azure.ai.anomalydetector.models.ModelState.yml

### YamlMime:PythonClass
uid: azure.ai.anomalydetector.models.ModelState
name: ModelState
fullName: azure.ai.anomalydetector.models.ModelState
module: azure.ai.anomalydetector.models
inheritances:
- azure.ai.anomalydetector._model_base.Model
summary: Model status.
constructor:
  syntax: 'ModelState(*args: Any, **kwargs: Any)'
variables:
- description: 'This indicates the number of passes of the entire training dataset
    the

    algorithm has completed.'
  name: epoch_ids
  types:
  - <xref:list>[<xref:int>]
- description: 'List of metrics used to assess how the model fits the training data
    for

    each

    epoch.'
  name: train_losses
  types:
  - <xref:list>[<xref:float>]
- description: 'List of metrics used to assess how the model fits the validation set

    for each

    epoch.'
  name: validation_losses
  types:
  - <xref:list>[<xref:float>]
- description: Latency for each epoch.
  name: latencies_in_seconds
  types:
  - <xref:list>[<xref:float>]
methods:
- uid: azure.ai.anomalydetector.models.ModelState.clear
  name: clear
  signature: clear() -> None
- uid: azure.ai.anomalydetector.models.ModelState.copy
  name: copy
  signature: copy()
- uid: azure.ai.anomalydetector.models.ModelState.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.ModelState.items
  name: items
  signature: items() -> ItemsView
- uid: azure.ai.anomalydetector.models.ModelState.keys
  name: keys
  signature: keys() -> KeysView
- uid: azure.ai.anomalydetector.models.ModelState.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.ModelState.popitem
  name: popitem
  signature: popitem() -> Tuple[str, Any]
- uid: azure.ai.anomalydetector.models.ModelState.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.ModelState.update
  name: update
  signature: 'update(*args: Any, **kwargs: Any) -> None'
- uid: azure.ai.anomalydetector.models.ModelState.values
  name: values
  signature: values() -> ValuesView
attributes:
- uid: azure.ai.anomalydetector.models.ModelState.epoch_ids
  name: epoch_ids
  summary: 'This indicates the number of passes of the entire training dataset the

    algorithm has completed.'
  signature: 'epoch_ids: List[int] | None'
- uid: azure.ai.anomalydetector.models.ModelState.latencies_in_seconds
  name: latencies_in_seconds
  summary: Latency for each epoch.
  signature: 'latencies_in_seconds: List[float] | None'
- uid: azure.ai.anomalydetector.models.ModelState.train_losses
  name: train_losses
  summary: 'List of metrics used to assess how the model fits the training data for
    each

    epoch.'
  signature: 'train_losses: List[float] | None'
- uid: azure.ai.anomalydetector.models.ModelState.validation_losses
  name: validation_losses
  summary: 'List of metrics used to assess how the model fits the validation set for
    each

    epoch.'
  signature: 'validation_losses: List[float] | None'