Namespace Oci.AianomalydetectionService.Models

Classes

AiPrivateEndpoint

A private network reverse connection creates a connection from service to customer subnet over a private network.

AiPrivateEndpointCollection

A collection of AI Service PrivateEndpoints Each item is a AI Service PrivateEndpoint Summary object.

AiPrivateEndpointSummary

A private network reverse connection creates a connection from service to customer subnet over a private network.

Anomaly

An object to hold value information for each anomaly point

ChangeAiPrivateEndpointCompartmentDetails

Information about the change compartment for the private endpoint resource.

ChangeDataAssetCompartmentDetails

Details for changing the compartment of a data asset.

ChangeDetectAnomalyJobCompartmentDetails

Details for changing the compartment of the DetectAnomalyJob.

ChangeModelCompartmentDetails

Details for changing the compartment of a model.

ChangeProjectCompartmentDetails

Details for changing the compartment of a project.

CreateAiPrivateEndpointDetails

Information about the new private endpoint resource.

CreateDataAssetDetails

Parameters needed to create a new data asset.

CreateDetectAnomalyJobDetails

Base class for the DetectAnomalies async call. It contains the identifier that is used for deciding what type of request this is.

CreateModelDetails

The information needed to train a new model

CreateProjectDetails

Parameters needed to create a new project. Projects enable users to organize their work.

DataAssetCollection

Results of a dataAsset search. Contains both DataAssetSummary items and other data.

DataItem

Simple object representing signal values at a certain point in time.

DataSourceDetailsModelConverter

DataSourceDetailsObjectStorage

Data Source details for object storage

DetectAnomaliesDetails

Base class for the DetectAnomalies call. It contains the identifier that is used for deciding what type of request this is.

DetectAnomaliesDetailsModelConverter

DetectAnomalyJob

Anomaly Job contains information for asynchronous detection of anomalies.

DetectAnomalyJobCollection

A collection of anomaly jobs. Each item is a DetectAnomalyJob summary object.

DetectAnomalyJobSummary

Anomaly Job summary contains minimal information for asynchronous inference of anomalies returned in list response.

DetectionResultItem

An object to hold detection result for one timestamp/row.

EmbeddedDetectAnomaliesRequest

The request body when the user selects to provide byte data in detect call which is Base64 encoded. The default type of the data is CSV and can be JSON by setting the 'contentType'.

EmbeddedInputDetails

The request body when byte data is provided in detect call, which is Base64 encoded. The default type of the data is CSV and can be JSON by setting the 'contentType'.

This is the specialised JSON format that is accepted as training data, with an additional field for 'requestType'. This is a required field used deciding whether it is an inline request or contains embedded data.

InlineInputDetails

This is the specialized JSON format that is accepted as training data, with an additional field for 'requestType'. This is a required field used deciding whether it is an inline request or contains embedded data.

InlineInputJobDetails

This is the specialized JSON format with an additional field for 'locationType'. This is a required field used for deciding if it is an inline location or contains object-storage location.

InputDetails

Detect anomaly asynchronous job details.

InputDetailsModelConverter

InputJobDetails

Input details for detect anomaly job.

InputJobDetailsModelConverter

Model

Description of Model.

ModelCollection

Results of a model search. Contains ModelSummary items.

ModelSummary

Summary of the Model.

ModelTrainingDetails

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

ModelTrainingResults

Specifies the details for an Anomaly Detection model trained with MSET.

ObjectListInputDetails

A list of object locations in Object Storage.

ObjectListInputJobDetails

A list of object locations in Object Storage.

ObjectLocation

A location in Object Storage that is uniquely identified by namespace name, bucket name, and object name.

ObjectStorageLocation

This is the specialised JSON format with an additional field for 'locationType'. This is a required field used for deciding if it is an object-storage location.

ObjectStoreOutputDetails

OCI Object Storage Location.

OutputDetails

Detect anomaly job output details.

OutputDetailsModelConverter

OutputJobDetails

Output details for detect anomaly job.

OutputJobDetailsModelConverter

PerSignalDetails

Detailed information like statistics, metrics and status for a signal

Project

Project enable users to organize their resources.

ProjectCollection

Results of a projects list search. Contains Project objects.

ProjectSummary

Summary of the Project.

RowReductionDetails

Information regarding how/what row reduction methods will be applied. If this property is not present or is null, then it means row reduction is not applied.