tfma.default_writers

Returns the default writers for use in WriteResults.

tfma.default_writers(
    output_path: Optional[str],
    eval_shared_model: Optional[tfma.types.EvalSharedModel] = None,
    eval_config: Optional[tfma.EvalConfig] = None,
    display_only_data_location: Optional[str] = None,
    display_only_data_file_format: Optional[str] = None,
    output_file_format: str = &#x27;tfrecord',
    add_metric_callbacks: Optional[List[types.AddMetricsCallbackType]] = None
) -> List[tfma.writers.Writer]

Note, sharding will be enabled by default if an output_file_format is provided. Filenames will be -SSSSS-of-NNNNN. where SSSSS is the shard number and NNNNN is the number of shards.

Args
`output_path`	Output path.
`eval_shared_model`	Optional shared model (single-model evaluation) or list of shared models (multi-model evaluation). Required unless the predictions are provided alongside of the features (i.e. model-agnostic evaluations).
`eval_config`	Eval config for writing out config along with results. Also used for to check for missing slices.
`display_only_data_location`	Optional path indicating where the examples were read from. This is used only for display purposes - data will not actually be read from this path.
`display_only_data_file_format`	Optional format of the input examples. This is used only for display purposes.
`output_file_format`	File format to use when saving files. Currently only 'tfrecord' is supported.
`add_metric_callbacks`	Optional list of metric callbacks (if used).

tfma.default_writers

Args