Tensorflow One Hot Encoder?

Question

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

Answer 1

My version of @CFB and @dga example, shortened a bit to ease understanding.

num_labels = 10
labels_batch = [2, 3, 5, 9]

sparse_labels = tf.reshape(labels_batch, [-1, 1])
derived_size = len(labels_batch)
indices = tf.reshape(tf.range(0, derived_size, 1), [-1, 1])
concated = tf.concat(1, [indices, sparse_labels]) 
labels = tf.sparse_to_dense(concated, [derived_size, num_labels], 1.0, 0.0)