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securetorobert/tf_estimator_dnn_classifier_iris_evaluate.py

Created July 15, 2018 10:45
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Evaluate a DNNClassifer on iris dataset
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tf_estimator_dnn_classifier_iris_evaluate.py
# Evaluate our model using the examples contained in FILE_TEST
# Return value will contain evaluation_metrics such as: loss & average_loss
evaluate_result = estimator.evaluate(
input_fn=lambda: my_input_fn(FILE_TEST, False, 4)
print("Evaluation results")
for key in evaluate_result:
print(" {}, was: {}".format(key, evaluate_result[key]))
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