How could I convert a pandas database that contains 47 columns and 99999 lines into a tensors in
Tensorflow 2? is the Kmeans algorithm already implemented under TF 2? because the command tf.contrib.factorization.KMeans does not work under TF2 since tf.contrib no longer exists on the second API Tensorflow
I got my TF2 example working with KMeans implementation from here tf.compat.v1.estimator.experimental.KMeans
Note: As of Nov 7, 2019 the code example has a problem. Change tf.estimator.experimental.KMeans to tf.compat.v1.estimator.experimental.KMeans
Also for anyone looking for TF 2 contrib, there's a quote on the r1.15 tf.contrib page:
Warning: The tf.contrib module will not be included in TensorFlow 2.0. Many of its submodules have been integrated into TensorFlow core, or spun-off into other projects like tensorflow_io, or tensorflow_addons. For instructions on how to upgrade see the Migration guide.
