I am looking for something equivalent to model.predict(X_test) in keras.
res = dbm.reconstruct(X_test)
Traceback (most recent call last):
File "/home/yunus/PycharmProjects/boltz_/boltzmann-machines-clone/examples/dbmmnist.py", line 402, in
main()
File "/home/yunus/PycharmProjects/boltz/boltzmann-machines-clone/examples/dbm_mnist.py", line 377, in main
res = dbm.reconstruct(Xtest)
File "/home/yunus/PycharmProjects/boltz/boltzmann-machines-clone/boltzmann_machines/base/tf_model.py", line 28, in wrappedf
res = f(model, *args, **kwargs)
File "/home/yunus/PycharmProjects/boltz/boltzmann-machines-clone/boltzmann_machines/dbm.py", line 877, in reconstruct
self._reconstruction = tf.get_collection('reconstruction')[0]
IndexError: list index out of range
tf.get_collection('reconstruction') returns an empty list.
when i run
dummy2 = tf.get_default_graph().get_all_collection_keys() there is no reconstruction entry.
reconstruct is the equivalent i thought but i cant get it to work.
Is there a reconstruct for RBM or how is it called?
so this can be solved by training the model on your own machine. reconstruct then works.
Nevertheless one open question what is the equivalent reconstruct method for rbm ?
Thanks!!
I am looking for something equivalent to model.predict(X_test) in keras.
res = dbm.reconstruct(X_test)
Traceback (most recent call last): File "/home/yunus/PycharmProjects/boltz_/boltzmann-machines-clone/examples/dbmmnist.py", line 402, in
main()
File "/home/yunus/PycharmProjects/boltz /boltzmann-machines-clone/examples/dbm_mnist.py", line 377, in main
res = dbm.reconstruct(Xtest)
File "/home/yunus/PycharmProjects/boltz/boltzmann-machines-clone/boltzmann_machines/base/tf_model.py", line 28, in wrappedf
res = f(model, *args, **kwargs)
File "/home/yunus/PycharmProjects/boltz/boltzmann-machines-clone/boltzmann_machines/dbm.py", line 877, in reconstruct
self._reconstruction = tf.get_collection('reconstruction')[0]
IndexError: list index out of range
tf.get_collection('reconstruction') returns an empty list.
when i run dummy2 = tf.get_default_graph().get_all_collection_keys() there is no reconstruction entry.
reconstruct is the equivalent i thought but i cant get it to work. Is there a reconstruct for RBM or how is it called?