tf.contrib.learn.TensorFlowRNNRegressor.evaluate()

tf.contrib.learn.TensorFlowRNNRegressor.evaluate(x=None, y=None, input_fn=None, feed_fn=None, batch_size=None, steps=None, metrics=None, name=None)

Evaluates given model with provided evaluation data.

See superclass Estimator for more details.

Args:

• x: features.
• y: targets.
• input_fn: Input function.
• feed_fn: Function creating a feed dict every time it is called.
• batch_size: minibatch size to use on the input.
• steps: Number of steps for which to evaluate model.
• metrics: Dict of metric ops to run. If None, the default metrics are used.
• name: Name of the evaluation.

Returns:

Returns dict with evaluation results.