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WIP Update bayesian solvers #105

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WIP Update bayesian solvers #105

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3 changes: 2 additions & 1 deletion tutorials/first_example_basis.jl
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Expand Up @@ -47,7 +47,8 @@ train = [gen_dat() for _=1:20];
# We specify a solver and then as `ACEfit.jl` to do all the work for us. More fine-grained control is possible; see the `ACEfit.jl` documentation.
# For sake of illustration we use a Bayesian Ridge Regression solver. This will automatically determine the regularisation for us.

solver = ACEfit.RRQR(rtol = 1e-4)
# TODO: change this solver name once we agree on the new API
solver = ACEfit.BayesianLinearRegressionSVD()
solution = ACEfit.linear_fit(train, basis, solver)

# Finally, we generate the potential from the parameters.
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