when run your code , it occurs some problems.

[sshzhang]

Connected to pydev debugger (build 182.4323.49) Using Theano backend. MLP arguments: Namespace(batch_size=256, dataset='ml-1m', epochs=100, layers='[64,32,16,8]', learner='adam', lr=0.001, num_neg=4, out=1, path='Data/', reg_layers='[0,0,0,0]', verbose=1) Load data done [46.5 s]. #user=6040, #item=3706, #train=994169, #test=6040 Traceback (most recent call last): File "/home/zxj/software/pycharm-2018.2.3/helpers/pydev/pydevd.py", line 1664, in main() File "/home/zxj/software/pycharm-2018.2.3/helpers/pydev/pydevd.py", line 1658, in main globals = debugger.run(setup['file'], None, None, is_module) File "/home/zxj/software/pycharm-2018.2.3/helpers/pydev/pydevd.py", line 1068, in run pydev_imports.execfile(file, globals, locals) # execute the script File "/home/zxj/software/pycharm-2018.2.3/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "/home/zxj/PycharmProjects/neural_collaborative_filtering/MLP.py", line 136, in model = get_model(num_users, num_items, layers, reg_layers) File "/home/zxj/PycharmProjects/neural_collaborative_filtering/MLP.py", line 72, in get_model user_latent = Flatten()(MLP_Embedding_User(user_input)) File "/usr/local/lib/python3.5/dist-packages/keras/engine/topology.py", line 484, in call self.build(input_shapes[0]) File "/usr/local/lib/python3.5/dist-packages/keras/layers/embeddings.py", line 95, in build name='{}_W'.format(self.name)) File "/home/zxj/PycharmProjects/neural_collaborative_filtering/MLP.py", line 57, in init_normal return initializations.normal(shape, scale=0.01, name=name) File "/usr/local/lib/python3.5/dist-packages/keras/initializations.py", line 36, in normal return K.random_normal_variable(shape, 0.0, scale, name=name) File "/usr/local/lib/python3.5/dist-packages/keras/backend/theano_backend.py", line 115, in random_normal_variable return variable(np.random.normal(loc=0.0, scale=scale, size=shape), File "mtrand.pyx", line 1652, in mtrand.RandomState.normal File "mtrand.pyx", line 242, in mtrand.cont2_array_sc TypeError: 'float' object cannot be interpreted as an integer

The are some problems, when i run MLP.py , keras and Theano version is right . I hope you can hope me to solved this problems

[sshzhang]

I solved it . modify int(layers[0]/2) That would be ok !

[wangdazi]

Hello,where did you modify?

[sshzhang]

MLP文件中的Embedding(output_dim=int(layers[0]/2)) ，两个Embedding都要修改。

[wangdazi]

thank you very much,but i meet the error: ERROR (theano.gof.opt): Optimization failure due to: constant_folding ERROR (theano.gof.opt): node: DimShuffle{x,x}(TensorConstant{0.5}) ERROR (theano.gof.opt): TRACEBACK: ERROR (theano.gof.opt): Traceback (most recent call last): File "C:\Users\Administrator\Anaconda3\lib\site-packages\theano\gof\opt.py", line 1772, in process_node replacements = lopt.transform(node) File "C:\Users\Administrator\Anaconda3\lib\site-packages\theano\tensor\opt.py", line 5825, in constant_folding no_recycling=[]) File "C:\Users\Administrator\Anaconda3\lib\site-packages\theano\gof\op.py", line 970, in make_thunk no_recycling) File "C:\Users\Administrator\Anaconda3\lib\site-packages\theano\gof\op.py", line 879, in make_c_thunk output_storage=node_output_storage) File "C:\Users\Administrator\Anaconda3\lib\site-packages\theano\gof\cc.py", line 1200, in make_thunk keep_lock=keep_lock) File "C:\Users\Administrator\Anaconda3\lib\site-packages\theano\gof\cc.py", line 1143, in compile keep_lock=keep_lock) File "C:\Users\Administrator\Anaconda3\lib\site-packages\theano\gof\cc.py", line 1587, in cthunk_factory key = self.cmodule_key() File "C:\Users\Administrator\Anaconda3\lib\site-packages\theano\gof\cc.py", line 1285, in cmodule_key c_compiler=self.c_compiler(), File "C:\Users\Administrator\Anaconda3\lib\site-packages\theano\gof\cc.py", line 1364, in cmodule_key_ numpy.core.multiarray._get_ndarray_c_version()) AttributeError: module 'numpy.core.multiarray' has no attribute '_get_ndarray_c_version' I hope you can hope me to solved this problems

[Amoshen]

Please use python2 to run the code.(The gap between python3 and python2)