Python Estimator Examples

Example #1

def train_and_evaluate():
    estimator = xdl.Estimator(model_fn=model_fn, optimizer=xdl.SGD(0.5))

    estimator.train_and_evaluate(train_input_fn=input_fn,
                                 eval_input_fn=eval_input_fn,
                                 eval_interval=1000,
                                 eval_steps=200,
                                 checkpoint_interval=1000,
                                 max_step=5000)

Example #2

def evaluate():
    estimator = xdl.Estimator(model_fn=model_fn, optimizer=xdl.SGD(0.5))
    estimator.evaluate(input_fn, checkpoint_version="", max_step=2000)

Example #3

def predict():
    estimator = xdl.Estimator(model_fn=model_fn, optimizer=xdl.SGD(0.5))
    estimator.predict(input_fn, checkpoint_version="", max_step=2000)

Example #4

def train():
    estimator = xdl.Estimator(model_fn=model_fn, optimizer=xdl.SGD(0.5))
    estimator.train(input_fn, max_step=2000, checkpoint_interval=1000)