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Merge branch 'devel' of github.com:SheffieldML/GPy into devel

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Conflicts:
	GPy/examples/classification.py
This commit is contained in:
Ricardo 2013-09-20 15:55:48 +01:00
commit c129b98b3b
26 changed files with 316 additions and 177 deletions
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13
GPy/examples/classification.py
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@ -14,6 +14,7 @@ default_seed = 10000
def oil(num_inducing=50, max_iters=100, kernel=None):
"""
Run a Gaussian process classification on the three phase oil data. The demonstration calls the basic GP classification model and uses EP to approximate the likelihood.
"""
data = GPy.util.datasets.oil()
X = data['X']
@ -43,8 +44,10 @@ def oil(num_inducing=50, max_iters=100, kernel=None):
def toy_linear_1d_classification(seed=default_seed):
"""
Simple 1D classification example
:param seed : seed value for data generation (default is 4).
:param seed: seed value for data generation (default is 4).
:type seed: int
"""
data = GPy.util.datasets.toy_linear_1d_classification(seed=seed)
@ -71,8 +74,10 @@ def toy_linear_1d_classification(seed=default_seed):
def sparse_toy_linear_1d_classification(num_inducing=10,seed=default_seed):
"""
Sparse 1D classification example
:param seed : seed value for data generation (default is 4).
:param seed: seed value for data generation (default is 4).
:type seed: int
"""
data = GPy.util.datasets.toy_linear_1d_classification(seed=seed)
@ -100,8 +105,10 @@ def sparse_toy_linear_1d_classification(num_inducing=10,seed=default_seed):
def toy_heaviside(seed=default_seed):
"""
Simple 1D classification example using a heavy side gp transformation
:param seed : seed value for data generation (default is 4).
:param seed: seed value for data generation (default is 4).
:type seed: int
"""
data = GPy.util.datasets.toy_linear_1d_classification(seed=seed)