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check latest model
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predict.py

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@@ -67,6 +67,7 @@ def predict_unseen_data():
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y_test = np.argmax(y_test, axis=1)
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correct_predictions = sum(all_predictions == y_test)
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logging.critical('The accuracy is: {}'.format(correct_predictions / float(len(y_test))))
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logging.critical('The prediction is complete')
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if __name__ == '__main__':
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# python3 predict.py ./trained_model_1478649295/ ./data/small_samples.json

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