tfx.orchestration.experimental.interactive.interactive_context.InteractiveContext

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TFX interactive context for interactive TFX notebook development.

tfx.orchestration.experimental.interactive.interactive_context.InteractiveContext(
    pipeline_name: Text = None,
    pipeline_root: Text = None,
    metadata_connection_config: metadata_store_pb2.ConnectionConfig = None
)

Used in the notebooks

Used in the tutorials
TFX Estimator Component Tutorial TFX Keras Component Tutorial Fairness Indicators Case Study to showcase Lineage

Args
pipeline_name	Optional name of the pipeline for ML Metadata tracking purposes. If not specified, a name will be generated for you.
pipeline_root	Optional path to the root of the pipeline's outputs. If not specified, an ephemeral temporary directory will be created and used.
metadata_connection_config	Optional metadata_store_pb2.ConnectionConfig instance used to configure connection to a ML Metadata connection. If not specified, an ephemeral SQLite MLMD connection contained in the pipeline_root directory with file name "metadata.sqlite" will be used.

Methods

export_to_pipeline

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export_to_pipeline(
    notebook_filepath: Text,
    export_filepath: Text,
    runner_type: Text
)

Exports a notebook to a .py file as a runnable pipeline.

Args
notebook_filepath	String path of the notebook file, e.g. '/path/to/notebook.ipynb'.
export_filepath	String path for the exported pipeline python file, e.g. '/path/to/exported_pipeline.py'.
runner_type	String indicating type of runner, e.g. 'beam', 'airflow'.

run

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run(
    component: tfx.components.base.base_node.BaseNode,
    enable_cache: bool = True,
    beam_pipeline_args: Optional[List[Text]] = None
) -> tfx.orchestration.experimental.interactive.execution_result.ExecutionResult

Run a given TFX component in the interactive context.

Args
component	Component instance to be run.
enable_cache	whether caching logic should be enabled in the driver.
beam_pipeline_args	Optional Beam pipeline args for beam jobs within executor. Executor will use beam DirectRunner as Default.

Returns
execution_result.ExecutionResult object.

show

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show(
    item: object
) -> None

Show the given object in an IPython notebook display.