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.ChangeDetectAnomalyJobCompartmentDetails	Details for changing the compartment of the DetectAnomalyJob.
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.CreateDetectAnomalyJobDetails	Base class for the DetectAnomalies async call.
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.DetectAnomalyJob	Anomaly Job contains information for asynchronous detection of anomalies.
oci.ai_anomaly_detection.models.DetectAnomalyJobCollection	A collection of anomaly jobs.
oci.ai_anomaly_detection.models.DetectAnomalyJobSummary	Anomaly Job summary contains minimal information for asynchronous inference of anomalies returned in list response.
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.EmbeddedInputDetails	The request body when byte data is provided 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 is accepted as training data, with an additional field for ‘requestType’.
oci.ai_anomaly_detection.models.InlineInputDetails	This is the specialized JSON format that is accepted as training data, with an additional field for ‘requestType’.
oci.ai_anomaly_detection.models.InlineInputJobDetails	This is the specialized JSON format with an additional field for ‘locationType’.
oci.ai_anomaly_detection.models.InputDetails	Detect anomaly asynchronous job details.
oci.ai_anomaly_detection.models.InputJobDetails	Input details for detect anomaly job.
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.ObjectListInputDetails	A list of object locations in Object Storage.
oci.ai_anomaly_detection.models.ObjectListInputJobDetails	A list of object locations in Object Storage.
oci.ai_anomaly_detection.models.ObjectLocation	A location in Object Storage that is uniquely identified by namespace name, bucket name, and object name.
oci.ai_anomaly_detection.models.ObjectStorageLocation	This is the specialised JSON format with an additional field for ‘locationType’.
oci.ai_anomaly_detection.models.ObjectStoreOutputDetails	OCI Object Storage Location.
oci.ai_anomaly_detection.models.OutputDetails	Detect anomaly job output details.
oci.ai_anomaly_detection.models.OutputJobDetails	Output details for detect anomaly job.
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.UpdateDetectAnomalyJobDetails	The information to be updated for the DetectAnomalyJob.
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.