docs: fix docstring for BPINNsolution, fix BPINN Manual, import Cubat…

…ure in constraints tutorial
SciML · Jan 18, 2024 · 4f4a8f3 · 4f4a8f3
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diff --git a/docs/src/manual/bpinns.md b/docs/src/manual/bpinns.md
@@ -14,8 +14,11 @@ NeuralPDE.ahmc_bayesian_pinn_pde
 
 ## `symbolic_discretize` for `BayesianPINN` and lower level interface.
 
-```@docs
+```@docs; canonical=false
 SciMLBase.symbolic_discretize(::PDESystem, ::NeuralPDE.AbstractPINN)
+```
+
+```@docs
 NeuralPDE.BPINNstats
 NeuralPDE.BPINNsolution
 ```

diff --git a/docs/src/tutorials/constraints.md b/docs/src/tutorials/constraints.md
@@ -22,7 +22,7 @@ with Physics-Informed Neural Networks.
 
 ```@example fokkerplank
 using NeuralPDE, Lux, ModelingToolkit, Optimization, OptimizationOptimJL
-using Integrals, IntegralsCubature
+using Integrals, Cubature
 import ModelingToolkit: Interval, infimum, supremum
 # the example is taken from this article https://arxiv.org/abs/1910.10503
 @parameters x

diff --git a/src/BPINN_ode.jl b/src/BPINN_ode.jl
@@ -150,7 +150,6 @@ BPINN Solution contains the original solution from AdvancedHMC.jl sampling(BPINN
 > estimated_nn_params - Probabilistic Estimate of NN params from sampled weights,biases
 > estimated_de_params - Probabilistic Estimate of DE params from sampled unknown DE paramters
 """
-
 struct BPINNsolution{O <: BPINNstats, E, NP, OP, P}
     original::O
     ensemblesol::E