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Fixed examples tests, started changing datasets code which has a few bugs
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3 changed files with 39 additions and 18 deletions
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@ -10,6 +10,7 @@ import os
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import random
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from nose.tools import nottest
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import sys
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import itertools
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class ExamplesTests(unittest.TestCase):
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def _checkgrad(self, Model):
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@ -39,8 +40,19 @@ def model_instance(model):
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#assert isinstance(model, GPy.core.model)
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return isinstance(model, GPy.core.model.Model)
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@nottest
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def flatten_nested(lst):
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result = []
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for element in lst:
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if hasattr(element, '__iter__'):
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result.extend(flatten_nested(element))
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else:
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result.append(element)
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return result
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#@nottest
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def test_models():
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optimize=False
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plot=True
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examples_path = os.path.dirname(GPy.examples.__file__)
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# Load modules
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failing_models = {}
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@ -54,29 +66,34 @@ def test_models():
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print "After"
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print functions
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for example in functions:
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if example[0] in ['oil', 'silhouette', 'GPLVM_oil_100', 'brendan_faces']:
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print "SKIPPING"
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continue
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#if example[0] in ['oil', 'silhouette', 'GPLVM_oil_100', 'brendan_faces']:
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#print "SKIPPING"
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#continue
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print "Testing example: ", example[0]
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# Generate model
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try:
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model = example[1]()
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models = [ example[1](optimize=optimize, plot=plot) ]
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#If more than one model returned, flatten them
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models = flatten_nested(models)
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except Exception as e:
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failing_models[example[0]] = "Cannot make model: \n{e}".format(e=e)
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else:
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print model
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print models
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model_checkgrads.description = 'test_checkgrads_%s' % example[0]
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try:
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if not model_checkgrads(model):
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failing_models[model_checkgrads.description] = False
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for model in models:
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if not model_checkgrads(model):
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failing_models[model_checkgrads.description] = False
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except Exception as e:
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failing_models[model_checkgrads.description] = e
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model_instance.description = 'test_instance_%s' % example[0]
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try:
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if not model_instance(model):
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failing_models[model_instance.description] = False
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for model in models:
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if not model_instance(model):
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failing_models[model_instance.description] = False
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except Exception as e:
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failing_models[model_instance.description] = e
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