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mzwiessele 2014-06-27 16:18:41 -07:00
parent 8213b5011c
commit 35b778b45f
6 changed files with 27 additions and 27 deletions
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6
GPy/core/gp.py
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@ -14,6 +14,9 @@ from ..inference.latent_function_inference import exact_gaussian_inference, expe
from parameterization.variational import VariationalPosterior
from scipy.sparse.base import issparse
import logging
logger = logging.getLogger("GP")
class GP(Model):
"""
General purpose Gaussian process model
@ -40,6 +43,7 @@ class GP(Model):
self.num_data, self.input_dim = self.X.shape
assert Y.ndim == 2
logger.info("initializing Y")
if issparse(Y): self.Y = Y
else: self.Y = ObsAr(Y)
assert Y.shape[0] == self.num_data
@ -56,6 +60,7 @@ class GP(Model):
self.likelihood = likelihood
#find a sensible inference method
logger.info("initializing inference method")
if inference_method is None:
if isinstance(likelihood, likelihoods.Gaussian) or isinstance(likelihood, likelihoods.MixedNoise):
inference_method = exact_gaussian_inference.ExactGaussianInference()
@ -64,6 +69,7 @@ class GP(Model):
print "defaulting to ", inference_method, "for latent function inference"
self.inference_method = inference_method
logger.info("adding kernel and likelihood as parameters")
self.add_parameter(self.kern)
self.add_parameter(self.likelihood)