ameybarapatre / waveletneuralnetwork Goto Github PK

What is the license of this code? Also could a license file be added please? Thanks.

epoch 827, minibatch 12/12, validation error 66.657396 %
epoch 827, minibatch 12/12, test error of best model 66.666712 %
epoch 828, minibatch 12/12, validation error 66.657394 %
epoch 828, minibatch 12/12, test error of best model 66.666711 %
epoch 829, minibatch 12/12, validation error 66.657392 %
epoch 829, minibatch 12/12, test error of best model 66.666711 %
epoch 830, minibatch 12/12, validation error 66.657390 %
epoch 830, minibatch 12/12, test error of best model 66.666711 %
epoch 831, minibatch 12/12, validation error 66.657388 %
epoch 831, minibatch 12/12, test error of best model 66.666711 %
epoch 832, minibatch 12/12, validation error 66.657386 %
epoch 832, minibatch 12/12, test error of best model 66.666711 %
epoch 833, minibatch 12/12, validation error 66.657384 %
epoch 833, minibatch 12/12, test error of best model 66.666710 %
Optimization complete. Best validation score of 66.657384 % obtained at iteration 9996, with test performance 66.666710 %
0.66666710415

The code for file file ran for 0.03m

I did one hot encoding for Iris data set.

datasets = pd.read_csv(dataset,sep=',',header=None). training

ValueError Traceback (most recent call last)
in ()
460
461 if name == 'main':
--> 462 test_mlp()

in test_mlp(learning_rate, L1_reg, L2_reg, n_epochs, dataset, batch_size, n_hidden)
403 for minibatch_index in range(n_train_batches):
404
--> 405 minibatch_avg_cost = train_model(minibatch_index)
406 # iteration number
407 iter = (epoch - 1) * n_train_batches + minibatch_index

/home/coea/anaconda2/lib/python2.7/site-packages/theano/compile/function_module.pyc in call(self, *args, **kwargs)
869 node=self.fn.nodes[self.fn.position_of_error],
870 thunk=thunk,
--> 871 storage_map=getattr(self.fn, 'storage_map', None))
872 else:
873 # old-style linkers raise their own exceptions

/home/coea/anaconda2/lib/python2.7/site-packages/theano/gof/link.pyc in raise_with_op(node, thunk, exc_info, storage_map)
312 # extra long error message in that case.
313 pass
--> 314 reraise(exc_type, exc_value, exc_trace)
315
316

/home/coea/anaconda2/lib/python2.7/site-packages/theano/compile/function_module.pyc in call(self, *args, **kwargs)
857 t0_fn = time.time()
858 try:
--> 859 outputs = self.fn()
860 except Exception:
861 if hasattr(self.fn, 'position_of_error'):

ValueError: Input dimension mis-match. (input[0].shape[2] = 19, input[1].shape[2] = 18)
Apply node that caused the error: Elemwise{sub,no_inplace}(InplaceDimShuffle{0,x,1}.0, InplaceDimShuffle{x,0,1}.0)
Toposort index: 30
Inputs types: [TensorType(float64, (False, True, False)), TensorType(float64, (True, False, False))]
Inputs shapes: [(10, 1, 19), (1, 18, 18)]
Inputs strides: [(8, 41344, 2176), (2592, 144, 8)]
Inputs values: ['not shown', 'not shown']
Outputs clients: [[Elemwise{Composite{EQ(((i0 * i1 * i2) / i3), i4)}}(TensorConstant{(1, 1, 1) of 0.5}, Elemwise{sub,no_inplace}.0, Elemwise{Composite{exp((i0 * sqr(i1)))}}.0, InplaceDimShuffle{x,0,1}.0, TensorConstant{(1, 1, 1) of 0.0}), Elemwise{true_div,no_inplace}(Elemwise{sub,no_inplace}.0, InplaceDimShuffle{x,0,1}.0), Elemwise{Composite{((i0 * i1 * i2 * i3 * i4) / i5)}}(TensorConstant{(1, 1, 1) of 0.5}, Elemwise{eq,no_inplace}.0, Elemwise{neq,no_inplace}.0, Elemwise{sub,no_inplace}.0, Elemwise{Composite{exp((i0 * sqr(i1)))}}.0, InplaceDimShuffle{x,0,1}.0), Elemwise{Composite{Switch(i0, ((i1 * i2 * i3 * i4) / (i5 * i6)), Switch((i7 * i8), i9, i10))}}(Elemwise{eq,no_inplace}.0, TensorConstant{(1, 1, 1) of 2.0}, InplaceDimShuffle{0,1,x}.0, InplaceDimShuffle{0,1,x}.0, InplaceDimShuffle{x,0,1}.0, Elemwise{sub,no_inplace}.0, Elemwise{Composite{exp((i0 * sqr(i1)))}}.0, Elemwise{eq,no_inplace}.0, Elemwise{Composite{EQ(((i0 * i1 * i2) / i3), i4)}}.0, Elemwise{Mul}[(0, 1)].0, TensorConstant{(1, 1, 1) of 0}), Elemwise{Composite{((-((i0 * i1 * i2 * i3) + ((i4 * i1 * i3 * i2 * i5 * i3) / i6))) / i7)}}[(0, 1)](TensorConstant{(1, 1, 1) of 0.5}, Elemwise{Composite{Switch(i0, ((i1 * i2 * i3 * i4) / (i5 * i6)), Switch((i7 * i8), i9, i10))}}.0, Elemwise{Composite{exp((i0 * sqr(i1)))}}.0, Elemwise{sub,no_inplace}.0, TensorConstant{(1, 1, 1) of -0.5}, Elemwise{true_div,no_inplace}.0, InplaceDimShuffle{x,0,1}.0, Elemwise{sqr,no_inplace}.0), Elemwise{Composite{(((i0 * i1 * i2) / i3) + ((i4 * i1 * i5 * i2 * i6) / i7))}}(TensorConstant{(1, 1, 1) of 0.5}, Elemwise{Composite{Switch(i0, ((i1 * i2 * i3 * i4) / (i5 * i6)), Switch((i7 * i8), i9, i10))}}.0, Elemwise{Composite{exp((i0 * sqr(i1)))}}.0, InplaceDimShuffle{x,0,1}.0, TensorConstant{(1, 1, 1) of -0.5}, Elemwise{sub,no_inplace}.0, Elemwise{true_div,no_inplace}.0, Elemwise{sqr,no_inplace}.0)]]

Backtrace when the node is created(use Theano flag traceback.limit=N to make it longer):
File "/home/coea/anaconda2/lib/python2.7/site-packages/ipykernel/zmqshell.py", line 501, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/home/coea/anaconda2/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 2717, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/home/coea/anaconda2/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 2821, in run_ast_nodes
if self.run_code(code, result):
File "/home/coea/anaconda2/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 2881, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 462, in
test_mlp()
File "", line 311, in test_mlp
n_out=1
File "", line 205, in init
n_out=n_hidden,
File "", line 154, in init
x =(self.input - self.A)/self.B

HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.

Hello can you provide some information on how to use this with Theano or even Keras library?
I want to use wavelet neural networks for a project i work on and this might be useful. One the other hand maybe you can provide links to other libraries.

Thank you,
Nikos