ModelTrainingDetails

class oci.ai_anomaly_detection.models.ModelTrainingDetails(**kwargs)

Bases: object

Specifies the details of the MSET model during the create call.

Methods

__init__(**kwargs) Initializes a new ModelTrainingDetails object with values from keyword arguments.

Attributes

data_asset_ids [Required] Gets the data_asset_ids of this ModelTrainingDetails.
target_fap Gets the target_fap of this ModelTrainingDetails.
training_fraction Gets the training_fraction of this ModelTrainingDetails.
__init__(**kwargs)

Initializes a new ModelTrainingDetails object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class):

Parameters:
  • target_fap (float) – The value to assign to the target_fap property of this ModelTrainingDetails.
  • training_fraction (float) – The value to assign to the training_fraction property of this ModelTrainingDetails.
  • data_asset_ids (list[str]) – The value to assign to the data_asset_ids property of this ModelTrainingDetails.
data_asset_ids

[Required] Gets the data_asset_ids of this ModelTrainingDetails. The list of OCIDs of the data assets to train the model. The dataAssets have to be in the same project where the ai model would reside.

Returns:The data_asset_ids of this ModelTrainingDetails.
Return type:list[str]
target_fap

Gets the target_fap of this ModelTrainingDetails. A target model accuracy metric user provides as their requirement

Returns:The target_fap of this ModelTrainingDetails.
Return type:float
training_fraction

Gets the training_fraction of this ModelTrainingDetails. Fraction of total data that is used for training the model. The remaining is used for validation of the model.

Returns:The training_fraction of this ModelTrainingDetails.
Return type:float