擅长:python、mysql、java
<p>你可以使用keras和LabelEncoder</p>
<pre><code>import numpy as np
from keras.utils import to_categorical
from sklearn.preprocessing import LabelEncoder
# define example
data = np.array(['dog', 'dog', 'cat', 'cat', 'cat', 'dog', 'dog', 'cat', 'cat'])
label_encoder = LabelEncoder()
data = label_encoder.fit_transform(data)
# one hot encode
encoded = to_categorical(data)
</code></pre>