snowflake.ml.model.batch_inference.ImageBuildSpec¶

class snowflake.ml.model.batch_inference.ImageBuildSpec(*, image_repo: str | None = None, force_rebuild: bool = False)¶

Bases: BaseModel

Image-build block of the batch inference job specification.

image_repo¶

Container image repository for the inference job. If not specified, uses the default repository.

force_rebuild¶

Whether to force rebuilding the container image even if it already exists. Defaults to False.

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_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 = {'force_rebuild': FieldInfo(annotation=bool, required=False, default=False), 'image_repo': FieldInfo(annotation=Union[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.