Ai Anomaly Detection

oci.ai_anomaly_detection.AnomalyDetectionClient OCI AI Service solutions can help Enterprise customers integrate AI into their products immediately by using our proven, pre-trained/custom models or containers, and without a need to set up in house team of AI and ML experts.
oci.ai_anomaly_detection.AnomalyDetectionClientCompositeOperations This class provides a wrapper around AnomalyDetectionClient and offers convenience methods for operations that would otherwise need to be chained together.

Models

oci.ai_anomaly_detection.models.AiPrivateEndpoint A private network reverse connection creates a connection from service to customer subnet over a private network.
oci.ai_anomaly_detection.models.AiPrivateEndpointCollection A collection of AI Service PrivateEndpoints Each item is a AI Service PrivateEndpoint Summary object.
oci.ai_anomaly_detection.models.AiPrivateEndpointSummary A private network reverse connection creates a connection from service to customer subnet over a private network.
oci.ai_anomaly_detection.models.Anomaly An object to hold value information for each anomaly point
oci.ai_anomaly_detection.models.AnomalyDetectResult Results of the detect anomalies call.
oci.ai_anomaly_detection.models.ChangeAiPrivateEndpointCompartmentDetails Information about the change compartment for the private endpoint resource.
oci.ai_anomaly_detection.models.ChangeDataAssetCompartmentDetails Details for changing the compartment of a data asset.
oci.ai_anomaly_detection.models.ChangeModelCompartmentDetails Details for changing the compartment of a model.
oci.ai_anomaly_detection.models.ChangeProjectCompartmentDetails Details for changing the compartment of a project.
oci.ai_anomaly_detection.models.CreateAiPrivateEndpointDetails Information about the new private endpoint resource.
oci.ai_anomaly_detection.models.CreateDataAssetDetails Parameters needed to create a new data asset.
oci.ai_anomaly_detection.models.CreateModelDetails The information needed to train a new model
oci.ai_anomaly_detection.models.CreateProjectDetails Parameters needed to create a new project.
oci.ai_anomaly_detection.models.DataAsset Description of DataAsset.
oci.ai_anomaly_detection.models.DataAssetCollection Results of a dataAsset search.
oci.ai_anomaly_detection.models.DataAssetSummary Summary of the DataAsset.
oci.ai_anomaly_detection.models.DataItem Simple object representing signal values at a certain point in time.
oci.ai_anomaly_detection.models.DataSourceDetails Possible data sources
oci.ai_anomaly_detection.models.DataSourceDetailsATP Data Source details for ATP
oci.ai_anomaly_detection.models.DataSourceDetailsInflux Data Source details for influx.
oci.ai_anomaly_detection.models.DataSourceDetailsObjectStorage Data Source details for object storage
oci.ai_anomaly_detection.models.DetectAnomaliesDetails Base class for the DetectAnomalies call.
oci.ai_anomaly_detection.models.DetectionResultItem An object to hold detection result for one timestamp/row.
oci.ai_anomaly_detection.models.EmbeddedDetectAnomaliesRequest The request body when the user selects to provide byte data in detect call which is Base64 encoded.
oci.ai_anomaly_detection.models.InfluxDetails Possible data sources
oci.ai_anomaly_detection.models.InfluxDetailsV1v8 Influx details for V_1_8.
oci.ai_anomaly_detection.models.InfluxDetailsV2v0 Influx details for V_2_0.
oci.ai_anomaly_detection.models.InlineDetectAnomaliesRequest This is the specialised JSON format that we accept as Training data, with an additional field for ‘requestType’ which is a required field used deciding whether it is an inline request or contains embedded data.
oci.ai_anomaly_detection.models.Model Description of Model.
oci.ai_anomaly_detection.models.ModelCollection Results of a model search.
oci.ai_anomaly_detection.models.ModelSummary Summary of the Model.
oci.ai_anomaly_detection.models.ModelTrainingDetails Specifies the details of the MSET model during the create call.
oci.ai_anomaly_detection.models.ModelTrainingResults Specifies the details for an Anomaly Detection model trained with MSET.
oci.ai_anomaly_detection.models.PerSignalDetails Detailed information like statistics, metrics and status for a signal
oci.ai_anomaly_detection.models.Project Project enable users to organize their resources.
oci.ai_anomaly_detection.models.ProjectCollection Results of a projects list search.
oci.ai_anomaly_detection.models.ProjectSummary Summary of the Project.
oci.ai_anomaly_detection.models.RowReductionDetails Information regarding how/what row reduction methods will be applied.
oci.ai_anomaly_detection.models.UpdateAiPrivateEndpointDetails Information about the modified private endpoint resource.
oci.ai_anomaly_detection.models.UpdateDataAssetDetails The information to be updated.
oci.ai_anomaly_detection.models.UpdateModelDetails The information to be updated.
oci.ai_anomaly_detection.models.UpdateProjectDetails The information to be updated for the project.
oci.ai_anomaly_detection.models.WorkRequest A description of workrequest status
oci.ai_anomaly_detection.models.WorkRequestError An error encountered while executing a work request.
oci.ai_anomaly_detection.models.WorkRequestErrorCollection Results of a workRequestError search.
oci.ai_anomaly_detection.models.WorkRequestLogEntry A log message from the execution of a work request.
oci.ai_anomaly_detection.models.WorkRequestLogEntryCollection Results of a workRequestLog search.
oci.ai_anomaly_detection.models.WorkRequestResource A resource created or operated on by a work request.
oci.ai_anomaly_detection.models.WorkRequestSummary A summary of the status of a work request.
oci.ai_anomaly_detection.models.WorkRequestSummaryCollection Results of a workRequest search.