Package-level declarations
Types
An exception indicating Amazon Fraud Detector does not have the needed permissions. This can occur if you submit a request, such as PutExternalModel, that specifies a role that is not in your account.
The log odds metric details.
The details of the impact of aggregated variables on the prediction score.
The details of the relative importance of the aggregated variables.
The metadata of a list.
The Account Takeover Insights (ATI) model performance metrics data points.
The Account Takeover Insights (ATI) model performance score.
The Account Takeover Insights (ATI) model training metric details.
Provides the error of the batch create variable API.
Provides the error of the batch get variable API.
The batch import job details.
The batch prediction details.
An exception indicating there was a conflict during a delete operation.
The model training data validation metrics.
The summary of the detector version.
The entity type details.
The details of the external (Amazon Sagemaker) model evaluated for generating predictions.
The model version evaluated for generating prediction.
The details of the rule used for evaluating variable values.
The event orchestration status.
Information about the summary of an event prediction.
Information about the summary of an event variable that was evaluated for generating prediction.
Details for the external events data used for model version training.
The Amazon SageMaker model.
The fraud prediction scores from Amazon SageMaker model.
The Amazon SageMaker model.
The message details.
The message details.
A conditional statement for filtering a list of past predictions.
Base class for all service related exceptions thrown by the FraudDetector client
The details of the ingested event.
Data about the stored events.
The start and stop time of the ingested events.
An exception indicating an internal server error.
The label schema.
The log odds metric details.
Model performance metrics data points.
A pre-formed Amazon SageMaker model input you can include if your detector version includes an imported Amazon SageMaker model endpoint with pass-through input configuration.
The Amazon SageMaker model input configuration.
Provides the Amazon Sagemaker model output configuration.
The fraud prediction scores.
The model version.
The details of the model version.
The model version evalutions.
The Online Fraud Insights (OFI) model performance metrics data points.
The Online Fraud Insights (OFI) model performance score.
The Online Fraud Insights (OFI) model training metric details.
The prediction explanations that provide insight into how each event variable impacted the model version's fraud prediction score.
The time period for when the predictions were generated.
An exception indicating the specified resource was not found.
An exception indicating that the attached customer-owned (external) model threw an exception when Amazon Fraud Detector invoked the model.
The details of the rule.
The rule results.
The performance metrics data points for Transaction Fraud Insights (TFI) model.
The Transaction Fraud Insights (TFI) model performance score.
The Transaction Fraud Insights (TFI) model training metric details.
An exception indicating a throttling error.
The training data schema.
The training metric details.
The training metrics details.
The training result details.
The training result details.
Range of area under curve (auc) expected from the model. A range greater than 0.1 indicates higher model uncertainity. A range is the difference between upper and lower bound of auc.
An exception indicating a specified value is not allowed.
A variable in the list of variables for the batch create variable request.
The details of the event variable's impact on the prediction score.
The variable importance metrics details.