Does tensorflow have something similar to scikit learn\'s one hot encoder for processing categorical data? Would using a placeholder of tf.string behave as categorical data
A simple and short way to one-hot encode any integer or list of intergers:
a = 5
b = [1, 2, 3]
# one hot an integer
one_hot_a = tf.nn.embedding_lookup(np.identity(10), a)
# one hot a list of integers
one_hot_b = tf.nn.embedding_lookup(np.identity(max(b)+1), b)