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tfx.components.base.base_node.BaseNode

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Base class for a node in TFX pipeline.

tfx.components.base.base_node.BaseNode(
    instance_name=None
)

Attributes:

  • EXECUTOR_SPEC: an instance of executor_spec.ExecutorSpec which describes how to execute this node (optional, defaults to an empty executor indicates no-op.
  • DRIVER_CLASS: a subclass of base_driver.BaseDriver as a custom driver for this node (optional, defaults to base_driver.BaseDriver).* component_id: DEPRECATED FUNCTION

  • component_type: DEPRECATED FUNCTION

  • downstream_nodes

  • exec_properties

  • id: Node id, unique across all TFX nodes in a pipeline.

    If instance name is available, node_id will be: . otherwise, node_id will be:

  • inputs

  • outputs

  • type

  • upstream_nodes

Child Classes

class DRIVER_CLASS

Methods

add_downstream_node

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add_downstream_node(
    downstream_node
)

add_upstream_node

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add_upstream_node(
    upstream_node
)

from_json_dict

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@classmethod
from_json_dict(
    cls, dict_data
)

Convert from dictionary data to an object.

get_id

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@classmethod
get_id(
    cls, instance_name=None
)

Gets the id of a node.

This can be used during pipeline authoring time. For example: from tfx.components import Trainer

resolver = ResolverNode(..., model=Channel( type=Model, producer_component_id=Trainer.get_id('my_trainer')))

Args:

  • instance_name: (Optional) instance name of a node. If given, the instance name will be taken into consideration when generating the id.

Returns:

an id for the node.

to_json_dict

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to_json_dict()

Convert from an object to a JSON serializable dictionary.

Class Variables

  • EXECUTOR_SPEC