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Merge branch 'devel' of github.com:SheffieldML/GPy into devel
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commit
c0be7ae4e2
3 changed files with 29 additions and 1 deletions
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@ -861,12 +861,15 @@ def kern_test(kern, X=None, X2=None, output_ind=None, verbose=False, X_positive=
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if X_positive:
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X = abs(X)
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if output_ind is not None:
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assert(output_ind<kern.input_dim)
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X[:, output_ind] = np.random.randint(low=0,high=kern.parts[0].output_dim, size=X.shape[0])
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import ipdb; ipdb.set_trace()
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if X2==None:
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X2 = np.random.randn(20, kern.input_dim)
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if X_positive:
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X2 = abs(X2)
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if output_ind is not None:
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assert(output_ind<kern.input_dim)
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X2[:, output_ind] = np.random.randint(low=0, high=kern.parts[0].output_dim, size=X2.shape[0])
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if verbose:
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@ -36,7 +36,7 @@ class KernelTests(unittest.TestCase):
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def test_eq_sympykernel(self):
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if SYMPY_AVAILABLE:
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kern = GPy.kern.eq_sympy(5, 3)
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self.assertTrue(GPy.kern.kern_test(kern, output_ind=3, verbose=verbose))
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self.assertTrue(GPy.kern.kern_test(kern, output_ind=4, verbose=verbose))
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def test_ode1_eqkernel(self):
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if SYMPY_AVAILABLE:
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25
README.md
25
README.md
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@ -9,6 +9,31 @@ A Gaussian processes framework in Python.
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Continuous integration status: 
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Getting started
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===============
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Installing with pip
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-------------------
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The simplest way to install GPy is using pip.
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pip install gpy
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Ubuntu
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------
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For the most part, the developers are using ubuntu. To install the required packages:
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sudo apt-get install python-numpy python-scipy python-matplotlib
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clone this git repository and add it to your path:
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git clone git@github.com:SheffieldML/GPy.git \<destination\>
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echo "PYTHONPATH=$PYTHONPATH:\<detination\> > ~/.bashrc
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Windows
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-------
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On windows, we recommend the . We've also had luck with . git clone or unzip the source to a suitable directory, and add a PYTHONPATH environement variable.
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OSX
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---
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everything appears to work out-of-the box using  on osx Mavericks.
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Compiling documentation:
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========================
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