How to train and test dataset and how to convert the labels from integers to vectors in jupyter notebook?

问题

Here is my code

partition the data into training and testing splits using 75% of

the data for training and the remaining 25% for testing

(trainX, testX, trainY, testY) = train_test_split(data,
    labels, test_size=0.25, random_state=42)

convert the labels from integers to vectors

trainY = to_categorical(trainY, num_classes=5)
testY = to_categorical(testY, num_classes=5)

And it show this type of error how to fix and solve it

TypeError                                 Traceback (most recent call last)
<ipython-input-13-513dfa9190a2> in <module>
      1 # convert the labels from integers to vectors
----> 2 trainY = to_categorical(trainY, num_classes=5)
      3 testY = to_categorical(testY, num_classes=5)

~\Anaconda3\lib\site-packages\keras\utils\np_utils.py in to_categorical(y, num_classes, dtype)
     41     """
     42 
---> 43     y = np.array(y, dtype='int')
     44     input_shape = y.shape
     45     if input_shape and input_shape[-1] == 1 and len(input_shape) > 1:

TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'

回答1:

looks like your are trying to run code from the link https://github.com/robinreni96/Font_Recognition-DeepFont. If you are using windows machine, you need to make one change in dataset preparation: data_path = "font_patch\\" because "os.path.sep" is "\" in windows.

来源：https://stackoverflow.com/questions/60353834/how-to-train-and-test-dataset-and-how-to-convert-the-labels-from-integers-to-vec