Index (Azure SDK for Java Reference Documentation)

A B C D E F G H I L M N O P R S T U V W Y Z
All Classes and Interfaces|All Packages

A

addPolicy(HttpPipelinePolicy) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder: .
AlignMode - Enum in com.azure.ai.anomalydetector.models: Defines values for AlignMode.
AlignPolicy - Class in com.azure.ai.anomalydetector.models: An optional field, indicating the manner to align multiple variables.
AlignPolicy() - Constructor for class com.azure.ai.anomalydetector.models.AlignPolicy: Creates an instance of AlignPolicy class.
AnomalyDetectionModel - Class in com.azure.ai.anomalydetector.models: Response of getting a model.
AnomalyDetectorAsyncClient - Class in com.azure.ai.anomalydetector: Initializes a new instance of the asynchronous AnomalyDetectorClient type.
AnomalyDetectorClient - Class in com.azure.ai.anomalydetector: Initializes a new instance of the synchronous AnomalyDetectorClient type.
AnomalyDetectorClientBuilder - Class in com.azure.ai.anomalydetector: A builder for creating a new instance of the AnomalyDetectorClient type.
AnomalyDetectorClientBuilder() - Constructor for class com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder: Create an instance of the AnomalyDetectorClientBuilder.
AnomalyDetectorServiceVersion - Enum in com.azure.ai.anomalydetector: Service version of AnomalyDetectorClient.
AnomalyInterpretation - Class in com.azure.ai.anomalydetector.models: Interpretation of the anomalous timestamp.
AnomalyState - Class in com.azure.ai.anomalydetector.models: Anomaly status and information.
AnomalyValue - Class in com.azure.ai.anomalydetector.models: Detailed information of the anomalous timestamp.
AUTO - Static variable in class com.azure.ai.anomalydetector.models.ImputeMode: Static value auto for ImputeMode.

B

buildAsyncClient() - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder: Builds an instance of AnomalyDetectorAsyncClient class.
buildClient() - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder: Builds an instance of AnomalyDetectorClient class.

C

clientOptions(ClientOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder: .
com.azure.ai.anomalydetector - package com.azure.ai.anomalydetector: Package containing the classes for AnomalyDetector.
com.azure.ai.anomalydetector.models - package com.azure.ai.anomalydetector.models: Package containing the data models for AnomalyDetector.
configuration(Configuration) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder: .
CorrelationChanges - Class in com.azure.ai.anomalydetector.models: Correlation changes among the anomalous variables.
CREATED - Enum constant in enum com.azure.ai.anomalydetector.models.ModelStatus: Enum value CREATED.
CREATED - Enum constant in enum com.azure.ai.anomalydetector.models.MultivariateBatchDetectionStatus: Enum value CREATED.
credential(AzureKeyCredential) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder: .

D

DAILY - Enum constant in enum com.azure.ai.anomalydetector.models.TimeGranularity: Enum value daily.
DataSchema - Class in com.azure.ai.anomalydetector.models: Defines values for DataSchema.
DataSchema() - Constructor for class com.azure.ai.anomalydetector.models.DataSchema
deleteMultivariateModel(String) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Delete Multivariate Model
deleteMultivariateModel(String) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Delete Multivariate Model
deleteMultivariateModelWithResponse(String, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Delete Multivariate Model
deleteMultivariateModelWithResponse(String, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Delete Multivariate Model
detectMultivariateBatchAnomaly(String, MultivariateBatchDetectionOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Detect Multivariate Anomaly
detectMultivariateBatchAnomaly(String, MultivariateBatchDetectionOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Detect Multivariate Anomaly
detectMultivariateBatchAnomalyWithResponse(String, BinaryData, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Detect Multivariate Anomaly
detectMultivariateBatchAnomalyWithResponse(String, BinaryData, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Detect Multivariate Anomaly
detectMultivariateLastAnomaly(String, MultivariateLastDetectionOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Detect anomalies in the last point of the request body
detectMultivariateLastAnomaly(String, MultivariateLastDetectionOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Detect anomalies in the last point of the request body
detectMultivariateLastAnomalyWithResponse(String, BinaryData, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Detect anomalies in the last point of the request body
detectMultivariateLastAnomalyWithResponse(String, BinaryData, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Detect anomalies in the last point of the request body
detectUnivariateChangePoint(UnivariateChangePointDetectionOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Detect change point for the entire series
detectUnivariateChangePoint(UnivariateChangePointDetectionOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Detect change point for the entire series
detectUnivariateChangePointWithResponse(BinaryData, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Detect change point for the entire series
detectUnivariateChangePointWithResponse(BinaryData, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Detect change point for the entire series
detectUnivariateEntireSeries(UnivariateDetectionOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Detect anomalies for the entire series in batch.
detectUnivariateEntireSeries(UnivariateDetectionOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Detect anomalies for the entire series in batch.
detectUnivariateEntireSeriesWithResponse(BinaryData, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Detect anomalies for the entire series in batch.
detectUnivariateEntireSeriesWithResponse(BinaryData, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Detect anomalies for the entire series in batch.
detectUnivariateLastPoint(UnivariateDetectionOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Detect anomaly status of the latest point in time series.
detectUnivariateLastPoint(UnivariateDetectionOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Detect anomaly status of the latest point in time series.
detectUnivariateLastPointWithResponse(BinaryData, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Detect anomaly status of the latest point in time series.
detectUnivariateLastPointWithResponse(BinaryData, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Detect anomaly status of the latest point in time series.
DiagnosticsInfo - Class in com.azure.ai.anomalydetector.models: Diagnostics information to help inspect the states of model or variable.
DiagnosticsInfo() - Constructor for class com.azure.ai.anomalydetector.models.DiagnosticsInfo: Creates an instance of DiagnosticsInfo class.

E

endpoint(String) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder: .
ErrorResponse - Class in com.azure.ai.anomalydetector.models: ErrorResponse contains code and message that shows the error information.
ErrorResponse(String, String) - Constructor for class com.azure.ai.anomalydetector.models.ErrorResponse: Creates an instance of ErrorResponse class.

F

FAILED - Enum constant in enum com.azure.ai.anomalydetector.models.ModelStatus: Enum value FAILED.
FAILED - Enum constant in enum com.azure.ai.anomalydetector.models.MultivariateBatchDetectionStatus: Enum value FAILED.
FillNAMethod - Class in com.azure.ai.anomalydetector.models: Defines values for FillNAMethod.
FillNAMethod() - Constructor for class com.azure.ai.anomalydetector.models.FillNAMethod
FIXED - Static variable in class com.azure.ai.anomalydetector.models.FillNAMethod: Static value Fixed for FillNAMethod.
FIXED - Static variable in class com.azure.ai.anomalydetector.models.ImputeMode: Static value fixed for ImputeMode.
fromString(String) - Static method in enum com.azure.ai.anomalydetector.models.AlignMode: Parses a serialized value to a AlignMode instance.
fromString(String) - Static method in class com.azure.ai.anomalydetector.models.DataSchema: Creates or finds a DataSchema from its string representation.
fromString(String) - Static method in class com.azure.ai.anomalydetector.models.FillNAMethod: Creates or finds a FillNAMethod from its string representation.
fromString(String) - Static method in class com.azure.ai.anomalydetector.models.ImputeMode: Creates or finds a ImputeMode from its string representation.
fromString(String) - Static method in enum com.azure.ai.anomalydetector.models.ModelStatus: Parses a serialized value to a ModelStatus instance.
fromString(String) - Static method in enum com.azure.ai.anomalydetector.models.MultivariateBatchDetectionStatus: Parses a serialized value to a MultivariateBatchDetectionStatus instance.
fromString(String) - Static method in enum com.azure.ai.anomalydetector.models.TimeGranularity: Parses a serialized value to a TimeGranularity instance.

G

getAlignMode() - Method in class com.azure.ai.anomalydetector.models.AlignPolicy: Get the alignMode property: An optional field, indicating how to align different variables to the same time-range.
getAlignPolicy() - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Get the alignPolicy property: An optional field, indicating the manner to align multiple variables.
getChangedVariables() - Method in class com.azure.ai.anomalydetector.models.CorrelationChanges: Get the changedVariables property: The correlated variables that have correlation changes under an anomaly.
getCode() - Method in class com.azure.ai.anomalydetector.models.ErrorResponse: Get the code property: The error code.
getConfidenceScores() - Method in class com.azure.ai.anomalydetector.models.UnivariateChangePointDetectionResult: Get the confidenceScores property: the change point confidence of each point.
getContributionScore() - Method in class com.azure.ai.anomalydetector.models.AnomalyInterpretation: Get the contributionScore property: This score shows the percentage contributing to the anomalous timestamp.
getCorrelationChanges() - Method in class com.azure.ai.anomalydetector.models.AnomalyInterpretation: Get the correlationChanges property: Correlation changes among the anomalous variables.
getCreatedTime() - Method in class com.azure.ai.anomalydetector.models.AnomalyDetectionModel: Get the createdTime property: Date and time (UTC) when the model was created.
getCustomInterval() - Method in class com.azure.ai.anomalydetector.models.UnivariateChangePointDetectionOptions: Get the customInterval property: Custom Interval is used to set non-standard time interval, for example, if the series is 5 minutes, request can be set as {"granularity":"minutely", "customInterval":5}.
getCustomInterval() - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Get the customInterval property: Custom Interval is used to set non-standard time interval, for example, if the series is 5 minutes, request can be set as {"granularity":"minutely", "customInterval":5}.
getDataSchema() - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Get the dataSchema property: Data schema of input data source: OneTable or MultiTable.
getDataSource() - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Get the dataSource property: Source link to the input data to indicate an accessible Azure storage Uri, either pointed to an Azure blob storage folder, or pointed to a CSV file in Azure blob storage based on you data schema selection.
getDataSource() - Method in class com.azure.ai.anomalydetector.models.MultivariateBatchDetectionOptions: Get the dataSource property: Source link to the input data to indicate an accessible Azure storage Uri, either pointed to an Azure blob storage folder, or pointed to a CSV file in Azure blob storage based on you data schema selection.
getDiagnosticsInfo() - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Get the diagnosticsInfo property: Diagnostics information to help inspect the states of model or variable.
getDisplayName() - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Get the displayName property: An optional field.
getEffectiveCount() - Method in class com.azure.ai.anomalydetector.models.VariableState: Get the effectiveCount property: Number of effective data points before applying fillNAMethod.
getEndTime() - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Get the endTime property: A required field, indicating the end time of training data, which should be date-time of ISO 8601 format.
getEndTime() - Method in class com.azure.ai.anomalydetector.models.MultivariateBatchDetectionOptions: Get the endTime property: A required field, indicating the end time of data for detection, which should be date-time of ISO 8601 format.
getEpochIds() - Method in class com.azure.ai.anomalydetector.models.ModelState: Get the epochIds property: This indicates the number of passes of the entire training dataset the algorithm has completed.
getErrors() - Method in class com.azure.ai.anomalydetector.models.AnomalyState: Get the errors property: Error message for the current timestamp.
getErrors() - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Get the errors property: Error messages when failed to create a model.
getErrors() - Method in class com.azure.ai.anomalydetector.models.MultivariateBatchDetectionResultSummary: Get the errors property: Error message when detection is failed.
getExpectedValue() - Method in class com.azure.ai.anomalydetector.models.UnivariateLastDetectionResult: Get the expectedValue property: Expected value of the latest point.
getExpectedValues() - Method in class com.azure.ai.anomalydetector.models.UnivariateEntireDetectionResult: Get the expectedValues property: ExpectedValues contain expected value for each input point.
getFilledNARatio() - Method in class com.azure.ai.anomalydetector.models.VariableState: Get the filledNARatio property: Proportion of missing values that need to be filled by fillNAMethod.
getFillNAMethod() - Method in class com.azure.ai.anomalydetector.models.AlignPolicy: Get the fillNAMethod property: An optional field, indicating how missing values will be filled.
getFirstTimestamp() - Method in class com.azure.ai.anomalydetector.models.VariableState: Get the firstTimestamp property: First valid timestamp with value of input data.
getGranularity() - Method in class com.azure.ai.anomalydetector.models.UnivariateChangePointDetectionOptions: Get the granularity property: Can only be one of yearly, monthly, weekly, daily, hourly, minutely or secondly.
getGranularity() - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Get the granularity property: Optional argument, can be one of yearly, monthly, weekly, daily, hourly, minutely, secondly, microsecond or none.
getImputeFixedValue() - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Get the imputeFixedValue property: Used to specify the value to fill, it's used when granularity is not "none" and imputeMode is "fixed".
getImputeMode() - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Get the imputeMode property: Used to specify how to deal with missing values in the input series, it's used when granularity is not "none".
getInterpretation() - Method in class com.azure.ai.anomalydetector.models.AnomalyValue: Get the interpretation property: Interpretation of this anomalous timestamp.
getIsAnomaly() - Method in class com.azure.ai.anomalydetector.models.UnivariateEntireDetectionResult: Get the isAnomaly property: IsAnomaly contains anomaly properties for each input point.
getIsChangePoint() - Method in class com.azure.ai.anomalydetector.models.UnivariateChangePointDetectionResult: Get the isChangePoint property: isChangePoint contains change point properties for each input point.
getIsNegativeAnomaly() - Method in class com.azure.ai.anomalydetector.models.UnivariateEntireDetectionResult: Get the isNegativeAnomaly property: IsNegativeAnomaly contains anomaly status in negative direction for each input point.
getIsPositiveAnomaly() - Method in class com.azure.ai.anomalydetector.models.UnivariateEntireDetectionResult: Get the isPositiveAnomaly property: IsPositiveAnomaly contain anomaly status in positive direction for each input point.
getLastTimestamp() - Method in class com.azure.ai.anomalydetector.models.VariableState: Get the lastTimestamp property: Last valid timestamp with value of input data.
getLastUpdatedTime() - Method in class com.azure.ai.anomalydetector.models.AnomalyDetectionModel: Get the lastUpdatedTime property: Date and time (UTC) when the model was last updated.
getLatenciesInSeconds() - Method in class com.azure.ai.anomalydetector.models.ModelState: Get the latenciesInSeconds property: Latency for each epoch.
getLatest() - Static method in enum com.azure.ai.anomalydetector.AnomalyDetectorServiceVersion: Gets the latest service version supported by this client library.
getLowerMargin() - Method in class com.azure.ai.anomalydetector.models.UnivariateLastDetectionResult: Get the lowerMargin property: Lower margin of the latest point.
getLowerMargins() - Method in class com.azure.ai.anomalydetector.models.UnivariateEntireDetectionResult: Get the lowerMargins property: LowerMargins contain lower margin of each input point.
getMaxAnomalyRatio() - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Get the maxAnomalyRatio property: Optional argument, advanced model parameter, max anomaly ratio in a time series.
getMessage() - Method in class com.azure.ai.anomalydetector.models.ErrorResponse: Get the message property: The message explaining the error reported by the service.
getModelId() - Method in class com.azure.ai.anomalydetector.models.AnomalyDetectionModel: Get the modelId property: Model identifier.
getModelInfo() - Method in class com.azure.ai.anomalydetector.models.AnomalyDetectionModel: Get the modelInfo property: Training result of a model including its status, errors and diagnostics information.
getModelState() - Method in class com.azure.ai.anomalydetector.models.DiagnosticsInfo: Get the modelState property: Model status.
getMultivariateBatchDetectionResult(String) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Get Multivariate Anomaly Detection Result
getMultivariateBatchDetectionResult(String) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Get Multivariate Anomaly Detection Result
getMultivariateBatchDetectionResultWithResponse(String, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Get Multivariate Anomaly Detection Result
getMultivariateBatchDetectionResultWithResponse(String, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Get Multivariate Anomaly Detection Result
getMultivariateModel(String) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Get Multivariate Model
getMultivariateModel(String) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Get Multivariate Model
getMultivariateModelWithResponse(String, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Get Multivariate Model
getMultivariateModelWithResponse(String, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Get Multivariate Model
getPaddingValue() - Method in class com.azure.ai.anomalydetector.models.AlignPolicy: Get the paddingValue property: An optional field.
getPeriod() - Method in class com.azure.ai.anomalydetector.models.UnivariateChangePointDetectionOptions: Get the period property: Optional argument, periodic value of a time series.
getPeriod() - Method in class com.azure.ai.anomalydetector.models.UnivariateChangePointDetectionResult: Get the period property: Frequency extracted from the series, zero means no recurrent pattern has been found.
getPeriod() - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Get the period property: Optional argument, periodic value of a time series.
getPeriod() - Method in class com.azure.ai.anomalydetector.models.UnivariateEntireDetectionResult: Get the period property: Frequency extracted from the series, zero means no recurrent pattern has been found.
getPeriod() - Method in class com.azure.ai.anomalydetector.models.UnivariateLastDetectionResult: Get the period property: Frequency extracted from the series, zero means no recurrent pattern has been found.
getResultId() - Method in class com.azure.ai.anomalydetector.models.MultivariateDetectionResult: Get the resultId property: Result identifier, which is used to fetch the results of an inference call.
getResults() - Method in class com.azure.ai.anomalydetector.models.MultivariateDetectionResult: Get the results property: Detection result for each timestamp.
getResults() - Method in class com.azure.ai.anomalydetector.models.MultivariateLastDetectionResult: Get the results property: Anomaly status and information.
getScore() - Method in class com.azure.ai.anomalydetector.models.AnomalyValue: Get the score property: Raw anomaly score of severity, will help indicate the degree of abnormality as well.
getSensitivity() - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Get the sensitivity property: Optional argument, advanced model parameter, between 0-99, the lower the value is, the larger the margin value will be which means less anomalies will be accepted.
getSeries() - Method in class com.azure.ai.anomalydetector.models.UnivariateChangePointDetectionOptions: Get the series property: Time series data points.
getSeries() - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Get the series property: Time series data points.
getSetupInfo() - Method in class com.azure.ai.anomalydetector.models.MultivariateBatchDetectionResultSummary: Get the setupInfo property: Detection request for batch inference.
getSeverity() - Method in class com.azure.ai.anomalydetector.models.AnomalyValue: Get the severity property: Indicates the significance of the anomaly.
getSeverity() - Method in class com.azure.ai.anomalydetector.models.UnivariateEntireDetectionResult: Get the severity property: The severity score for each input point.
getSeverity() - Method in class com.azure.ai.anomalydetector.models.UnivariateLastDetectionResult: Get the severity property: The severity score for the last input point.
getSlidingWindow() - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Get the slidingWindow property: An optional field, indicating how many previous timestamps will be used to detect whether the timestamp is anomaly or not.
getStableTrendWindow() - Method in class com.azure.ai.anomalydetector.models.UnivariateChangePointDetectionOptions: Get the stableTrendWindow property: Optional argument, advanced model parameter, a default stableTrendWindow will be used in detection.
getStartTime() - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Get the startTime property: A required field, indicating the start time of training data, which should be date-time of ISO 8601 format.
getStartTime() - Method in class com.azure.ai.anomalydetector.models.MultivariateBatchDetectionOptions: Get the startTime property: A required field, indicating the start time of data for detection, which should be date-time of ISO 8601 format.
getStatus() - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Get the status property: Model status.
getStatus() - Method in class com.azure.ai.anomalydetector.models.MultivariateBatchDetectionResultSummary: Get the status property: Status of detection results.
getSuggestedWindow() - Method in class com.azure.ai.anomalydetector.models.UnivariateLastDetectionResult: Get the suggestedWindow property: Suggested input series points needed for detecting the latest point.
getSummary() - Method in class com.azure.ai.anomalydetector.models.MultivariateDetectionResult: Get the summary property: Multivariate anomaly detection status.
getThreshold() - Method in class com.azure.ai.anomalydetector.models.UnivariateChangePointDetectionOptions: Get the threshold property: Optional argument, advanced model parameter, between 0.0-1.0, the lower the value is, the larger the trend error will be which means less change point will be accepted.
getTimestamp() - Method in class com.azure.ai.anomalydetector.models.AnomalyState: Get the timestamp property: The timestamp for this anomaly.
getTimestamp() - Method in class com.azure.ai.anomalydetector.models.TimeSeriesPoint: Get the timestamp property: Optional argument, timestamp of a data point (ISO8601 format).
getTimestamps() - Method in class com.azure.ai.anomalydetector.models.VariableValues: Get the timestamps property: Timestamps of last detection request.
getTopContributorCount() - Method in class com.azure.ai.anomalydetector.models.MultivariateBatchDetectionOptions: Get the topContributorCount property: An optional field, which is used to specify the number of top contributed variables for one anomalous timestamp in the response.
getTopContributorCount() - Method in class com.azure.ai.anomalydetector.models.MultivariateLastDetectionOptions: Get the topContributorCount property: An optional field, which is used to specify the number of top contributed variables for one anomalous timestamp in the response.
getTrainLosses() - Method in class com.azure.ai.anomalydetector.models.ModelState: Get the trainLosses property: List of metrics used to assess how the model fits the training data for each epoch.
getUpperMargin() - Method in class com.azure.ai.anomalydetector.models.UnivariateLastDetectionResult: Get the upperMargin property: Upper margin of the latest point.
getUpperMargins() - Method in class com.azure.ai.anomalydetector.models.UnivariateEntireDetectionResult: Get the upperMargins property: UpperMargins contain upper margin of each input point.
getValidationLosses() - Method in class com.azure.ai.anomalydetector.models.ModelState: Get the validationLosses property: List of metrics used to assess how the model fits the validation set for each epoch.
getValue() - Method in class com.azure.ai.anomalydetector.models.AnomalyState: Get the value property: The detailed value of this anomalous timestamp.
getValue() - Method in class com.azure.ai.anomalydetector.models.TimeSeriesPoint: Get the value property: The measurement of that point, should be float.
getValues() - Method in class com.azure.ai.anomalydetector.models.VariableValues: Get the values property: Values of variables.
getVariable() - Method in class com.azure.ai.anomalydetector.models.AnomalyInterpretation: Get the variable property: Variable.
getVariable() - Method in class com.azure.ai.anomalydetector.models.VariableState: Get the variable property: Variable name in variable states.
getVariable() - Method in class com.azure.ai.anomalydetector.models.VariableValues: Get the variable property: Variable name of last detection request.
getVariables() - Method in class com.azure.ai.anomalydetector.models.MultivariateLastDetectionOptions: Get the variables property: This contains the inference data, including the name, timestamps(ISO 8601) and values of variables.
getVariableStates() - Method in class com.azure.ai.anomalydetector.models.DiagnosticsInfo: Get the variableStates property: Variable Status.
getVariableStates() - Method in class com.azure.ai.anomalydetector.models.MultivariateBatchDetectionResultSummary: Get the variableStates property: Variable Status.
getVariableStates() - Method in class com.azure.ai.anomalydetector.models.MultivariateLastDetectionResult: Get the variableStates property: Variable Status.
getVersion() - Method in enum com.azure.ai.anomalydetector.AnomalyDetectorServiceVersion

H

HOURLY - Enum constant in enum com.azure.ai.anomalydetector.models.TimeGranularity: Enum value hourly.
httpClient(HttpClient) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder: .
httpLogOptions(HttpLogOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder: .

I

ImputeMode - Class in com.azure.ai.anomalydetector.models: Defines values for ImputeMode.
ImputeMode() - Constructor for class com.azure.ai.anomalydetector.models.ImputeMode
INNER - Enum constant in enum com.azure.ai.anomalydetector.models.AlignMode: Enum value Inner.
isAnomaly() - Method in class com.azure.ai.anomalydetector.models.AnomalyValue: Get the isAnomaly property: True if an anomaly is detected at the current timestamp.
isAnomaly() - Method in class com.azure.ai.anomalydetector.models.UnivariateLastDetectionResult: Get the isAnomaly property: Anomaly status of the latest point, true means the latest point is an anomaly either in negative direction or positive direction.
isNegativeAnomaly() - Method in class com.azure.ai.anomalydetector.models.UnivariateLastDetectionResult: Get the isNegativeAnomaly property: Anomaly status in negative direction of the latest point.
isPositiveAnomaly() - Method in class com.azure.ai.anomalydetector.models.UnivariateLastDetectionResult: Get the isPositiveAnomaly property: Anomaly status in positive direction of the latest point.

L

LINEAR - Static variable in class com.azure.ai.anomalydetector.models.FillNAMethod: Static value Linear for FillNAMethod.
LINEAR - Static variable in class com.azure.ai.anomalydetector.models.ImputeMode: Static value linear for ImputeMode.
listMultivariateModels() - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: List Multivariate Models
listMultivariateModels() - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: List Multivariate Models
listMultivariateModels(RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: List Multivariate Models
listMultivariateModels(RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: List Multivariate Models

M

MICROSECOND - Enum constant in enum com.azure.ai.anomalydetector.models.TimeGranularity: Enum value microsecond.
ModelInfo - Class in com.azure.ai.anomalydetector.models: Training result of a model including its status, errors and diagnostics information.
ModelInfo(String, OffsetDateTime, OffsetDateTime) - Constructor for class com.azure.ai.anomalydetector.models.ModelInfo: Creates an instance of ModelInfo class.
ModelState - Class in com.azure.ai.anomalydetector.models: Model status.
ModelState() - Constructor for class com.azure.ai.anomalydetector.models.ModelState: Creates an instance of ModelState class.
ModelStatus - Enum in com.azure.ai.anomalydetector.models: Defines values for ModelStatus.
MONTHLY - Enum constant in enum com.azure.ai.anomalydetector.models.TimeGranularity: Enum value monthly.
MULTI_TABLE - Static variable in class com.azure.ai.anomalydetector.models.DataSchema: Static value MultiTable for DataSchema.
MultivariateBatchDetectionOptions - Class in com.azure.ai.anomalydetector.models: Detection request for batch inference.
MultivariateBatchDetectionOptions(String, int, OffsetDateTime, OffsetDateTime) - Constructor for class com.azure.ai.anomalydetector.models.MultivariateBatchDetectionOptions: Creates an instance of MultivariateBatchDetectionOptions class.
MultivariateBatchDetectionResultSummary - Class in com.azure.ai.anomalydetector.models: Multivariate anomaly detection status.
MultivariateBatchDetectionStatus - Enum in com.azure.ai.anomalydetector.models: Defines values for MultivariateBatchDetectionStatus.
MultivariateDetectionResult - Class in com.azure.ai.anomalydetector.models: Detection results for the given resultId.
MultivariateLastDetectionOptions - Class in com.azure.ai.anomalydetector.models: Request of last detection.
MultivariateLastDetectionOptions(List<VariableValues>, int) - Constructor for class com.azure.ai.anomalydetector.models.MultivariateLastDetectionOptions: Creates an instance of MultivariateLastDetectionOptions class.
MultivariateLastDetectionResult - Class in com.azure.ai.anomalydetector.models: Results of last detection.

N

NONE - Enum constant in enum com.azure.ai.anomalydetector.models.TimeGranularity: Enum value none.
NOT_FILL - Static variable in class com.azure.ai.anomalydetector.models.ImputeMode: Static value notFill for ImputeMode.

O

ONE_TABLE - Static variable in class com.azure.ai.anomalydetector.models.DataSchema: Static value OneTable for DataSchema.
OUTER - Enum constant in enum com.azure.ai.anomalydetector.models.AlignMode: Enum value Outer.

P

PER_MINUTE - Enum constant in enum com.azure.ai.anomalydetector.models.TimeGranularity: Enum value minutely.
PER_SECOND - Enum constant in enum com.azure.ai.anomalydetector.models.TimeGranularity: Enum value secondly.
pipeline(HttpPipeline) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder: .
PREVIOUS - Static variable in class com.azure.ai.anomalydetector.models.FillNAMethod: Static value Previous for FillNAMethod.
PREVIOUS - Static variable in class com.azure.ai.anomalydetector.models.ImputeMode: Static value previous for ImputeMode.

R

READY - Enum constant in enum com.azure.ai.anomalydetector.models.ModelStatus: Enum value READY.
READY - Enum constant in enum com.azure.ai.anomalydetector.models.MultivariateBatchDetectionStatus: Enum value READY.
retryOptions(RetryOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder: .
retryPolicy(RetryPolicy) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder: Sets The retry policy that will attempt to retry failed requests, if applicable.
RUNNING - Enum constant in enum com.azure.ai.anomalydetector.models.ModelStatus: Enum value RUNNING.
RUNNING - Enum constant in enum com.azure.ai.anomalydetector.models.MultivariateBatchDetectionStatus: Enum value RUNNING.

S

serviceVersion(AnomalyDetectorServiceVersion) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClientBuilder: Sets Service version.
setAlignMode(AlignMode) - Method in class com.azure.ai.anomalydetector.models.AlignPolicy: Set the alignMode property: An optional field, indicating how to align different variables to the same time-range.
setAlignPolicy(AlignPolicy) - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Set the alignPolicy property: An optional field, indicating the manner to align multiple variables.
setCustomInterval(Integer) - Method in class com.azure.ai.anomalydetector.models.UnivariateChangePointDetectionOptions: Set the customInterval property: Custom Interval is used to set non-standard time interval, for example, if the series is 5 minutes, request can be set as {"granularity":"minutely", "customInterval":5}.
setCustomInterval(Integer) - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Set the customInterval property: Custom Interval is used to set non-standard time interval, for example, if the series is 5 minutes, request can be set as {"granularity":"minutely", "customInterval":5}.
setDataSchema(DataSchema) - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Set the dataSchema property: Data schema of input data source: OneTable or MultiTable.
setDiagnosticsInfo(DiagnosticsInfo) - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Set the diagnosticsInfo property: Diagnostics information to help inspect the states of model or variable.
setDisplayName(String) - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Set the displayName property: An optional field.
setEffectiveCount(Integer) - Method in class com.azure.ai.anomalydetector.models.VariableState: Set the effectiveCount property: Number of effective data points before applying fillNAMethod.
setEpochIds(List<Integer>) - Method in class com.azure.ai.anomalydetector.models.ModelState: Set the epochIds property: This indicates the number of passes of the entire training dataset the algorithm has completed.
setFilledNARatio(Double) - Method in class com.azure.ai.anomalydetector.models.VariableState: Set the filledNARatio property: Proportion of missing values that need to be filled by fillNAMethod.
setFillNAMethod(FillNAMethod) - Method in class com.azure.ai.anomalydetector.models.AlignPolicy: Set the fillNAMethod property: An optional field, indicating how missing values will be filled.
setFirstTimestamp(OffsetDateTime) - Method in class com.azure.ai.anomalydetector.models.VariableState: Set the firstTimestamp property: First valid timestamp with value of input data.
setGranularity(TimeGranularity) - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Set the granularity property: Optional argument, can be one of yearly, monthly, weekly, daily, hourly, minutely, secondly, microsecond or none.
setImputeFixedValue(Double) - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Set the imputeFixedValue property: Used to specify the value to fill, it's used when granularity is not "none" and imputeMode is "fixed".
setImputeMode(ImputeMode) - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Set the imputeMode property: Used to specify how to deal with missing values in the input series, it's used when granularity is not "none".
setLastTimestamp(OffsetDateTime) - Method in class com.azure.ai.anomalydetector.models.VariableState: Set the lastTimestamp property: Last valid timestamp with value of input data.
setLatenciesInSeconds(List<Double>) - Method in class com.azure.ai.anomalydetector.models.ModelState: Set the latenciesInSeconds property: Latency for each epoch.
setMaxAnomalyRatio(Double) - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Set the maxAnomalyRatio property: Optional argument, advanced model parameter, max anomaly ratio in a time series.
setModelState(ModelState) - Method in class com.azure.ai.anomalydetector.models.DiagnosticsInfo: Set the modelState property: Model status.
setPaddingValue(Double) - Method in class com.azure.ai.anomalydetector.models.AlignPolicy: Set the paddingValue property: An optional field.
setPeriod(Integer) - Method in class com.azure.ai.anomalydetector.models.UnivariateChangePointDetectionOptions: Set the period property: Optional argument, periodic value of a time series.
setPeriod(Integer) - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Set the period property: Optional argument, periodic value of a time series.
setSensitivity(Integer) - Method in class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Set the sensitivity property: Optional argument, advanced model parameter, between 0-99, the lower the value is, the larger the margin value will be which means less anomalies will be accepted.
setSlidingWindow(Integer) - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Set the slidingWindow property: An optional field, indicating how many previous timestamps will be used to detect whether the timestamp is anomaly or not.
setStableTrendWindow(Integer) - Method in class com.azure.ai.anomalydetector.models.UnivariateChangePointDetectionOptions: Set the stableTrendWindow property: Optional argument, advanced model parameter, a default stableTrendWindow will be used in detection.
setStatus(ModelStatus) - Method in class com.azure.ai.anomalydetector.models.ModelInfo: Set the status property: Model status.
setThreshold(Double) - Method in class com.azure.ai.anomalydetector.models.UnivariateChangePointDetectionOptions: Set the threshold property: Optional argument, advanced model parameter, between 0.0-1.0, the lower the value is, the larger the trend error will be which means less change point will be accepted.
setTimestamp(OffsetDateTime) - Method in class com.azure.ai.anomalydetector.models.TimeSeriesPoint: Set the timestamp property: Optional argument, timestamp of a data point (ISO8601 format).
setTrainLosses(List<Double>) - Method in class com.azure.ai.anomalydetector.models.ModelState: Set the trainLosses property: List of metrics used to assess how the model fits the training data for each epoch.
setValidationLosses(List<Double>) - Method in class com.azure.ai.anomalydetector.models.ModelState: Set the validationLosses property: List of metrics used to assess how the model fits the validation set for each epoch.
setVariable(String) - Method in class com.azure.ai.anomalydetector.models.VariableState: Set the variable property: Variable name in variable states.
setVariableStates(List<VariableState>) - Method in class com.azure.ai.anomalydetector.models.DiagnosticsInfo: Set the variableStates property: Variable Status.
SUBSEQUENT - Static variable in class com.azure.ai.anomalydetector.models.FillNAMethod: Static value Subsequent for FillNAMethod.

T

TimeGranularity - Enum in com.azure.ai.anomalydetector.models: Defines values for TimeGranularity.
TimeSeriesPoint - Class in com.azure.ai.anomalydetector.models: The definition of input timeseries points.
TimeSeriesPoint(double) - Constructor for class com.azure.ai.anomalydetector.models.TimeSeriesPoint: Creates an instance of TimeSeriesPoint class.
toString() - Method in enum com.azure.ai.anomalydetector.models.AlignMode
toString() - Method in enum com.azure.ai.anomalydetector.models.ModelStatus
toString() - Method in enum com.azure.ai.anomalydetector.models.MultivariateBatchDetectionStatus
toString() - Method in enum com.azure.ai.anomalydetector.models.TimeGranularity
trainMultivariateModel(ModelInfo) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Train a Multivariate Anomaly Detection Model
trainMultivariateModel(ModelInfo) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Train a Multivariate Anomaly Detection Model
trainMultivariateModelWithResponse(BinaryData, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorAsyncClient: Train a Multivariate Anomaly Detection Model
trainMultivariateModelWithResponse(BinaryData, RequestOptions) - Method in class com.azure.ai.anomalydetector.AnomalyDetectorClient: Train a Multivariate Anomaly Detection Model

U

UnivariateChangePointDetectionOptions - Class in com.azure.ai.anomalydetector.models: The request of change point detection.
UnivariateChangePointDetectionOptions(List<TimeSeriesPoint>, TimeGranularity) - Constructor for class com.azure.ai.anomalydetector.models.UnivariateChangePointDetectionOptions: Creates an instance of UnivariateChangePointDetectionOptions class.
UnivariateChangePointDetectionResult - Class in com.azure.ai.anomalydetector.models: The response of change point detection.
UnivariateDetectionOptions - Class in com.azure.ai.anomalydetector.models: The request of entire or last anomaly detection.
UnivariateDetectionOptions(List<TimeSeriesPoint>) - Constructor for class com.azure.ai.anomalydetector.models.UnivariateDetectionOptions: Creates an instance of UnivariateDetectionOptions class.
UnivariateEntireDetectionResult - Class in com.azure.ai.anomalydetector.models: The response of entire anomaly detection.
UnivariateLastDetectionResult - Class in com.azure.ai.anomalydetector.models: The response of last anomaly detection.

V

V1_1 - Enum constant in enum com.azure.ai.anomalydetector.AnomalyDetectorServiceVersion: Enum value v1.1.
valueOf(String) - Static method in enum com.azure.ai.anomalydetector.AnomalyDetectorServiceVersion: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.azure.ai.anomalydetector.models.AlignMode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.azure.ai.anomalydetector.models.ModelStatus: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.azure.ai.anomalydetector.models.MultivariateBatchDetectionStatus: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.azure.ai.anomalydetector.models.TimeGranularity: Returns the enum constant of this type with the specified name.
values() - Static method in enum com.azure.ai.anomalydetector.AnomalyDetectorServiceVersion: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.azure.ai.anomalydetector.models.AlignMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in class com.azure.ai.anomalydetector.models.DataSchema: Gets known DataSchema values.
values() - Static method in class com.azure.ai.anomalydetector.models.FillNAMethod: Gets known FillNAMethod values.
values() - Static method in class com.azure.ai.anomalydetector.models.ImputeMode: Gets known ImputeMode values.
values() - Static method in enum com.azure.ai.anomalydetector.models.ModelStatus: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.azure.ai.anomalydetector.models.MultivariateBatchDetectionStatus: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.azure.ai.anomalydetector.models.TimeGranularity: Returns an array containing the constants of this enum type, in the order they are declared.
VariableState - Class in com.azure.ai.anomalydetector.models: Variable Status.
VariableState() - Constructor for class com.azure.ai.anomalydetector.models.VariableState: Creates an instance of VariableState class.
VariableValues - Class in com.azure.ai.anomalydetector.models: Variable values.
VariableValues(String, List<String>, List<Double>) - Constructor for class com.azure.ai.anomalydetector.models.VariableValues: Creates an instance of VariableValues class.

W

WEEKLY - Enum constant in enum com.azure.ai.anomalydetector.models.TimeGranularity: Enum value weekly.

Y

YEARLY - Enum constant in enum com.azure.ai.anomalydetector.models.TimeGranularity: Enum value yearly.

Z

ZERO - Static variable in class com.azure.ai.anomalydetector.models.FillNAMethod: Static value Zero for FillNAMethod.
ZERO - Static variable in class com.azure.ai.anomalydetector.models.ImputeMode: Static value zero for ImputeMode.

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