tfx.v1.components.FnArgs

Args to pass to user defined training/tuning function(s).

tfx.v1.components.FnArgs(
    working_dir=attr_dict['working_dir'].default,
    train_files=attr_dict['train_files'].default,
    eval_files=attr_dict['eval_files'].default,
    train_steps=attr_dict['train_steps'].default,
    eval_steps=attr_dict['eval_steps'].default,
    schema_path=attr_dict['schema_path'].default,
    schema_file=attr_dict['schema_file'].default,
    transform_graph_path=attr_dict['transform_graph_path'].default,
    transform_output=attr_dict['transform_output'].default,
    data_accessor=attr_dict['data_accessor'].default,
    serving_model_dir=attr_dict['serving_model_dir'].default,
    eval_model_dir=attr_dict['eval_model_dir'].default,
    model_run_dir=attr_dict['model_run_dir'].default,
    base_model=attr_dict['base_model'].default,
    hyperparameters=attr_dict['hyperparameters'].default,
    custom_config=attr_dict['custom_config'].default
)

Attributes
`working_dir`	Working dir.
`train_files`	A list of patterns for train files.
`eval_files`	A list of patterns for eval files.
`train_steps`	Number of train steps.
`eval_steps`	Number of eval steps.
`schema_path`	A single uri for schema file. Will be None if not specified.
`schema_file`	Deprecated, use `schema_path` instead.
`transform_graph_path`	An optional single uri for transform graph produced by TFT. Will be None if not specified.
`transform_output`	Deprecated, use `transform_graph_path` instead.
`data_accessor`	Contains factories that can create tf.data.Datasets or other means to access the train/eval data. They provide a uniform way of accessing data, regardless of how the data is stored on disk.
`serving_model_dir`	A single uri for the output directory of the serving model.
`eval_model_dir`	A single uri for the output directory of the eval model. Note that this is estimator only, Keras doesn't require it for TFMA.
`model_run_dir`	A single uri for the output directory of model training related files.
`base_model`	An optional base model path that will be used for this training.
`hyperparameters`	An optional keras_tuner.HyperParameters config.
`custom_config`	An optional dictionary passed to the component.