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JaxGaussianProcesses · Aug 15, 2024 · e6b83f9 · e6b83f9
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diff --git a/docs/examples/bayesian_optimisation.py b/docs/examples/bayesian_optimisation.py
@@ -29,7 +29,6 @@
 config.update("jax_enable_x64", True)
 
 import jax
-from jax import jit
 import jax.numpy as jnp
 import jax.random as jr
 from jaxtyping import install_import_hook, Float, Int

diff --git a/docs/examples/classification.py b/docs/examples/classification.py
@@ -136,11 +136,6 @@
     key=key,
 )
 
-# %%
-import jax
-
-jax.__version__
-
 # %% [markdown]
 # From which we can make predictions at novel inputs, as illustrated below.
 

diff --git a/docs/examples/intro_to_kernels.py b/docs/examples/intro_to_kernels.py
@@ -27,7 +27,6 @@
 
 config.update("jax_enable_x64", True)
 
-import jax
 import jax.numpy as jnp
 import jax.random as jr
 from jaxtyping import install_import_hook, Float

diff --git a/gpjax/kernels/__init__.py b/gpjax/kernels/__init__.py
@@ -46,7 +46,6 @@
     RationalQuadratic,
     White,
 )
-from gpjax.kernels import stationary
 
 __all__ = [
     "AbstractKernel",