/** * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. * SPDX-License-Identifier: Apache-2.0. */ #pragma once #include #include #include #include #include #include #include #include namespace Aws { namespace FraudDetector { namespace Model { /** */ class GetEventPredictionRequest : public FraudDetectorRequest { public: AWS_FRAUDDETECTOR_API GetEventPredictionRequest(); // Service request name is the Operation name which will send this request out, // each operation should has unique request name, so that we can get operation's name from this request. // Note: this is not true for response, multiple operations may have the same response name, // so we can not get operation's name from response. inline virtual const char* GetServiceRequestName() const override { return "GetEventPrediction"; } AWS_FRAUDDETECTOR_API Aws::String SerializePayload() const override; AWS_FRAUDDETECTOR_API Aws::Http::HeaderValueCollection GetRequestSpecificHeaders() const override; /** *

The detector ID.

*/ inline const Aws::String& GetDetectorId() const{ return m_detectorId; } /** *

The detector ID.

*/ inline bool DetectorIdHasBeenSet() const { return m_detectorIdHasBeenSet; } /** *

The detector ID.

*/ inline void SetDetectorId(const Aws::String& value) { m_detectorIdHasBeenSet = true; m_detectorId = value; } /** *

The detector ID.

*/ inline void SetDetectorId(Aws::String&& value) { m_detectorIdHasBeenSet = true; m_detectorId = std::move(value); } /** *

The detector ID.

*/ inline void SetDetectorId(const char* value) { m_detectorIdHasBeenSet = true; m_detectorId.assign(value); } /** *

The detector ID.

*/ inline GetEventPredictionRequest& WithDetectorId(const Aws::String& value) { SetDetectorId(value); return *this;} /** *

The detector ID.

*/ inline GetEventPredictionRequest& WithDetectorId(Aws::String&& value) { SetDetectorId(std::move(value)); return *this;} /** *

The detector ID.

*/ inline GetEventPredictionRequest& WithDetectorId(const char* value) { SetDetectorId(value); return *this;} /** *

The detector version ID.

*/ inline const Aws::String& GetDetectorVersionId() const{ return m_detectorVersionId; } /** *

The detector version ID.

*/ inline bool DetectorVersionIdHasBeenSet() const { return m_detectorVersionIdHasBeenSet; } /** *

The detector version ID.

*/ inline void SetDetectorVersionId(const Aws::String& value) { m_detectorVersionIdHasBeenSet = true; m_detectorVersionId = value; } /** *

The detector version ID.

*/ inline void SetDetectorVersionId(Aws::String&& value) { m_detectorVersionIdHasBeenSet = true; m_detectorVersionId = std::move(value); } /** *

The detector version ID.

*/ inline void SetDetectorVersionId(const char* value) { m_detectorVersionIdHasBeenSet = true; m_detectorVersionId.assign(value); } /** *

The detector version ID.

*/ inline GetEventPredictionRequest& WithDetectorVersionId(const Aws::String& value) { SetDetectorVersionId(value); return *this;} /** *

The detector version ID.

*/ inline GetEventPredictionRequest& WithDetectorVersionId(Aws::String&& value) { SetDetectorVersionId(std::move(value)); return *this;} /** *

The detector version ID.

*/ inline GetEventPredictionRequest& WithDetectorVersionId(const char* value) { SetDetectorVersionId(value); return *this;} /** *

The unique ID used to identify the event.

*/ inline const Aws::String& GetEventId() const{ return m_eventId; } /** *

The unique ID used to identify the event.

*/ inline bool EventIdHasBeenSet() const { return m_eventIdHasBeenSet; } /** *

The unique ID used to identify the event.

*/ inline void SetEventId(const Aws::String& value) { m_eventIdHasBeenSet = true; m_eventId = value; } /** *

The unique ID used to identify the event.

*/ inline void SetEventId(Aws::String&& value) { m_eventIdHasBeenSet = true; m_eventId = std::move(value); } /** *

The unique ID used to identify the event.

*/ inline void SetEventId(const char* value) { m_eventIdHasBeenSet = true; m_eventId.assign(value); } /** *

The unique ID used to identify the event.

*/ inline GetEventPredictionRequest& WithEventId(const Aws::String& value) { SetEventId(value); return *this;} /** *

The unique ID used to identify the event.

*/ inline GetEventPredictionRequest& WithEventId(Aws::String&& value) { SetEventId(std::move(value)); return *this;} /** *

The unique ID used to identify the event.

*/ inline GetEventPredictionRequest& WithEventId(const char* value) { SetEventId(value); return *this;} /** *

The event type associated with the detector specified for the prediction.

*/ inline const Aws::String& GetEventTypeName() const{ return m_eventTypeName; } /** *

The event type associated with the detector specified for the prediction.

*/ inline bool EventTypeNameHasBeenSet() const { return m_eventTypeNameHasBeenSet; } /** *

The event type associated with the detector specified for the prediction.

*/ inline void SetEventTypeName(const Aws::String& value) { m_eventTypeNameHasBeenSet = true; m_eventTypeName = value; } /** *

The event type associated with the detector specified for the prediction.

*/ inline void SetEventTypeName(Aws::String&& value) { m_eventTypeNameHasBeenSet = true; m_eventTypeName = std::move(value); } /** *

The event type associated with the detector specified for the prediction.

*/ inline void SetEventTypeName(const char* value) { m_eventTypeNameHasBeenSet = true; m_eventTypeName.assign(value); } /** *

The event type associated with the detector specified for the prediction.

*/ inline GetEventPredictionRequest& WithEventTypeName(const Aws::String& value) { SetEventTypeName(value); return *this;} /** *

The event type associated with the detector specified for the prediction.

*/ inline GetEventPredictionRequest& WithEventTypeName(Aws::String&& value) { SetEventTypeName(std::move(value)); return *this;} /** *

The event type associated with the detector specified for the prediction.

*/ inline GetEventPredictionRequest& WithEventTypeName(const char* value) { SetEventTypeName(value); return *this;} /** *

The entity type (associated with the detector's event type) and specific * entity ID representing who performed the event. If an entity id is not * available, use "UNKNOWN."

*/ inline const Aws::Vector& GetEntities() const{ return m_entities; } /** *

The entity type (associated with the detector's event type) and specific * entity ID representing who performed the event. If an entity id is not * available, use "UNKNOWN."

*/ inline bool EntitiesHasBeenSet() const { return m_entitiesHasBeenSet; } /** *

The entity type (associated with the detector's event type) and specific * entity ID representing who performed the event. If an entity id is not * available, use "UNKNOWN."

*/ inline void SetEntities(const Aws::Vector& value) { m_entitiesHasBeenSet = true; m_entities = value; } /** *

The entity type (associated with the detector's event type) and specific * entity ID representing who performed the event. If an entity id is not * available, use "UNKNOWN."

*/ inline void SetEntities(Aws::Vector&& value) { m_entitiesHasBeenSet = true; m_entities = std::move(value); } /** *

The entity type (associated with the detector's event type) and specific * entity ID representing who performed the event. If an entity id is not * available, use "UNKNOWN."

*/ inline GetEventPredictionRequest& WithEntities(const Aws::Vector& value) { SetEntities(value); return *this;} /** *

The entity type (associated with the detector's event type) and specific * entity ID representing who performed the event. If an entity id is not * available, use "UNKNOWN."

*/ inline GetEventPredictionRequest& WithEntities(Aws::Vector&& value) { SetEntities(std::move(value)); return *this;} /** *

The entity type (associated with the detector's event type) and specific * entity ID representing who performed the event. If an entity id is not * available, use "UNKNOWN."

*/ inline GetEventPredictionRequest& AddEntities(const Entity& value) { m_entitiesHasBeenSet = true; m_entities.push_back(value); return *this; } /** *

The entity type (associated with the detector's event type) and specific * entity ID representing who performed the event. If an entity id is not * available, use "UNKNOWN."

*/ inline GetEventPredictionRequest& AddEntities(Entity&& value) { m_entitiesHasBeenSet = true; m_entities.push_back(std::move(value)); return *this; } /** *

Timestamp that defines when the event under evaluation occurred. The * timestamp must be specified using ISO 8601 standard in UTC.

*/ inline const Aws::String& GetEventTimestamp() const{ return m_eventTimestamp; } /** *

Timestamp that defines when the event under evaluation occurred. The * timestamp must be specified using ISO 8601 standard in UTC.

*/ inline bool EventTimestampHasBeenSet() const { return m_eventTimestampHasBeenSet; } /** *

Timestamp that defines when the event under evaluation occurred. The * timestamp must be specified using ISO 8601 standard in UTC.

*/ inline void SetEventTimestamp(const Aws::String& value) { m_eventTimestampHasBeenSet = true; m_eventTimestamp = value; } /** *

Timestamp that defines when the event under evaluation occurred. The * timestamp must be specified using ISO 8601 standard in UTC.

*/ inline void SetEventTimestamp(Aws::String&& value) { m_eventTimestampHasBeenSet = true; m_eventTimestamp = std::move(value); } /** *

Timestamp that defines when the event under evaluation occurred. The * timestamp must be specified using ISO 8601 standard in UTC.

*/ inline void SetEventTimestamp(const char* value) { m_eventTimestampHasBeenSet = true; m_eventTimestamp.assign(value); } /** *

Timestamp that defines when the event under evaluation occurred. The * timestamp must be specified using ISO 8601 standard in UTC.

*/ inline GetEventPredictionRequest& WithEventTimestamp(const Aws::String& value) { SetEventTimestamp(value); return *this;} /** *

Timestamp that defines when the event under evaluation occurred. The * timestamp must be specified using ISO 8601 standard in UTC.

*/ inline GetEventPredictionRequest& WithEventTimestamp(Aws::String&& value) { SetEventTimestamp(std::move(value)); return *this;} /** *

Timestamp that defines when the event under evaluation occurred. The * timestamp must be specified using ISO 8601 standard in UTC.

*/ inline GetEventPredictionRequest& WithEventTimestamp(const char* value) { SetEventTimestamp(value); return *this;} /** *

Names of the event type's variables you defined in Amazon Fraud Detector to * represent data elements and their corresponding values for the event you are * sending for evaluation.

You must provide at least one * eventVariable

To ensure most accurate fraud prediction and * to simplify your data preparation, Amazon Fraud Detector will replace all * missing variables or values as follows:

For Amazon Fraud Detector * trained models:

If a null value is provided explicitly for a * variable or if a variable is missing, model will replace the null value or the * missing variable (no variable name in the eventVariables map) with calculated * default mean/medians for numeric variables and with special values for * categorical variables.

For imported SageMaker models:

If * a null value is provided explicitly for a variable, the model and rules will use * “null” as the value. If a variable is not provided (no variable name in the * eventVariables map), model and rules will use the default value that is provided * for the variable.

*/ inline const Aws::Map& GetEventVariables() const{ return m_eventVariables; } /** *

Names of the event type's variables you defined in Amazon Fraud Detector to * represent data elements and their corresponding values for the event you are * sending for evaluation.

You must provide at least one * eventVariable

To ensure most accurate fraud prediction and * to simplify your data preparation, Amazon Fraud Detector will replace all * missing variables or values as follows:

For Amazon Fraud Detector * trained models:

If a null value is provided explicitly for a * variable or if a variable is missing, model will replace the null value or the * missing variable (no variable name in the eventVariables map) with calculated * default mean/medians for numeric variables and with special values for * categorical variables.

For imported SageMaker models:

If * a null value is provided explicitly for a variable, the model and rules will use * “null” as the value. If a variable is not provided (no variable name in the * eventVariables map), model and rules will use the default value that is provided * for the variable.

*/ inline bool EventVariablesHasBeenSet() const { return m_eventVariablesHasBeenSet; } /** *

Names of the event type's variables you defined in Amazon Fraud Detector to * represent data elements and their corresponding values for the event you are * sending for evaluation.

You must provide at least one * eventVariable

To ensure most accurate fraud prediction and * to simplify your data preparation, Amazon Fraud Detector will replace all * missing variables or values as follows:

For Amazon Fraud Detector * trained models:

If a null value is provided explicitly for a * variable or if a variable is missing, model will replace the null value or the * missing variable (no variable name in the eventVariables map) with calculated * default mean/medians for numeric variables and with special values for * categorical variables.

For imported SageMaker models:

If * a null value is provided explicitly for a variable, the model and rules will use * “null” as the value. If a variable is not provided (no variable name in the * eventVariables map), model and rules will use the default value that is provided * for the variable.

*/ inline void SetEventVariables(const Aws::Map& value) { m_eventVariablesHasBeenSet = true; m_eventVariables = value; } /** *

Names of the event type's variables you defined in Amazon Fraud Detector to * represent data elements and their corresponding values for the event you are * sending for evaluation.

You must provide at least one * eventVariable

To ensure most accurate fraud prediction and * to simplify your data preparation, Amazon Fraud Detector will replace all * missing variables or values as follows:

For Amazon Fraud Detector * trained models:

If a null value is provided explicitly for a * variable or if a variable is missing, model will replace the null value or the * missing variable (no variable name in the eventVariables map) with calculated * default mean/medians for numeric variables and with special values for * categorical variables.

For imported SageMaker models:

If * a null value is provided explicitly for a variable, the model and rules will use * “null” as the value. If a variable is not provided (no variable name in the * eventVariables map), model and rules will use the default value that is provided * for the variable.

*/ inline void SetEventVariables(Aws::Map&& value) { m_eventVariablesHasBeenSet = true; m_eventVariables = std::move(value); } /** *

Names of the event type's variables you defined in Amazon Fraud Detector to * represent data elements and their corresponding values for the event you are * sending for evaluation.

You must provide at least one * eventVariable

To ensure most accurate fraud prediction and * to simplify your data preparation, Amazon Fraud Detector will replace all * missing variables or values as follows:

For Amazon Fraud Detector * trained models:

If a null value is provided explicitly for a * variable or if a variable is missing, model will replace the null value or the * missing variable (no variable name in the eventVariables map) with calculated * default mean/medians for numeric variables and with special values for * categorical variables.

For imported SageMaker models:

If * a null value is provided explicitly for a variable, the model and rules will use * “null” as the value. If a variable is not provided (no variable name in the * eventVariables map), model and rules will use the default value that is provided * for the variable.

*/ inline GetEventPredictionRequest& WithEventVariables(const Aws::Map& value) { SetEventVariables(value); return *this;} /** *

Names of the event type's variables you defined in Amazon Fraud Detector to * represent data elements and their corresponding values for the event you are * sending for evaluation.

You must provide at least one * eventVariable

To ensure most accurate fraud prediction and * to simplify your data preparation, Amazon Fraud Detector will replace all * missing variables or values as follows:

For Amazon Fraud Detector * trained models:

If a null value is provided explicitly for a * variable or if a variable is missing, model will replace the null value or the * missing variable (no variable name in the eventVariables map) with calculated * default mean/medians for numeric variables and with special values for * categorical variables.

For imported SageMaker models:

If * a null value is provided explicitly for a variable, the model and rules will use * “null” as the value. If a variable is not provided (no variable name in the * eventVariables map), model and rules will use the default value that is provided * for the variable.

*/ inline GetEventPredictionRequest& WithEventVariables(Aws::Map&& value) { SetEventVariables(std::move(value)); return *this;} /** *

Names of the event type's variables you defined in Amazon Fraud Detector to * represent data elements and their corresponding values for the event you are * sending for evaluation.

You must provide at least one * eventVariable

To ensure most accurate fraud prediction and * to simplify your data preparation, Amazon Fraud Detector will replace all * missing variables or values as follows:

For Amazon Fraud Detector * trained models:

If a null value is provided explicitly for a * variable or if a variable is missing, model will replace the null value or the * missing variable (no variable name in the eventVariables map) with calculated * default mean/medians for numeric variables and with special values for * categorical variables.

For imported SageMaker models:

If * a null value is provided explicitly for a variable, the model and rules will use * “null” as the value. If a variable is not provided (no variable name in the * eventVariables map), model and rules will use the default value that is provided * for the variable.

*/ inline GetEventPredictionRequest& AddEventVariables(const Aws::String& key, const Aws::String& value) { m_eventVariablesHasBeenSet = true; m_eventVariables.emplace(key, value); return *this; } /** *

Names of the event type's variables you defined in Amazon Fraud Detector to * represent data elements and their corresponding values for the event you are * sending for evaluation.

You must provide at least one * eventVariable

To ensure most accurate fraud prediction and * to simplify your data preparation, Amazon Fraud Detector will replace all * missing variables or values as follows:

For Amazon Fraud Detector * trained models:

If a null value is provided explicitly for a * variable or if a variable is missing, model will replace the null value or the * missing variable (no variable name in the eventVariables map) with calculated * default mean/medians for numeric variables and with special values for * categorical variables.

For imported SageMaker models:

If * a null value is provided explicitly for a variable, the model and rules will use * “null” as the value. If a variable is not provided (no variable name in the * eventVariables map), model and rules will use the default value that is provided * for the variable.

*/ inline GetEventPredictionRequest& AddEventVariables(Aws::String&& key, const Aws::String& value) { m_eventVariablesHasBeenSet = true; m_eventVariables.emplace(std::move(key), value); return *this; } /** *

Names of the event type's variables you defined in Amazon Fraud Detector to * represent data elements and their corresponding values for the event you are * sending for evaluation.

You must provide at least one * eventVariable

To ensure most accurate fraud prediction and * to simplify your data preparation, Amazon Fraud Detector will replace all * missing variables or values as follows:

For Amazon Fraud Detector * trained models:

If a null value is provided explicitly for a * variable or if a variable is missing, model will replace the null value or the * missing variable (no variable name in the eventVariables map) with calculated * default mean/medians for numeric variables and with special values for * categorical variables.

For imported SageMaker models:

If * a null value is provided explicitly for a variable, the model and rules will use * “null” as the value. If a variable is not provided (no variable name in the * eventVariables map), model and rules will use the default value that is provided * for the variable.

*/ inline GetEventPredictionRequest& AddEventVariables(const Aws::String& key, Aws::String&& value) { m_eventVariablesHasBeenSet = true; m_eventVariables.emplace(key, std::move(value)); return *this; } /** *

Names of the event type's variables you defined in Amazon Fraud Detector to * represent data elements and their corresponding values for the event you are * sending for evaluation.

You must provide at least one * eventVariable

To ensure most accurate fraud prediction and * to simplify your data preparation, Amazon Fraud Detector will replace all * missing variables or values as follows:

For Amazon Fraud Detector * trained models:

If a null value is provided explicitly for a * variable or if a variable is missing, model will replace the null value or the * missing variable (no variable name in the eventVariables map) with calculated * default mean/medians for numeric variables and with special values for * categorical variables.

For imported SageMaker models:

If * a null value is provided explicitly for a variable, the model and rules will use * “null” as the value. If a variable is not provided (no variable name in the * eventVariables map), model and rules will use the default value that is provided * for the variable.

*/ inline GetEventPredictionRequest& AddEventVariables(Aws::String&& key, Aws::String&& value) { m_eventVariablesHasBeenSet = true; m_eventVariables.emplace(std::move(key), std::move(value)); return *this; } /** *

Names of the event type's variables you defined in Amazon Fraud Detector to * represent data elements and their corresponding values for the event you are * sending for evaluation.

You must provide at least one * eventVariable

To ensure most accurate fraud prediction and * to simplify your data preparation, Amazon Fraud Detector will replace all * missing variables or values as follows:

For Amazon Fraud Detector * trained models:

If a null value is provided explicitly for a * variable or if a variable is missing, model will replace the null value or the * missing variable (no variable name in the eventVariables map) with calculated * default mean/medians for numeric variables and with special values for * categorical variables.

For imported SageMaker models:

If * a null value is provided explicitly for a variable, the model and rules will use * “null” as the value. If a variable is not provided (no variable name in the * eventVariables map), model and rules will use the default value that is provided * for the variable.

*/ inline GetEventPredictionRequest& AddEventVariables(const char* key, Aws::String&& value) { m_eventVariablesHasBeenSet = true; m_eventVariables.emplace(key, std::move(value)); return *this; } /** *

Names of the event type's variables you defined in Amazon Fraud Detector to * represent data elements and their corresponding values for the event you are * sending for evaluation.

You must provide at least one * eventVariable

To ensure most accurate fraud prediction and * to simplify your data preparation, Amazon Fraud Detector will replace all * missing variables or values as follows:

For Amazon Fraud Detector * trained models:

If a null value is provided explicitly for a * variable or if a variable is missing, model will replace the null value or the * missing variable (no variable name in the eventVariables map) with calculated * default mean/medians for numeric variables and with special values for * categorical variables.

For imported SageMaker models:

If * a null value is provided explicitly for a variable, the model and rules will use * “null” as the value. If a variable is not provided (no variable name in the * eventVariables map), model and rules will use the default value that is provided * for the variable.

*/ inline GetEventPredictionRequest& AddEventVariables(Aws::String&& key, const char* value) { m_eventVariablesHasBeenSet = true; m_eventVariables.emplace(std::move(key), value); return *this; } /** *

Names of the event type's variables you defined in Amazon Fraud Detector to * represent data elements and their corresponding values for the event you are * sending for evaluation.

You must provide at least one * eventVariable

To ensure most accurate fraud prediction and * to simplify your data preparation, Amazon Fraud Detector will replace all * missing variables or values as follows:

For Amazon Fraud Detector * trained models:

If a null value is provided explicitly for a * variable or if a variable is missing, model will replace the null value or the * missing variable (no variable name in the eventVariables map) with calculated * default mean/medians for numeric variables and with special values for * categorical variables.

For imported SageMaker models:

If * a null value is provided explicitly for a variable, the model and rules will use * “null” as the value. If a variable is not provided (no variable name in the * eventVariables map), model and rules will use the default value that is provided * for the variable.

*/ inline GetEventPredictionRequest& AddEventVariables(const char* key, const char* value) { m_eventVariablesHasBeenSet = true; m_eventVariables.emplace(key, value); return *this; } /** *

The Amazon SageMaker model endpoint input data blobs.

*/ inline const Aws::Map& GetExternalModelEndpointDataBlobs() const{ return m_externalModelEndpointDataBlobs; } /** *

The Amazon SageMaker model endpoint input data blobs.

*/ inline bool ExternalModelEndpointDataBlobsHasBeenSet() const { return m_externalModelEndpointDataBlobsHasBeenSet; } /** *

The Amazon SageMaker model endpoint input data blobs.

*/ inline void SetExternalModelEndpointDataBlobs(const Aws::Map& value) { m_externalModelEndpointDataBlobsHasBeenSet = true; m_externalModelEndpointDataBlobs = value; } /** *

The Amazon SageMaker model endpoint input data blobs.

*/ inline void SetExternalModelEndpointDataBlobs(Aws::Map&& value) { m_externalModelEndpointDataBlobsHasBeenSet = true; m_externalModelEndpointDataBlobs = std::move(value); } /** *

The Amazon SageMaker model endpoint input data blobs.

*/ inline GetEventPredictionRequest& WithExternalModelEndpointDataBlobs(const Aws::Map& value) { SetExternalModelEndpointDataBlobs(value); return *this;} /** *

The Amazon SageMaker model endpoint input data blobs.

*/ inline GetEventPredictionRequest& WithExternalModelEndpointDataBlobs(Aws::Map&& value) { SetExternalModelEndpointDataBlobs(std::move(value)); return *this;} /** *

The Amazon SageMaker model endpoint input data blobs.

*/ inline GetEventPredictionRequest& AddExternalModelEndpointDataBlobs(const Aws::String& key, const ModelEndpointDataBlob& value) { m_externalModelEndpointDataBlobsHasBeenSet = true; m_externalModelEndpointDataBlobs.emplace(key, value); return *this; } /** *

The Amazon SageMaker model endpoint input data blobs.

*/ inline GetEventPredictionRequest& AddExternalModelEndpointDataBlobs(Aws::String&& key, const ModelEndpointDataBlob& value) { m_externalModelEndpointDataBlobsHasBeenSet = true; m_externalModelEndpointDataBlobs.emplace(std::move(key), value); return *this; } /** *

The Amazon SageMaker model endpoint input data blobs.

*/ inline GetEventPredictionRequest& AddExternalModelEndpointDataBlobs(const Aws::String& key, ModelEndpointDataBlob&& value) { m_externalModelEndpointDataBlobsHasBeenSet = true; m_externalModelEndpointDataBlobs.emplace(key, std::move(value)); return *this; } /** *

The Amazon SageMaker model endpoint input data blobs.

*/ inline GetEventPredictionRequest& AddExternalModelEndpointDataBlobs(Aws::String&& key, ModelEndpointDataBlob&& value) { m_externalModelEndpointDataBlobsHasBeenSet = true; m_externalModelEndpointDataBlobs.emplace(std::move(key), std::move(value)); return *this; } /** *

The Amazon SageMaker model endpoint input data blobs.

*/ inline GetEventPredictionRequest& AddExternalModelEndpointDataBlobs(const char* key, ModelEndpointDataBlob&& value) { m_externalModelEndpointDataBlobsHasBeenSet = true; m_externalModelEndpointDataBlobs.emplace(key, std::move(value)); return *this; } /** *

The Amazon SageMaker model endpoint input data blobs.

*/ inline GetEventPredictionRequest& AddExternalModelEndpointDataBlobs(const char* key, const ModelEndpointDataBlob& value) { m_externalModelEndpointDataBlobsHasBeenSet = true; m_externalModelEndpointDataBlobs.emplace(key, value); return *this; } private: Aws::String m_detectorId; bool m_detectorIdHasBeenSet = false; Aws::String m_detectorVersionId; bool m_detectorVersionIdHasBeenSet = false; Aws::String m_eventId; bool m_eventIdHasBeenSet = false; Aws::String m_eventTypeName; bool m_eventTypeNameHasBeenSet = false; Aws::Vector m_entities; bool m_entitiesHasBeenSet = false; Aws::String m_eventTimestamp; bool m_eventTimestampHasBeenSet = false; Aws::Map m_eventVariables; bool m_eventVariablesHasBeenSet = false; Aws::Map m_externalModelEndpointDataBlobs; bool m_externalModelEndpointDataBlobsHasBeenSet = false; }; } // namespace Model } // namespace FraudDetector } // namespace Aws