Mercurial > pylearn

annotate test_mlp.py @ 262:14b9779622f9

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
Split LearningAlgorithm into OfflineLearningAlgorithm and OnlineLearningAlgorithm
author Yoshua Bengio <bengioy@iro.umontreal.ca>
date Tue, 03 Jun 2008 21:34:24 -0400
parents ebbb0e749565
children
rev   line source
121
2ca8dccba270 debugging mlp.py
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
diff changeset
1
2ca8dccba270 debugging mlp.py
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
diff changeset
2 from mlp import *
133
b4657441dd65 Corrected typos
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 121
diff changeset
3 import dataset
186
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
4 import nnet_ops
121
2ca8dccba270 debugging mlp.py
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
diff changeset
5
183
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
6
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
7 from functools import partial
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
8 def separator(debugger, i, node, *ths):
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
9 print "==================="
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
10
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
11 def what(debugger, i, node, *ths):
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
12 print "#%i" % i, node
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
13
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
14 def parents(debugger, i, node, *ths):
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
15 print [input.step for input in node.inputs]
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
16
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
17 def input_shapes(debugger, i, node, *ths):
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
18 print "input shapes: ",
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
19 for r in node.inputs:
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
20 if hasattr(r.value, 'shape'):
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
21 print r.value.shape,
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
22 else:
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
23 print "no_shape",
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
24 print
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
25
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
26 def input_types(debugger, i, node, *ths):
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
27 print "input types: ",
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
28 for r in node.inputs:
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
29 print r.type,
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
30 print
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
31
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
32 def output_shapes(debugger, i, node, *ths):
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
33 print "output shapes:",
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
34 for r in node.outputs:
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
35 if hasattr(r.value, 'shape'):
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
36 print r.value.shape,
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
37 else:
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
38 print "no_shape",
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
39 print
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
40
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
41 def output_types(debugger, i, node, *ths):
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
42 print "output types:",
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
43 for r in node.outputs:
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
44 print r.type,
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
45 print
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
46
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
47
121
2ca8dccba270 debugging mlp.py
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
diff changeset
48 def test0():
183
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
49 linker = 'c|py'
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
50 #linker = partial(theano.gof.DebugLinker, linkers = [theano.gof.OpWiseCLinker],
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
51 # debug_pre = [separator, what, parents, input_types, input_shapes],
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
52 # debug_post = [output_shapes, output_types],
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
53 # compare_fn = lambda x, y: numpy.all(x == y))
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
54
25d0a0c713da did some debugging of test_mlp
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents: 180
diff changeset
55 nnet = OneHiddenLayerNNetClassifier(10,2,.001,1000, linker = linker)
133
b4657441dd65 Corrected typos
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 121
diff changeset
56 training_set = dataset.ArrayDataSet(numpy.array([[0, 0, 0],
b4657441dd65 Corrected typos
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 121
diff changeset
57 [0, 1, 1],
b4657441dd65 Corrected typos
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 121
diff changeset
58 [1, 0, 1],
b4657441dd65 Corrected typos
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 121
diff changeset
59 [1, 1, 1]]),
b4657441dd65 Corrected typos
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 121
diff changeset
60 {'input':slice(2),'target':2})
b4657441dd65 Corrected typos
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 121
diff changeset
61 fprop=nnet(training_set)
121
2ca8dccba270 debugging mlp.py
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
diff changeset
62
135
0d8e721cc63c Fixed bugs in dataset to make test_mlp.py work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 133
diff changeset
63 output_ds = fprop(training_set)
0d8e721cc63c Fixed bugs in dataset to make test_mlp.py work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 133
diff changeset
64
0d8e721cc63c Fixed bugs in dataset to make test_mlp.py work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 133
diff changeset
65 for fieldname in output_ds.fieldNames():
0d8e721cc63c Fixed bugs in dataset to make test_mlp.py work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 133
diff changeset
66 print fieldname+"=",output_ds[fieldname]
121
2ca8dccba270 debugging mlp.py
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
diff changeset
67
186
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
68 def test1():
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
69 nnet = ManualNNet(2, 10,3,.1,1000)
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
70 training_set = dataset.ArrayDataSet(numpy.array([[0, 0, 0],
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
71 [0, 1, 1],
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
72 [1, 0, 1],
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
73 [1, 1, 1]]),
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
74 {'input':slice(2),'target':2})
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
75 fprop=nnet(training_set)
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
76
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
77 output_ds = fprop(training_set)
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
78
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
79 for fieldname in output_ds.fieldNames():
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
80 print fieldname+"=",output_ds[fieldname]
121
2ca8dccba270 debugging mlp.py
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
diff changeset
81
186
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
82 def test2():
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
83 training_set = dataset.ArrayDataSet(numpy.array([[0, 0, 0],
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
84 [0, 1, 1],
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
85 [1, 0, 1],
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
86 [1, 1, 1]]),
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
87 {'input':slice(2),'target':2})
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
88 nin, nhid=2, 10
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
89 def sigm_layer(input):
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
90 W1 = t.matrix('W1')
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
91 b1 = t.vector('b1')
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
92 return (nnet_ops.sigmoid(b1 + t.dot(input, W1)),
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
93 [W1, b1],
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
94 [(numpy.random.rand(nin, nhid) -0.5) * 0.001, numpy.zeros(nhid)])
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
95 nnet = ManualNNet(nin, nhid, 3, .1, 1000, hidden_layer=sigm_layer)
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
96 fprop=nnet(training_set)
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
97
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
98 output_ds = fprop(training_set)
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
99
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
100 for fieldname in output_ds.fieldNames():
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
101 print fieldname+"=",output_ds[fieldname]
187
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
102
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
103 def test_interface_0():
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
104 learner = ManualNNet(2, 10, 3, .1, 1000)
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
105
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
106 model = learner(training_set)
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
107
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
108 model2 = learner(training_set) # trains model a second time
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
109
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
110 learner.update(additional_data) # modifies nnet and model by side-effect
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
111
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
112
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
113 def test_interface2_1():
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
114 learn_algo = ManualNNet(2, 10, 3, .1, 1000)
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
115
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
116 prior = learn_algo()
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
117
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
118 model1 = learn_algo(training_set1)
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
119
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
120 model2 = learn_algo(training_set2)
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
121
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
122 model2.update(additional_data)
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
123
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
124 n_match = 0
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
125 for o1, o2 in zip(model1.use(test_data), model2.use(test_data)):
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
126 n_match += (o1 == o2)
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
127
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
128 print n_match
ebbb0e749565 added mlp_factory_approach
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 186
diff changeset
129
186
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
130 test1()
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
131 test2()
562f308873f0 added ManualNNet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 183
diff changeset
132