azure.ai.anomalydetector.models.ModelInfo.yml

### YamlMime:PythonClass
uid: azure.ai.anomalydetector.models.ModelInfo
name: ModelInfo
fullName: azure.ai.anomalydetector.models.ModelInfo
module: azure.ai.anomalydetector.models
inheritances:
- azure.ai.anomalydetector._model_base.Model
summary: 'Training result of a model including its status, errors and diagnostics

  information.


  Readonly variables are only populated by the server, and will be ignored when sending
  a request.


  All required parameters must be populated in order to send to Azure.'
constructor:
  syntax: 'ModelInfo(*args: Any, **kwargs: Any)'
variables:
- description: '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. Required.'
  name: data_source
  types:
  - <xref:str>
- description: 'Data schema of input data source: OneTable or MultiTable. The default

    DataSchema is OneTable. Known values are: "OneTable" and "MultiTable".'
  name: data_schema
  types:
  - <xref:str>
  - <xref:azure.ai.anomalydetector.models.DataSchema>
- description: 'A required field, indicating the start time of training data, which
    should be

    date-time of ISO 8601 format. Required.'
  name: start_time
  types:
  - <xref:datetime.datetime>
- description: 'A required field, indicating the end time of training data, which
    should be

    date-time of ISO 8601 format. Required.'
  name: end_time
  types:
  - <xref:datetime.datetime>
- description: 'An optional field. The display name of the model whose maximum length
    is 24

    characters.'
  name: display_name
  types:
  - <xref:str>
- description: 'An optional field, indicating how many previous timestamps will be
    used

    to

    detect whether the timestamp is anomaly or not.'
  name: sliding_window
  types:
  - <xref:int>
- description: An optional field, indicating the manner to align multiple variables.
  name: align_policy
  types:
  - <xref:azure.ai.anomalydetector.models.AlignPolicy>
- description: 'Model status. One of CREATED, RUNNING, READY, and FAILED. Known values
    are:

    "CREATED", "RUNNING", "READY", and "FAILED".'
  name: status
  types:
  - <xref:str>
  - <xref:azure.ai.anomalydetector.models.ModelStatus>
- description: Error messages when failed to create a model.
  name: errors
  types:
  - <xref:list>[<xref:azure.ai.anomalydetector.models.ErrorResponse>]
- description: 'Diagnostics information to help inspect the states of model or

    variable.'
  name: diagnostics_info
  types:
  - <xref:azure.ai.anomalydetector.models.DiagnosticsInfo>
methods:
- uid: azure.ai.anomalydetector.models.ModelInfo.clear
  name: clear
  signature: clear() -> None
- uid: azure.ai.anomalydetector.models.ModelInfo.copy
  name: copy
  signature: copy()
- uid: azure.ai.anomalydetector.models.ModelInfo.get
  name: get
  signature: 'get(key: str, default: Any = None) -> Any'
  parameters:
  - name: key
    isRequired: true
  - name: default
    defaultValue: None
- uid: azure.ai.anomalydetector.models.ModelInfo.items
  name: items
  signature: items() -> ItemsView
- uid: azure.ai.anomalydetector.models.ModelInfo.keys
  name: keys
  signature: keys() -> KeysView
- uid: azure.ai.anomalydetector.models.ModelInfo.pop
  name: pop
  signature: 'pop(key: ~typing.Any, default: ~typing.Any = <object object>) -> Any'
  parameters:
  - name: key
    isRequired: true
  - name: default
- uid: azure.ai.anomalydetector.models.ModelInfo.popitem
  name: popitem
  signature: popitem() -> Tuple[str, Any]
- uid: azure.ai.anomalydetector.models.ModelInfo.setdefault
  name: setdefault
  signature: 'setdefault(key: ~typing.Any, default: ~typing.Any = <object object>)
    -> Any'
  parameters:
  - name: key
    isRequired: true
  - name: default
- uid: azure.ai.anomalydetector.models.ModelInfo.update
  name: update
  signature: 'update(*args: Any, **kwargs: Any) -> None'
- uid: azure.ai.anomalydetector.models.ModelInfo.values
  name: values
  signature: values() -> ValuesView
attributes:
- uid: azure.ai.anomalydetector.models.ModelInfo.align_policy
  name: align_policy
  summary: An optional field, indicating the manner to align multiple variables.
  signature: 'align_policy: _models.AlignPolicy | None'
- uid: azure.ai.anomalydetector.models.ModelInfo.data_schema
  name: data_schema
  summary: 'OneTable or MultiTable. The default

    DataSchema is OneTable. Known values are: "OneTable" and "MultiTable".'
  signature: 'data_schema: str | _models.DataSchema | None'
- uid: azure.ai.anomalydetector.models.ModelInfo.data_source
  name: data_source
  summary: '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. Required.'
  signature: 'data_source: str'
- uid: azure.ai.anomalydetector.models.ModelInfo.diagnostics_info
  name: diagnostics_info
  summary: Diagnostics information to help inspect the states of model or variable.
  signature: 'diagnostics_info: _models.DiagnosticsInfo | None'
- uid: azure.ai.anomalydetector.models.ModelInfo.display_name
  name: display_name
  summary: 'An optional field. The display name of the model whose maximum length
    is 24

    characters.'
  signature: 'display_name: str | None'
- uid: azure.ai.anomalydetector.models.ModelInfo.end_time
  name: end_time
  summary: 'A required field, indicating the end time of training data, which should
    be

    date-time of ISO 8601 format. Required.'
  signature: 'end_time: datetime'
- uid: azure.ai.anomalydetector.models.ModelInfo.errors
  name: errors
  summary: Error messages when failed to create a model.
  signature: 'errors: List[_models.ErrorResponse] | None'
- uid: azure.ai.anomalydetector.models.ModelInfo.sliding_window
  name: sliding_window
  summary: 'An optional field, indicating how many previous timestamps will be used
    to

    detect whether the timestamp is anomaly or not.'
  signature: 'sliding_window: int | None'
- uid: azure.ai.anomalydetector.models.ModelInfo.start_time
  name: start_time
  summary: 'A required field, indicating the start time of training data, which should
    be

    date-time of ISO 8601 format. Required.'
  signature: 'start_time: datetime'
- uid: azure.ai.anomalydetector.models.ModelInfo.status
  name: status
  summary: '"CREATED", "RUNNING", "READY", and "FAILED".'
  signature: 'status: str | _models.ModelStatus | None'