Evaluation input function returning a tuple of:

• features - Tensor or dictionary of string feature name to Tensor.

• labels - Tensor or dictionary of Tensor with labels.

Positive number of steps for which to evaluate model. If NULL, evaluates until input_fn raises an end-of-input exception.

Name of the evaluation if user needs to run multiple evaluations on different data sets. Metrics for different evaluations are saved in separate folders, and appear separately in tensorboard.

List of session run hooks to run during evaluation.

List of Exporters, or a single one, or NULL. exporters will be invoked after each evaluation.

Start evaluating after waiting for this many seconds.

Do not re-evaluate unless the last evaluation was started at least this many seconds ago. Of course, evaluation does not occur if no new checkpoints are available, hence, this is the minimum.