrieving insights for a model’s parent model
- exception datarobot.errors.ProjectHasNoRecommendedModelWarning
Raised when a project has no recommended model.
- exception datarobot.errors.PlatformDeprecationWarning
Raised when Deprecation header is returned in the API, for example a project may be deprecated as part of the 2022 Python 3 platform migration.
See also
- exception datarobot.errors.MultipleUseCasesNotAllowed
Raised when a method decorated with add_to_use_case(allow_multiple=True) calls a method decorated with add_to_use_case(allow_multiple=False) with multiple UseCases passed