snowflake.ml.model.batch_inference.EngineOptions¶

class snowflake.ml.model.batch_inference.EngineOptions(*, engine: Optional[InferenceEngine] = None, engine_args_override: Optional[list[str]] = 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: ClassVar[dict[str, ComputedFieldInfo]] = {}¶

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

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

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

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: Optional[InferenceEngine]¶

engine_args_override: Optional[list[str]]¶