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TrainingResultV2

Source code in docs_src/capo_frauddetector/types/training_result_v2.py
class TrainingResultV2(TypedDict, closed=True):
    data_validation_metrics: NotRequired[
        "capo_frauddetector.types.data_validation_metrics.DataValidationMetrics"
    ]
    training_metrics_v2: NotRequired[
        "capo_frauddetector.types.training_metrics_v2.TrainingMetricsV2"
    ]
    """<p> The training metric details. </p>"""
    variable_importance_metrics: NotRequired[
        "capo_frauddetector.types.variable_importance_metrics.VariableImportanceMetrics"
    ]
    aggregated_variables_importance_metrics: NotRequired[
        "capo_frauddetector.types.aggregated_variables_importance_metrics.AggregatedVariablesImportanceMetrics"
    ]
    """<p> The variable importance metrics of the aggregated variables. </p> <p>Account Takeover Insights (ATI) model uses event variables from the login data you provide to continuously calculate a set of variables (aggregated variables) based on historical events. For example, your ATI model might calculate the number of times an user has logged in using the same IP address. In this case, event variables used to derive the aggregated variables are <code>IP address</code> and <code>user</code>.</p>"""

aggregated_variables_importance_metrics instance-attribute

aggregated_variables_importance_metrics: NotRequired[
    AggregatedVariablesImportanceMetrics
]

The variable importance metrics of the aggregated variables.

Account Takeover Insights (ATI) model uses event variables from the login data you provide to continuously calculate a set of variables (aggregated variables) based on historical events. For example, your ATI model might calculate the number of times an user has logged in using the same IP address. In this case, event variables used to derive the aggregated variables are IP address and user.

data_validation_metrics instance-attribute

data_validation_metrics: NotRequired[DataValidationMetrics]

training_metrics_v2 instance-attribute

training_metrics_v2: NotRequired[TrainingMetricsV2]

The training metric details.

variable_importance_metrics instance-attribute

variable_importance_metrics: NotRequired[VariableImportanceMetrics]