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allow NCC init for inference_X

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Zhenwen Dai 2014-10-23 18:02:48 +01:00
parent 131f4f3fc3
commit fbc6bd0ec8
2 changed files with 4 additions and 4 deletions
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4
GPy/inference/latent_function_inference/inference_X.py
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@ -4,8 +4,8 @@ import numpy as np
from ...core import Model from ...core import Model
from ...core.parameterization import variational from ...core.parameterization import variational
def inference_newX(model, Y_new, optimize=True): def inference_newX(model, Y_new, optimize=True, init='L2'):
infr_m = Inference_X(model, Y_new) infr_m = Inference_X(model, Y_new, init=init)
if optimize: if optimize:
infr_m.optimize() infr_m.optimize()

4
GPy/models/ss_gplvm.py
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@ -119,8 +119,8 @@ class SSGPLVM(SparseGP_MPI):
else: else:
return dim_reduction_plots.plot_latent(self, plot_inducing=plot_inducing, *args, **kwargs) return dim_reduction_plots.plot_latent(self, plot_inducing=plot_inducing, *args, **kwargs)
def inference_X(self, Y_new, optimize=True): def inference_X(self, Y_new, optimize=True, init='L2'):
from ..inference.latent_function_inference.inference_X import inference_newX from ..inference.latent_function_inference.inference_X import inference_newX
return inference_newX(self, Y_new, optimize=optimize) return inference_newX(self, Y_new, optimize=optimize, init=init)