Awso_frauddetector.ValuesSourceval structure_to_value_aux :
('a * 'b option) list ->
f:(('a * 'b) list -> 'c) ->
[> `Structure of 'c ]val structure_to_wrapped_value :
wrapper:'a ->
response:'a ->
('b * 'c option) list ->
[> `Structure of ('a * [> `Structure of ('b * 'c) list ]) list ]The details of the impact of aggregated variables on the prediction score. Account Takeover Insights (ATI) model uses the login data you provide to continuously calculate a set of variables (aggregated variables) based on historical events. For example, the 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.
The details of the event variable's impact on the prediction score.
The Account Takeover Insights (ATI) model performance metrics data points.
The Online Fraud Insights (OFI) model performance metrics data points.
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.
The performance metrics data points for Transaction Fraud Insights (TFI) model.
The message details.
The message details.
Model performance metrics data points.
The log odds metric details.
The log odds metric details. 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.
The Account Takeover Insights (ATI) model performance score.
The Online Fraud Insights (OFI) model performance score.
The Transaction Fraud Insights (TFI) model performance score.
The prediction explanations that provide insight into how each event variable impacted the model version's fraud prediction score.
The Account Takeover Insights (ATI) model training metric details.
The Online Fraud Insights (OFI) model training metric details.
The Transaction Fraud Insights (TFI) model training metric details.
The model version evalutions.
The start and stop time of the ingested events.
The label schema.
The model training data validation metrics.
The training metric details.
The variable importance metrics details.
The details of the relative importance 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.
The training metrics details.
The Amazon SageMaker model input configuration.
Provides the Amazon Sagemaker model output configuration.
The event orchestration status.
Data about the stored events.
The Amazon SageMaker model.
The model version.
Details for the external events data used for model version training.
The details of the ingested event.
The training data schema.
The training result details.
The training result details.
Information about the summary of an event prediction.
The details of the rule.
The metadata of a list.
The Amazon SageMaker model.
The fraud prediction scores from Amazon SageMaker model.
The fraud prediction scores.
The rule results.
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 details of the rule used for evaluating variable values.
The details of the external (Amazon Sagemaker) model evaluated for generating predictions.
The model version evaluated for generating prediction.
Information about the summary of an event variable that was evaluated for generating prediction.
The entity type details.
The batch prediction details.
The batch import job details.
The details of the model version.
The summary of the detector version.
Provides the error of the batch get variable API.
Provides the error of the batch create variable API.
A variable in the list of variables for the batch create variable request.
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.
An exception indicating there was a conflict during a delete operation.
An exception indicating an internal server error.
An exception indicating the specified resource was not found.
An exception indicating a throttling error.
An exception indicating a specified value is not allowed.
A conditional statement for filtering a list of past predictions.
The time period for when the predictions were generated.
An exception indicating that the attached customer-owned (external) model threw an exception when Amazon Fraud Detector invoked the model.
Updates a variable.
Updates a variable.
Updates a rule version resulting in a new rule version. Updates a rule version resulting in a new rule version (version 1, 2, 3 ...).
Updates a rule version resulting in a new rule version. Updates a rule version resulting in a new rule version (version 1, 2, 3 ...).
Updates a rule's metadata. The description attribute can be updated.
Updates a rule's metadata. The description attribute can be updated.
Updates the status of a model version. You can perform the following status updates: Change the TRAINING_IN_PROGRESS status to TRAINING_CANCELLED. Change the TRAINING_COMPLETE status to ACTIVE. Change ACTIVE to INACTIVE.
Updates the status of a model version. You can perform the following status updates: Change the TRAINING_IN_PROGRESS status to TRAINING_CANCELLED. Change the TRAINING_COMPLETE status to ACTIVE. Change ACTIVE to INACTIVE.
Updates a model version. Updating a model version retrains an existing model version using updated training data and produces a new minor version of the model. You can update the training data set location and data access role attributes using this action. This action creates and trains a new minor version of the model, for example version 1.01, 1.02, 1.03.
Updates a model version. Updating a model version retrains an existing model version using updated training data and produces a new minor version of the model. You can update the training data set location and data access role attributes using this action. This action creates and trains a new minor version of the model, for example version 1.01, 1.02, 1.03.
Updates model description.
Updates model description.
Updates a list.
Updates a list.
Updates the specified event with a new label.
Updates the specified event with a new label.
Updates the detector version’s status. You can perform the following promotions or demotions using UpdateDetectorVersionStatus: DRAFT to ACTIVE, ACTIVE to INACTIVE, and INACTIVE to ACTIVE.
Updates the detector version’s status. You can perform the following promotions or demotions using UpdateDetectorVersionStatus: DRAFT to ACTIVE, ACTIVE to INACTIVE, and INACTIVE to ACTIVE.
Updates a detector version. The detector version attributes that you can update include models, external model endpoints, rules, rule execution mode, and description. You can only update a DRAFT detector version.
Updates a detector version. The detector version attributes that you can update include models, external model endpoints, rules, rule execution mode, and description. You can only update a DRAFT detector version.
Updates the detector version's description. You can update the metadata for any detector version (DRAFT, ACTIVE, or INACTIVE).
Updates the detector version's description. You can update the metadata for any detector version (DRAFT, ACTIVE, or INACTIVE).
Removes tags from a resource.
Removes tags from a resource.
Assigns tags to a resource.
Assigns tags to a resource.
Stores events in Amazon Fraud Detector without generating fraud predictions for those events. For example, you can use SendEvent to upload a historical dataset, which you can then later use to train a model.
Stores events in Amazon Fraud Detector without generating fraud predictions for those events. For example, you can use SendEvent to upload a historical dataset, which you can then later use to train a model.
Creates or updates an outcome.
Creates or updates an outcome.
Creates or updates label. A label classifies an event as fraudulent or legitimate. Labels are associated with event types and used to train supervised machine learning models in Amazon Fraud Detector.
Creates or updates label. A label classifies an event as fraudulent or legitimate. Labels are associated with event types and used to train supervised machine learning models in Amazon Fraud Detector.
Specifies the KMS key to be used to encrypt content in Amazon Fraud Detector.
Specifies the KMS key to be used to encrypt content in Amazon Fraud Detector.
Creates or updates an Amazon SageMaker model endpoint. You can also use this action to update the configuration of the model endpoint, including the IAM role and/or the mapped variables.
Creates or updates an Amazon SageMaker model endpoint. You can also use this action to update the configuration of the model endpoint, including the IAM role and/or the mapped variables.
Creates or updates an event type. An event is a business activity that is evaluated for fraud risk. With Amazon Fraud Detector, you generate fraud predictions for events. An event type defines the structure for an event sent to Amazon Fraud Detector. This includes the variables sent as part of the event, the entity performing the event (such as a customer), and the labels that classify the event. Example event types include online payment transactions, account registrations, and authentications.
Creates or updates an event type. An event is a business activity that is evaluated for fraud risk. With Amazon Fraud Detector, you generate fraud predictions for events. An event type defines the structure for an event sent to Amazon Fraud Detector. This includes the variables sent as part of the event, the entity performing the event (such as a customer), and the labels that classify the event. Example event types include online payment transactions, account registrations, and authentications.
Creates or updates an entity type. An entity represents who is performing the event. As part of a fraud prediction, you pass the entity ID to indicate the specific entity who performed the event. An entity type classifies the entity. Example classifications include customer, merchant, or account.
Creates or updates an entity type. An entity represents who is performing the event. As part of a fraud prediction, you pass the entity ID to indicate the specific entity who performed the event. An entity type classifies the entity. Example classifications include customer, merchant, or account.
Creates or updates a detector.
Creates or updates a detector.
Lists all tags associated with the resource. This is a paginated API. To get the next page results, provide the pagination token from the response as part of your request. A null pagination token fetches the records from the beginning.
Lists all tags associated with the resource. This is a paginated API. To get the next page results, provide the pagination token from the response as part of your request. A null pagination token fetches the records from the beginning.
Gets a list of past predictions. The list can be filtered by detector ID, detector version ID, event ID, event type, or by specifying a time period. If filter is not specified, the most recent prediction is returned. For example, the following filter lists all past predictions for xyz event type - { "eventType":{ "value": "xyz" }” } This is a paginated API. If you provide a null maxResults, this action will retrieve a maximum of 10 records per page. If you provide a maxResults, the value must be between 50 and 100. To get the next page results, provide the nextToken from the response as part of your request. A null nextToken fetches the records from the beginning.
Gets a list of past predictions. The list can be filtered by detector ID, detector version ID, event ID, event type, or by specifying a time period. If filter is not specified, the most recent prediction is returned. For example, the following filter lists all past predictions for xyz event type - { "eventType":{ "value": "xyz" }” } This is a paginated API. If you provide a null maxResults, this action will retrieve a maximum of 10 records per page. If you provide a maxResults, the value must be between 50 and 100. To get the next page results, provide the nextToken from the response as part of your request. A null nextToken fetches the records from the beginning.
Gets all of the variables or the specific variable. This is a paginated API. Providing null maxSizePerPage results in retrieving maximum of 100 records per page. If you provide maxSizePerPage the value must be between 50 and 100. To get the next page result, a provide a pagination token from GetVariablesResult as part of your request. Null pagination token fetches the records from the beginning.
Gets all of the variables or the specific variable. This is a paginated API. Providing null maxSizePerPage results in retrieving maximum of 100 records per page. If you provide maxSizePerPage the value must be between 50 and 100. To get the next page result, a provide a pagination token from GetVariablesResult as part of your request. Null pagination token fetches the records from the beginning.
Get all rules for a detector (paginated) if ruleId and ruleVersion are not specified. Gets all rules for the detector and the ruleId if present (paginated). Gets a specific rule if both the ruleId and the ruleVersion are specified. This is a paginated API. Providing null maxResults results in retrieving maximum of 100 records per page. If you provide maxResults the value must be between 50 and 100. To get the next page result, a provide a pagination token from GetRulesResult as part of your request. Null pagination token fetches the records from the beginning.
Get all rules for a detector (paginated) if ruleId and ruleVersion are not specified. Gets all rules for the detector and the ruleId if present (paginated). Gets a specific rule if both the ruleId and the ruleVersion are specified. This is a paginated API. Providing null maxResults results in retrieving maximum of 100 records per page. If you provide maxResults the value must be between 50 and 100. To get the next page result, a provide a pagination token from GetRulesResult as part of your request. Null pagination token fetches the records from the beginning.
Gets one or more outcomes. This is a paginated API. If you provide a null maxResults, this actions retrieves a maximum of 100 records per page. If you provide a maxResults, the value must be between 50 and 100. To get the next page results, provide the pagination token from the GetOutcomesResult as part of your request. A null pagination token fetches the records from the beginning.
Gets one or more outcomes. This is a paginated API. If you provide a null maxResults, this actions retrieves a maximum of 100 records per page. If you provide a maxResults, the value must be between 50 and 100. To get the next page results, provide the pagination token from the GetOutcomesResult as part of your request. A null pagination token fetches the records from the beginning.
Gets one or more models. Gets all models for the Amazon Web Services account if no model type and no model id provided. Gets all models for the Amazon Web Services account and model type, if the model type is specified but model id is not provided. Gets a specific model if (model type, model id) tuple is specified. This is a paginated API. If you provide a null maxResults, this action retrieves a maximum of 10 records per page. If you provide a maxResults, the value must be between 1 and 10. To get the next page results, provide the pagination token from the response as part of your request. A null pagination token fetches the records from the beginning.
Gets one or more models. Gets all models for the Amazon Web Services account if no model type and no model id provided. Gets all models for the Amazon Web Services account and model type, if the model type is specified but model id is not provided. Gets a specific model if (model type, model id) tuple is specified. This is a paginated API. If you provide a null maxResults, this action retrieves a maximum of 10 records per page. If you provide a maxResults, the value must be between 1 and 10. To get the next page results, provide the pagination token from the response as part of your request. A null pagination token fetches the records from the beginning.
Gets the details of the specified model version.
Gets the details of the specified model version.
Gets the metadata of either all the lists under the account or the specified list.
Gets the metadata of either all the lists under the account or the specified list.
Gets all the elements in the specified list.
Gets all the elements in the specified list.
Gets all labels or a specific label if name is provided. This is a paginated API. If you provide a null maxResults, this action retrieves a maximum of 50 records per page. If you provide a maxResults, the value must be between 10 and 50. To get the next page results, provide the pagination token from the GetGetLabelsResponse as part of your request. A null pagination token fetches the records from the beginning.
Gets all labels or a specific label if name is provided. This is a paginated API. If you provide a null maxResults, this action retrieves a maximum of 50 records per page. If you provide a maxResults, the value must be between 10 and 50. To get the next page results, provide the pagination token from the GetGetLabelsResponse as part of your request. A null pagination token fetches the records from the beginning.
Gets the encryption key if a KMS key has been specified to be used to encrypt content in Amazon Fraud Detector.
Gets the details for one or more Amazon SageMaker models that have been imported into the service. This is a paginated API. If you provide a null maxResults, this actions retrieves a maximum of 10 records per page. If you provide a maxResults, the value must be between 5 and 10. To get the next page results, provide the pagination token from the GetExternalModelsResult as part of your request. A null pagination token fetches the records from the beginning.
Gets the details for one or more Amazon SageMaker models that have been imported into the service. This is a paginated API. If you provide a null maxResults, this actions retrieves a maximum of 10 records per page. If you provide a maxResults, the value must be between 5 and 10. To get the next page results, provide the pagination token from the GetExternalModelsResult as part of your request. A null pagination token fetches the records from the beginning.
Gets all event types or a specific event type if name is provided. This is a paginated API. If you provide a null maxResults, this action retrieves a maximum of 10 records per page. If you provide a maxResults, the value must be between 5 and 10. To get the next page results, provide the pagination token from the GetEventTypesResponse as part of your request. A null pagination token fetches the records from the beginning.
Gets all event types or a specific event type if name is provided. This is a paginated API. If you provide a null maxResults, this action retrieves a maximum of 10 records per page. If you provide a maxResults, the value must be between 5 and 10. To get the next page results, provide the pagination token from the GetEventTypesResponse as part of your request. A null pagination token fetches the records from the beginning.
Retrieves details of events stored with Amazon Fraud Detector. This action does not retrieve prediction results.
Retrieves details of events stored with Amazon Fraud Detector. This action does not retrieve prediction results.
Evaluates an event against a detector version. If a version ID is not provided, the detector’s (ACTIVE) version is used.
Evaluates an event against a detector version. If a version ID is not provided, the detector’s (ACTIVE) version is used.
Gets details of the past fraud predictions for the specified event ID, event type, detector ID, and detector version ID that was generated in the specified time period.
Gets details of the past fraud predictions for the specified event ID, event type, detector ID, and detector version ID that was generated in the specified time period.
Gets all entity types or a specific entity type if a name is specified. This is a paginated API. If you provide a null maxResults, this action retrieves a maximum of 10 records per page. If you provide a maxResults, the value must be between 5 and 10. To get the next page results, provide the pagination token from the GetEntityTypesResponse as part of your request. A null pagination token fetches the records from the beginning.
Gets all entity types or a specific entity type if a name is specified. This is a paginated API. If you provide a null maxResults, this action retrieves a maximum of 10 records per page. If you provide a maxResults, the value must be between 5 and 10. To get the next page results, provide the pagination token from the GetEntityTypesResponse as part of your request. A null pagination token fetches the records from the beginning.
Gets all detectors or a single detector if a detectorId is specified. This is a paginated API. If you provide a null maxResults, this action retrieves a maximum of 10 records per page. If you provide a maxResults, the value must be between 5 and 10. To get the next page results, provide the pagination token from the GetDetectorsResponse as part of your request. A null pagination token fetches the records from the beginning.
Gets all detectors or a single detector if a detectorId is specified. This is a paginated API. If you provide a null maxResults, this action retrieves a maximum of 10 records per page. If you provide a maxResults, the value must be between 5 and 10. To get the next page results, provide the pagination token from the GetDetectorsResponse as part of your request. A null pagination token fetches the records from the beginning.
Gets a particular detector version.
Gets a particular detector version.
Retrieves the status of a DeleteEventsByEventType action.
Retrieves the status of a DeleteEventsByEventType action.
Gets all batch prediction jobs or a specific job if you specify a job ID. This is a paginated API. If you provide a null maxResults, this action retrieves a maximum of 50 records per page. If you provide a maxResults, the value must be between 1 and 50. To get the next page results, provide the pagination token from the GetBatchPredictionJobsResponse as part of your request. A null pagination token fetches the records from the beginning.
Gets all batch prediction jobs or a specific job if you specify a job ID. This is a paginated API. If you provide a null maxResults, this action retrieves a maximum of 50 records per page. If you provide a maxResults, the value must be between 1 and 50. To get the next page results, provide the pagination token from the GetBatchPredictionJobsResponse as part of your request. A null pagination token fetches the records from the beginning.
Gets all batch import jobs or a specific job of the specified ID. This is a paginated API. If you provide a null maxResults, this action retrieves a maximum of 50 records per page. If you provide a maxResults, the value must be between 1 and 50. To get the next page results, provide the pagination token from the GetBatchImportJobsResponse as part of your request. A null pagination token fetches the records from the beginning.
Gets all batch import jobs or a specific job of the specified ID. This is a paginated API. If you provide a null maxResults, this action retrieves a maximum of 50 records per page. If you provide a maxResults, the value must be between 1 and 50. To get the next page results, provide the pagination token from the GetBatchImportJobsResponse as part of your request. A null pagination token fetches the records from the beginning.
Gets all of the model versions for the specified model type or for the specified model type and model ID. You can also get details for a single, specified model version.
Gets all of the model versions for the specified model type or for the specified model type and model ID. You can also get details for a single, specified model version.
Gets all versions for a specified detector.
Gets all versions for a specified detector.
Deletes a variable. You can't delete variables that are included in an event type in Amazon Fraud Detector. Amazon Fraud Detector automatically deletes model output variables and SageMaker model output variables when you delete the model. You can't delete these variables manually. When you delete a variable, Amazon Fraud Detector permanently deletes that variable and the data is no longer stored in Amazon Fraud Detector.
Deletes a variable. You can't delete variables that are included in an event type in Amazon Fraud Detector. Amazon Fraud Detector automatically deletes model output variables and SageMaker model output variables when you delete the model. You can't delete these variables manually. When you delete a variable, Amazon Fraud Detector permanently deletes that variable and the data is no longer stored in Amazon Fraud Detector.
Deletes the rule. You cannot delete a rule if it is used by an ACTIVE or INACTIVE detector version. When you delete a rule, Amazon Fraud Detector permanently deletes that rule and the data is no longer stored in Amazon Fraud Detector.
Deletes the rule. You cannot delete a rule if it is used by an ACTIVE or INACTIVE detector version. When you delete a rule, Amazon Fraud Detector permanently deletes that rule and the data is no longer stored in Amazon Fraud Detector.
Deletes an outcome. You cannot delete an outcome that is used in a rule version. When you delete an outcome, Amazon Fraud Detector permanently deletes that outcome and the data is no longer stored in Amazon Fraud Detector.
Deletes an outcome. You cannot delete an outcome that is used in a rule version. When you delete an outcome, Amazon Fraud Detector permanently deletes that outcome and the data is no longer stored in Amazon Fraud Detector.
Deletes a model version. You can delete models and model versions in Amazon Fraud Detector, provided that they are not associated with a detector version. When you delete a model version, Amazon Fraud Detector permanently deletes that model version and the data is no longer stored in Amazon Fraud Detector.
Deletes a model version. You can delete models and model versions in Amazon Fraud Detector, provided that they are not associated with a detector version. When you delete a model version, Amazon Fraud Detector permanently deletes that model version and the data is no longer stored in Amazon Fraud Detector.
Deletes a model. You can delete models and model versions in Amazon Fraud Detector, provided that they are not associated with a detector version. When you delete a model, Amazon Fraud Detector permanently deletes that model and the data is no longer stored in Amazon Fraud Detector.
Deletes a model. You can delete models and model versions in Amazon Fraud Detector, provided that they are not associated with a detector version. When you delete a model, Amazon Fraud Detector permanently deletes that model and the data is no longer stored in Amazon Fraud Detector.
Deletes the list, provided it is not used in a rule. When you delete a list, Amazon Fraud Detector permanently deletes that list and the elements in the list.
Deletes the list, provided it is not used in a rule. When you delete a list, Amazon Fraud Detector permanently deletes that list and the elements in the list.
Deletes a label. You cannot delete labels that are included in an event type in Amazon Fraud Detector. You cannot delete a label assigned to an event ID. You must first delete the relevant event ID. When you delete a label, Amazon Fraud Detector permanently deletes that label and the data is no longer stored in Amazon Fraud Detector.
Deletes a label. You cannot delete labels that are included in an event type in Amazon Fraud Detector. You cannot delete a label assigned to an event ID. You must first delete the relevant event ID. When you delete a label, Amazon Fraud Detector permanently deletes that label and the data is no longer stored in Amazon Fraud Detector.
Removes a SageMaker model from Amazon Fraud Detector. You can remove an Amazon SageMaker model if it is not associated with a detector version. Removing a SageMaker model disconnects it from Amazon Fraud Detector, but the model remains available in SageMaker.
Removes a SageMaker model from Amazon Fraud Detector. You can remove an Amazon SageMaker model if it is not associated with a detector version. Removing a SageMaker model disconnects it from Amazon Fraud Detector, but the model remains available in SageMaker.
Deletes all events of a particular event type.
Deletes all events of a particular event type.
Deletes an event type. You cannot delete an event type that is used in a detector or a model. When you delete an event type, Amazon Fraud Detector permanently deletes that event type and the data is no longer stored in Amazon Fraud Detector.
Deletes an event type. You cannot delete an event type that is used in a detector or a model. When you delete an event type, Amazon Fraud Detector permanently deletes that event type and the data is no longer stored in Amazon Fraud Detector.
Deletes the specified event. When you delete an event, Amazon Fraud Detector permanently deletes that event and the event data is no longer stored in Amazon Fraud Detector. If deleteAuditHistory is True, event data is available through search for up to 30 seconds after the delete operation is completed.
Deletes the specified event. When you delete an event, Amazon Fraud Detector permanently deletes that event and the event data is no longer stored in Amazon Fraud Detector. If deleteAuditHistory is True, event data is available through search for up to 30 seconds after the delete operation is completed.
Deletes an entity type. You cannot delete an entity type that is included in an event type. When you delete an entity type, Amazon Fraud Detector permanently deletes that entity type and the data is no longer stored in Amazon Fraud Detector.
Deletes an entity type. You cannot delete an entity type that is included in an event type. When you delete an entity type, Amazon Fraud Detector permanently deletes that entity type and the data is no longer stored in Amazon Fraud Detector.
Deletes the detector version. You cannot delete detector versions that are in ACTIVE status. When you delete a detector version, Amazon Fraud Detector permanently deletes the detector and the data is no longer stored in Amazon Fraud Detector.
Deletes the detector version. You cannot delete detector versions that are in ACTIVE status. When you delete a detector version, Amazon Fraud Detector permanently deletes the detector and the data is no longer stored in Amazon Fraud Detector.
Deletes the detector. Before deleting a detector, you must first delete all detector versions and rule versions associated with the detector. When you delete a detector, Amazon Fraud Detector permanently deletes the detector and the data is no longer stored in Amazon Fraud Detector.
Deletes the detector. Before deleting a detector, you must first delete all detector versions and rule versions associated with the detector. When you delete a detector, Amazon Fraud Detector permanently deletes the detector and the data is no longer stored in Amazon Fraud Detector.
Deletes a batch prediction job.
Deletes a batch prediction job.
Deletes the specified batch import job ID record. This action does not delete the data that was batch imported.
Deletes the specified batch import job ID record. This action does not delete the data that was batch imported.
Creates a variable.
Creates a variable.
Creates a rule for use with the specified detector.
Creates a rule for use with the specified detector.
Creates a version of the model using the specified model type and model id.
Creates a version of the model using the specified model type and model id.
Creates a model using the specified model type.
Creates a model using the specified model type.
Creates a list. List is a set of input data for a variable in your event dataset. You use the input data in a rule that's associated with your detector. For more information, see Lists.
Creates a list. List is a set of input data for a variable in your event dataset. You use the input data in a rule that's associated with your detector. For more information, see Lists.
Creates a detector version. The detector version starts in a DRAFT status.
Creates a detector version. The detector version starts in a DRAFT status.
Creates a batch prediction job.
Creates a batch prediction job.
Creates a batch import job.
Creates a batch import job.
Cancels the specified batch prediction job.
Cancels the specified batch prediction job.
Cancels an in-progress batch import job.
Cancels an in-progress batch import job.
Gets a batch of variables.
Gets a batch of variables.
Creates a batch of variables.
Creates a batch of variables.