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

Maybe it's due to changes to Tensorflow since Nov 2015, but @dga's answer produced errors. I did get it to work with the following modifications:

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