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  1. from reader import read_testing, read_training
  2. from  keras.utils import  to_categorical
  3. import numpy as np
  4. import autokeras as ak
  5. from sklearn.metrics import classification_report, confusion_matrix
  6. emotions_map = [4, 4, 0, 2, 4, 3, 1]
  7.  
  8. def reading_data():
  9. 	print('Reading data...')
  10. 	x_test, y_test = read_testing()
  11. 	x_train, y_train = read_training()
  12. 	print(y_train.shape)
  13.  
  14. 	emotions_count = len(set(emotions_map))
  15. 	# y_train = to_categorical(y_train, emotions_count)
  16. 	# y_test = to_categorical(y_test, emotions_count)
  17.  
  18. 	x_train = np.array(x_train, 'float32')
  19. 	y_train = np.array(y_train, 'float32')
  20. 	x_test = np.array(x_test, 'float32')
  21. 	y_test = np.array(y_test, 'float32')
  22.  
  23. 	x_train /= 255 #normalize inputs between [0, 1]
  24. 	x_test /= 255
  25.  
  26. 	x_train = x_train.reshape(x_train.shape[0], 48, 48, 1)
  27. 	x_train = x_train.astype('float32')
  28. 	x_test = x_test.reshape(x_test.shape[0], 48, 48, 1)
  29. 	x_test = x_test.astype('float32')
  30.  
  31. 	print(x_train.shape[0], 'train samples')
  32. 	print(x_test.shape[0], 'test samples')
  33.  
  34. 	return x_train, x_test, y_train, y_test
  35.  
  36. def create_model(x_train, x_test, y_train, y_test):
  37. 	model = ak.ImageClassifier(path="/automodels/", verbose=True)
  38.  
  39. 	#increasing time will increase the accuracy
  40. 	model.fit(x_train, y_train, time_limit=60*60*24)
  41. 	model.final_fit(x_train, y_train, x_test, y_test, retrain=True)
  42. 	score = model.evaluate(x_test, y_test)
  43. 	print("accuracy on test set is ",100*score)
  44. 	autokeras_predictions = autokeras_model.predict(x_test)
  45. 	confusion_matrix(y_test, autokeras_predictions)
  46.  
  47. 	#exporting model
  48. 	model.export_autokeras_model('best_auto_keras_model.h5')
  49. 	print("done exporting")
  50.  
  51. def main():
  52. 	x_train, x_test, y_train, y_test = reading_data()
  53. 	create_model(x_train, x_test, y_train, y_test)
  54.  
  55. if __name__ == '__main__': main()
Runtime error #stdin #stdout #stderr 0.02s 27712KB
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Standard input is empty
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Standard output is empty
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Traceback (most recent call last):
  File "./prog.py", line 1, in <module>
    from reader import read_testing, read_training
ImportError: No module named 'reader'
https://ideone.com/30a7oD
language:
Python 3 nbc (python 3.7.3)
created:
4 years ago
visibility:
public

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