Suppose I fit some data

```
using Distributions, Random;
DGP_True = LogNormal(0,1);
Random.seed!(123);
const d_train = rand(DGP_True, 1_000);
D1=Distributions.fit_mle(LogNormal, d_train)
#Gives a fit distribution
julia> D1
LogNormal{Float64}(μ=0.03421345999528483, σ=0.9966633047846717)
```

Question: how can I recover the fit parameters from `D1`

in vector form?

ie: [μ=0.03421345999528483, σ=0.9966633047846717]

or: ie: [0.03421345999528483, 0.9966633047846717]