tfma.exporter.LatestExporter

This class regularly exports the EvalSavedModel.

tfma.exporter.LatestExporter(
    *args, **kwargs
)

In addition to exporting, this class also garbage collects stale exports.

Attributes
`name`	Directory name. A directory name under the export base directory where exports of this type are written. Should not be `None` nor empty.

Attributes

name

Directory name.

A directory name under the export base directory where exports of this type are written. Should not be None nor empty.

Methods

`export`

View source

export(
    estimator: tf_estimator.Estimator,
    export_path: str,
    checkpoint_path: Optional[str],
    eval_result: Optional[bytes],
    is_the_final_export: bool
) -> bytes

Exports the given Estimator to a specific format.

Args
`estimator`	the `Estimator` to export.
`export_path`	A string containing a directory where to write the export.
`checkpoint_path`	The checkpoint path to export.
`eval_result`	The output of `Estimator.evaluate` on this checkpoint.
`is_the_final_export`	This boolean is True when this is an export in the end of training. It is False for the intermediate exports during the training. When passing `Exporter` to `tf.estimator.train_and_evaluate` `is_the_final_export` is always False if `TrainSpec.max_steps` is `None`.

Returns
The string path to the exported directory or `None` if export is skipped.