I am trying to run. But this error occurs
TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
Here is code
data = np.asarray(data, dtype="float") / 255.0
labels = np.array(labels)
print("Success")
# 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)
#this is run successfully but when this part of code run then always error will occur
# convert the labels from integers to vectors
trainY =keras.utils.to_categorical(trainY, num_classes=2, dtype='float32')
testY = keras.utils.to_categorical(testY, num_classes=2, dtype='float32')
print(type(trainY))
print(type(testY))
and this type of error is occur
<ipython-input-12-a1259f490078> in <module>
1 # convert the labels from integers to vectors
----> 2 trainY =keras.utils.to_categorical(trainY, num_classes=2, dtype='float32')
3 testY = keras.utils.to_categorical(testY, num_classes=2, dtype='float32')
4 print(type(trainY))
5 print(type(testY))
~\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'
