trained_model_artifact
Trained model.
Classes:
| Name | Description |
|---|---|
TrainedModelArtifact |
Trained model class, representing a trained model artifact. |
TrainedModelArtifact
#
Trained model class, representing a trained model artifact.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
|
str
|
|
required |
|
datetime
|
|
required |
|
str
|
|
required |
|
datetime
|
|
required |
|
str
|
|
required |
|
str
|
|
required |
|
str
|
|
required |
|
bool
|
|
required |
|
str
|
|
required |
|
str
|
|
required |
|
str
|
|
required |
|
str
|
|
required |
|
list[str]
|
|
required |
|
list[str]
|
|
required |
|
Literal[TRAINED_MODEL]
|
|
required |
|
list[str]
|
|
required |
|
ForwardRef(TrainedModelCheckpointSelect) | None
|
|
required |
Attributes:
| Name | Type | Description |
|---|---|---|
additional_properties |
dict[str, Any]
|
dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2) |