error

[Avi3726]

from keras.utils import np_utils
from sklearn.preprocessing import LabelEncoder

X_train = np.array(trainfeatures)
y_train = np.array(trainlabel)
X_test = np.array(testfeatures)
y_test = np.array(testlabel)

lb = LabelEncoder()

y_train = np_utils.to_categorical(lb.fit_transform(y_train))
y_test = np_utils.to_categorical(lb.fit_transform(y_test))

[ruXlab]

Can you elaborate please? What is the error, what were you doing and what is the expected output?

[Akshay-Mutalik]

lb = LabelEncoder()

y_train = np_utils.to_categorical(lb.fit_transform(y_train))
y_test = np_utils.to_categorical(lb.fit_transform(y_test))

Error:
TypeError: Encoders require their input to be uniformly strings or numbers. Got ['int', 'str']

I was changing to categorical values;
getting this error

Can I get an early response ...in a bit of hurry