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[gp] memory > only one copy

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mzwiessele 2014-06-27 15:19:11 -07:00
parent 06ee090a50
commit 8213b5011c
2 changed files with 12 additions and 10 deletions
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6
GPy/core/gp.py
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@ -12,6 +12,7 @@ from .. import likelihoods
from ..likelihoods.gaussian import Gaussian from ..likelihoods.gaussian import Gaussian
from ..inference.latent_function_inference import exact_gaussian_inference, expectation_propagation, LatentFunctionInference from ..inference.latent_function_inference import exact_gaussian_inference, expectation_propagation, LatentFunctionInference
from parameterization.variational import VariationalPosterior from parameterization.variational import VariationalPosterior
from scipy.sparse.base import issparse
class GP(Model): class GP(Model):
""" """
@ -34,12 +35,13 @@ class GP(Model):
assert X.ndim == 2 assert X.ndim == 2
if isinstance(X, (ObsAr, VariationalPosterior)): if isinstance(X, (ObsAr, VariationalPosterior)):
self.X = X.copy() self.X = X.copy()
else: self.X = ObsAr(X.copy()) else: self.X = ObsAr(X)
self.num_data, self.input_dim = self.X.shape self.num_data, self.input_dim = self.X.shape
assert Y.ndim == 2 assert Y.ndim == 2
self.Y = ObsAr(Y.copy()) if issparse(Y): self.Y = Y
else: self.Y = ObsAr(Y)
assert Y.shape[0] == self.num_data assert Y.shape[0] == self.num_data
_, self.output_dim = self.Y.shape _, self.output_dim = self.Y.shape