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TrajectorySampler amenable to any Kernel/IndVar #606

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TrajectorySampler amenable to any Kernel/IndVar #606

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7a70f1d
TrajectorySampler amenable to any Kernel/IndVar
SebastianPopescu Aug 16, 2022
0cb7be6
clean up of initial codebase
SebastianPopescu Sep 14, 2022
0827c14
latest iteration on it
SebastianPopescu Sep 16, 2022
88533c3
tests are passing
SebastianPopescu Oct 4, 2022
5fb4e10
Merge branch 'develop' into sebastian.p/trajectory_Sampler
SebastianPopescu Oct 4, 2022
f029b51
solved merge conflicts
SebastianPopescu Oct 4, 2022
9fab7e4
formatting
SebastianPopescu Oct 4, 2022
b9cab8d
constriants
SebastianPopescu Oct 4, 2022
ad1fbc8
fix tensorflow constraint
SebastianPopescu Oct 5, 2022
f37e343
fix tensorflow constraint
SebastianPopescu Oct 5, 2022
1f6c7c7
contrs and requir
SebastianPopescu Oct 19, 2022
6acffef
Merge branch 'develop' of github.com:secondmind-labs/trieste into seb…
SebastianPopescu Oct 26, 2022
15865e7
resolved conflicss
hstojic Nov 23, 2022
d729ecd
format
hstojic Nov 23, 2022
a538561
removed gpflux folder
hstojic Nov 24, 2022
3292acf
some additional cleaning
hstojic Nov 24, 2022
b293195
merged builder into one; started cleaning testing code
hstojic Nov 25, 2022
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22 changes: 21 additions & 1 deletion tests/unit/models/conftest.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,12 @@
svgp_model,
vgp_model,
)
from tests.util.models.gpflux.models import simple_two_layer_dgp_model, two_layer_dgp_model
from tests.util.models.gpflux.models import (
simple_two_layer_dgp_model,
two_layer_dgp_model,
two_layer_flexible_dgp_model,
)

from trieste.data import Dataset
from trieste.models.gpflow import (
GaussianProcessRegression,
Expand Down Expand Up @@ -94,3 +99,18 @@ def _compile_fixture(request: Any) -> bool:
@pytest.fixture(name="two_layer_model", params=[two_layer_dgp_model, simple_two_layer_dgp_model])
def _two_layer_model_fixture(request: Any) -> Callable[[TensorType], DeepGP]:
return request.param


@pytest.fixture(name="two_layer_model_modified", params=[two_layer_flexible_dgp_model])
def _two_layer_model_modified_fixture(request: Any) -> Callable[[TensorType], DeepGP]:
return request.param


@pytest.fixture(name="separate_case", params=[True])
def _separate_case_fixture(request: Any) -> bool:
return request.param


@pytest.fixture(name="output_dim", params=[2])
def _output_dim_fixture(request: Any) -> bool:
return request.param
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