TensorFlow Experiment creation

create_experiment.py

experiment = tf.contrib.learn.Experiment(
    estimator=estimator,  # Estimator
    train_input_fn=train_input_fn,  # First-class function
    eval_input_fn=eval_input_fn,  # First-class function
    train_steps=params.train_steps,  # Minibatch steps
    min_eval_frequency=params.min_eval_frequency,  # Eval frequency
    train_monitors=[train_input_hook],  # Hooks for training
    eval_hooks=[eval_input_hook],  # Hooks for evaluation
    eval_steps=None  # Use evaluation feeder until its empty
)