enums
            ChunkPeriod
  
      module-attribute
  
ChunkPeriod = Literal['YEARLY', 'QUARTERLY', 'MONTHLY', 'WEEKLY', 'DAILY', 'HOURLY']
Time periods for chunking supported by NannyML Cloud.
            ColumnType
  
      module-attribute
  
ColumnType = Literal['TARGET', 'PREDICTION_SCORE', 'PREDICTION', 'TIMESTAMP', 'CATEGORICAL_FEATURE', 'CONTINUOUS_FEATURE', 'IGNORED', 'IDENTIFIER', 'METRIC_NAME', 'GROUP_NAME', 'SUCCESS_COUNT', 'FAIL_COUNT']
Schema column types defined by NannyML Cloud.
            DataSourceEventType
  
      module-attribute
  
DataSourceEventType = Literal['CREATED', 'DATA_ADDED', 'DATA_REMOVED', 'DATA_UPDATED']
Events recorded for model data sources.
            FeatureType
  
      module-attribute
  
FeatureType = Literal['CONTINUOUS', 'CATEGORY']
Feature types supported by NannyML Cloud.
            PerformanceMetric
  
      module-attribute
  
PerformanceMetric = Literal['ROC_AUC', 'F1', 'PRECISION', 'RECALL', 'SPECIFICITY', 'ACCURACY', 'CONFUSION_MATRIX', 'BUSINESS_VALUE', 'MAE', 'MAPE', 'MSE', 'RMSE', 'MSLE', 'RMSLE']
Performance metrics supported by NannyML Cloud.
            ProblemType
  
      module-attribute
  
ProblemType = Literal['BINARY_CLASSIFICATION', 'MULTICLASS_CLASSIFICATION', 'REGRESSION']
Problem types supported by NannyML Cloud.
            ProductType
  
      module-attribute
  
ProductType = Literal['MONITORING', 'EVALUATION', 'EXPERIMENT']
Product modules of NannyML Cloud
            RunState
  
      module-attribute
  
RunState = Literal['SCHEDULED', 'RUNNING', 'CANCELLING', 'COMPLETED']
States a NannyML run can be in.
- SCHEDULED: The run is scheduled to start at a later time.
- RUNNING: The run is currently active.
- CANCELLING: The run is currently being cancelled.
- COMPLETED: The run has completed (successfully or unsuccessfully).
            S3AuthenticationMode
  
      module-attribute
  
S3AuthenticationMode = Literal['ANONYMOUS', 'INTEGRATED', 'ACCESS_KEY']
Authentication modes for S3 access supported by NannyML Cloud.
- ANONYMOUS: No authentication required.
- INTEGRATED: Use the service account permissions the NannyML Cloud server has to access S3.
- ACCESS_KEY: Provide access key ID and secret to access S3.
            ThresholdType
  
      module-attribute
  
ThresholdType = Literal['CONSTANT', 'STANDARD_DEVIATION']
Threshold types supported by NannyML Cloud.