https://github.com/GPflow/GPflow
* Random features for SVGP model * Changed interface for random features so that returns whether given back variance or precisions -- stops unnecessary converting stuff. * Fixed tests for GPR with this new interface.
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- 0adad1379d94928cfd22d5a737ae354526cc6c93
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SVGP random features
[verbosity]
tf_compile_verb = False
hmc_verb = True
optimisation_verb = False
[dtypes]
float_type = float64
int_type = int32
[numerics]
jitter_level = 1e-6
# quadrature can be set to: allow, warn, error
ekern_quadrature = warn
[profiling]
dump_timeline = False
dump_tensorboard = False
output_file_name = timeline
output_directory = ./
each_time = False
[session]
intra_op_parallelism_threads = 0
inter_op_parallelism_threads = 0
Computing file changes ...