tfx.dsl.components.base.executor_spec.ExecutorClassSpec

A specification of executor class.

Inherits From: ExecutorSpec

tfx.dsl.components.base.executor_spec.ExecutorClassSpec(
    executor_class: Type[tfx.dsl.components.base.base_executor.BaseExecutor]
)

Used in the notebooks

Used in the tutorials
Simple TFX Pipeline Tutorial using Penguin dataset

Attributes
`executor_class`	a subclass of base_executor.BaseExecutor used to execute this component (required).
`extra_flags`	extra flags to be set in the Python base executor.
`class_path`	Fully qualified class name for the executor class. .

Attributes

executor_class a subclass of base_executor.BaseExecutor used to execute this component (required).

extra_flags extra flags to be set in the Python base executor.

class_path

Fully qualified class name for the executor class.

Methods

`add_extra_flags`

View source

add_extra_flags(
    extra_flags: Iterable[str]
) -> None

`copy`

View source

copy() -> "ExecutorClassSpec"

Makes a copy of the ExecutorSpec.

An abstract method to implement to make a copy of the ExecutorSpec instance. Deepcopy is preferred in the implementation. But if for any reason a deepcopy is not able to be made because of some fields are not deepcopyable, it is OK to make a shallow copy as long as the subfield is consider globally immutable.

Returns
A copy of ExecutorSpec.

`encode`

View source

encode(
    component_spec: Optional[tfx.types.ComponentSpec] = None
) -> message.Message

Encodes ExecutorSpec into an IR proto for compiling.

This method will be used by DSL compiler to generate the corresponding IR.

Args
`component_spec`	Optional. The ComponentSpec to help with the encoding.

Returns
An executor spec proto.

`from_json_dict`

View source

@classmethod
from_json_dict(
    dict_data: Dict[Text, Any]
) -> Any

Convert from dictionary data to an object.

`to_json_dict`

View source

to_json_dict() -> Dict[Text, Any]

Convert from an object to a JSON serializable dictionary.