snowflake.ml.model.batch_inference.EngineOptions¶

class snowflake.ml.model.batch_inference.EngineOptions(*, engine: InferenceEngine | None = None, engine_args_override: list[str] | None = None)¶

Bases: BaseModel

inference.engine_options sub-block of the job specification.

engine¶

The inference engine to use.

Type:

Optional[InferenceEngine]

engine_args_override¶

Arguments passed through to the inference engine.

Type:

Optional[list[str]]

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Attributes

model_computed_fields = {}¶

model_config: ClassVar[ConfigDict] = {'extra': 'forbid'}¶

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_extra¶

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to “allow”.

model_fields = {'engine': FieldInfo(annotation=Union[InferenceEngine, NoneType], required=False, default=None), 'engine_args_override': FieldInfo(annotation=Union[list[str], NoneType], required=False, default=None)}¶

model_fields_set¶

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

engine: InferenceEngine | None¶

engine_args_override: list[str] | None¶