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👉 Complete #5 before attempting to resolve! 👈
TPQKalman
StudentProcessKalman
TProcessKalman
ssinf
tf_meas
tf_obs
StateSpaceInference
RBF
RBFGauss
StudentInference
StudentianInference
GaussianInference
num_vec
k
(num_vec, k)
(k, num_vec)
str
point_str
dyn_fcn
dynamics
dyn_fcn_dx
dynamics_jacobian
dyn_eval
dynamics_eval
StudentTProcessKalman
StudentTProcessTransform
StudentTProcessModel
Model
BQModel
GaussRV
GaussianRV
utils.py
gauss_mixture
multivariate_t
sample_
The text was updated successfully, but these errors were encountered:
#3 bqkern: renamed RBF to RBFGauss, tests passing.
24940ef
#3 renamed multi-output GP/TP moment transforms.
c266ad6
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👉 Complete #5 before attempting to resolve! 👈
TPQKalman
toStudentProcessKalman
orTProcessKalman
ssinf
to the end of the file, title the section with a commenttf_meas
totf_obs
inStateSpaceInference
RBF
toRBFGauss
StudentInference
toStudentianInference
(to matchGaussianInference
)num_vec
ofk
-dimensional vectors should be done in ndarray of shape(num_vec, k)
, and not(k, num_vec)
as it's done now. #25str
in kwargpoint_str
of GP transformsdyn_fcn
todynamics
dyn_fcn_dx
todynamics_jacobian
dyn_eval
todynamics_eval
StudentProcessKalman
toStudentTProcessKalman
(to matchStudentTProcessTransform
andStudentTProcessModel
Model
toBQModel
GaussRV
toGaussianRV
utils.py
: prependgauss_mixture
andmultivariate_t
withsample_
The text was updated successfully, but these errors were encountered: