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Neil Lawrence 2013-09-16 11:32:03 +01:00
parent 6d5d4da133
commit 336fe164fa
6 changed files with 21 additions and 24 deletions
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8
GPy/util/multioutput.py
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@ -9,8 +9,8 @@ def build_lcm(input_dim, num_outputs, CK = [], NC = [], W_columns=1,W=None,kappa
:input_dim: Input dimensionality
:num_outputs: Number of outputs
:param CK: List of coregionalized kernels (i.e., this will be multiplied by a coregionalise kernel).
:param K: List of kernels that will be added up together with CK, but won't be multiplied by a coregionalise kernel
:param CK: List of coregionalized kernels (i.e., this will be multiplied by a coregionalize kernel).
:param K: List of kernels that will be added up together with CK, but won't be multiplied by a coregionalize kernel
:param W_columns: number tuples of the corregionalization parameters 'coregion_W'
:type W_columns: integer
"""
@ -25,9 +25,9 @@ def build_lcm(input_dim, num_outputs, CK = [], NC = [], W_columns=1,W=None,kappa
k.input_dim = input_dim + 1
warnings.warn("kernel's input dimension overwritten to fit input_dim parameter.")
kernel = CK[0].prod(kern.coregionalise(num_outputs,W_columns,W,kappa),tensor=True)
kernel = CK[0].prod(kern.coregionalize(num_outputs,W_columns,W,kappa),tensor=True)
for k in CK[1:]:
k_coreg = kern.coregionalise(num_outputs,W_columns,W,kappa)
k_coreg = kern.coregionalize(num_outputs,W_columns,W,kappa)
kernel += k.prod(k_coreg,tensor=True)
for k in NC:
kernel += k