snowflake.ml.model.batch_inference¶

Classes


`BatchInferenceTask`(name, *, model_version, ...)	A `DAGTask` that runs a batch inference job for a registered model version.
`ColumnHandlingOptions`	Options for handling specific columns during run_batch for file I/O.
`EngineOptions`(*[, engine, engine_args_override])	`inference.engine_options` sub-block of the job specification.
`FileEncoding`(value[, names, module, ...])	The encoding of the file content that will be passed to the custom model.
`ImageBuildSpec`(*[, image_repo, force_rebuild])	Image-build block of the batch inference job specification.
`InferenceSpec`(*[, num_workers, ...])	Inference block of the batch inference job specification.
`InputFormat`(value[, names, module, ...])	The format of the input column data.
`InputSpec`(*[, params, column_handling, ...])	Input block of the batch inference job specification.
`OutputSpec`(*, stage_location[, mode])	Output block of the batch inference job specification.
`ResourcesSpec`(*[, cpu_requests, ...])	Resources block of the batch inference job specification.
`SaveMode`(value[, names, module, qualname, ...])	Save mode options for batch inference output.