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Add input function for training and testing (#9617) #9650

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Merged
vrv merged 1 commit into from
May 4, 2017
Merged

Add input function for training and testing (#9617) #9650

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16 changes: 13 additions & 3 deletions tensorflow/examples/tutorials/estimators/abalone.py
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Original file line number Diff line number Diff line change
Expand Up @@ -134,12 +134,22 @@ def main(unused_argv):

# Instantiate Estimator
nn = tf.contrib.learn.Estimator(model_fn=model_fn, params=model_params)


def get_train_inputs():
x = tf.constant(training_set.data)
y = tf.constant(training_set.target)
return x, y

# Fit
nn.fit(x=training_set.data, y=training_set.target, steps=5000)
nn.fit(input_fn=get_train_inputs, steps=5000)

# Score accuracy
ev = nn.evaluate(x=test_set.data, y=test_set.target, steps=1)
def get_test_inputs():
x = tf.constant(test_set.data)
y = tf.constant(test_set.target)
return x, y

ev = nn.evaluate(input_fn=get_test_inputs, steps=1)
print("Loss: %s" % ev["loss"])
print("Root Mean Squared Error: %s" % ev["rmse"])

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