ModelTrainingResults¶
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class
oci.ai_anomaly_detection.models.
ModelTrainingResults
(**kwargs)¶ Bases:
object
Specifies the details for an Anomaly Detection model trained with MSET.
Methods
__init__
(**kwargs)Initializes a new ModelTrainingResults object with values from keyword arguments. Attributes
fap
[Required] Gets the fap of this ModelTrainingResults. is_training_goal_achieved
Gets the is_training_goal_achieved of this ModelTrainingResults. multivariate_fap
Gets the multivariate_fap of this ModelTrainingResults. row_reduction_details
Gets the row_reduction_details of this ModelTrainingResults. signal_details
Gets the signal_details of this ModelTrainingResults. warning
Gets the warning of this ModelTrainingResults. -
__init__
(**kwargs)¶ Initializes a new ModelTrainingResults object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class):
Parameters: - fap (float) – The value to assign to the fap property of this ModelTrainingResults.
- multivariate_fap (float) – The value to assign to the multivariate_fap property of this ModelTrainingResults.
- is_training_goal_achieved (bool) – The value to assign to the is_training_goal_achieved property of this ModelTrainingResults.
- warning (str) – The value to assign to the warning property of this ModelTrainingResults.
- signal_details (list[oci.ai_anomaly_detection.models.PerSignalDetails]) – The value to assign to the signal_details property of this ModelTrainingResults.
- row_reduction_details (oci.ai_anomaly_detection.models.RowReductionDetails) – The value to assign to the row_reduction_details property of this ModelTrainingResults.
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fap
¶ [Required] Gets the fap of this ModelTrainingResults. The final-achieved model accuracy metric on individual value level
Returns: The fap of this ModelTrainingResults. Return type: float
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is_training_goal_achieved
¶ Gets the is_training_goal_achieved of this ModelTrainingResults. A boolean value to indicate if train goal/targetFap is achieved for trained model
Returns: The is_training_goal_achieved of this ModelTrainingResults. Return type: bool
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multivariate_fap
¶ Gets the multivariate_fap of this ModelTrainingResults. The model accuracy metric on timestamp level.
Returns: The multivariate_fap of this ModelTrainingResults. Return type: float
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row_reduction_details
¶ Gets the row_reduction_details of this ModelTrainingResults.
Returns: The row_reduction_details of this ModelTrainingResults. Return type: oci.ai_anomaly_detection.models.RowReductionDetails
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signal_details
¶ Gets the signal_details of this ModelTrainingResults. The list of signal details.
Returns: The signal_details of this ModelTrainingResults. Return type: list[oci.ai_anomaly_detection.models.PerSignalDetails]
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warning
¶ Gets the warning of this ModelTrainingResults. A warning message to explain the reason when targetFap cannot be achieved for trained model
Returns: The warning of this ModelTrainingResults. Return type: str
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