public final class ModelInfo extends Object
Constructor and Description |
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ModelInfo() |
Modifier and Type | Method and Description |
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AlignPolicy |
getAlignPolicy()
Get the alignPolicy property: An optional field, since those multivariate need to be aligned in the same
timestamp before starting the detection.
|
DiagnosticsInfo |
getDiagnosticsInfo()
Get the diagnosticsInfo property: Used for deep analysis model and variables.
|
String |
getDisplayName()
Get the displayName property: optional field, name of the model.
|
OffsetDateTime |
getEndTime()
Get the endTime property: require field, end time of data be used for generating multivariate anomaly detection
model, should be data-time.
|
List<ErrorResponse> |
getErrors()
Get the errors property: Error message when fails to create a model.
|
Integer |
getSlidingWindow()
Get the slidingWindow property: An optional field, indicates how many history points will be used to determine
the anomaly score of one subsequent point.
|
String |
getSource()
Get the source property: source file link of the input variables, each variable will be a csv with two columns,
the first column will be timestamp, the second column will be value.Besides these variable csv files, an extra
meta.json can be included in th zip file if you would like to rename a variable.Be default, the file name of the
variable will be used as the variable name.
|
OffsetDateTime |
getStartTime()
Get the startTime property: require field, start time of data be used for generating multivariate anomaly
detection model, should be data-time.
|
ModelStatus |
getStatus()
Get the status property: Model training status.
|
ModelInfo |
setAlignPolicy(AlignPolicy alignPolicy)
Set the alignPolicy property: An optional field, since those multivariate need to be aligned in the same
timestamp before starting the detection.
|
ModelInfo |
setDisplayName(String displayName)
Set the displayName property: optional field, name of the model.
|
ModelInfo |
setEndTime(OffsetDateTime endTime)
Set the endTime property: require field, end time of data be used for generating multivariate anomaly detection
model, should be data-time.
|
ModelInfo |
setSlidingWindow(Integer slidingWindow)
Set the slidingWindow property: An optional field, indicates how many history points will be used to determine
the anomaly score of one subsequent point.
|
ModelInfo |
setSource(String source)
Set the source property: source file link of the input variables, each variable will be a csv with two columns,
the first column will be timestamp, the second column will be value.Besides these variable csv files, an extra
meta.json can be included in th zip file if you would like to rename a variable.Be default, the file name of the
variable will be used as the variable name.
|
ModelInfo |
setStartTime(OffsetDateTime startTime)
Set the startTime property: require field, start time of data be used for generating multivariate anomaly
detection model, should be data-time.
|
public Integer getSlidingWindow()
public ModelInfo setSlidingWindow(Integer slidingWindow)
slidingWindow
- the slidingWindow value to set.public AlignPolicy getAlignPolicy()
public ModelInfo setAlignPolicy(AlignPolicy alignPolicy)
alignPolicy
- the alignPolicy value to set.public String getSource()
public ModelInfo setSource(String source)
source
- the source value to set.public OffsetDateTime getStartTime()
public ModelInfo setStartTime(OffsetDateTime startTime)
startTime
- the startTime value to set.public OffsetDateTime getEndTime()
public ModelInfo setEndTime(OffsetDateTime endTime)
endTime
- the endTime value to set.public String getDisplayName()
public ModelInfo setDisplayName(String displayName)
displayName
- the displayName value to set.public ModelStatus getStatus()
public List<ErrorResponse> getErrors()
public DiagnosticsInfo getDiagnosticsInfo()
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