Let us consider a scenario where we have a dataset $\mathbf{X}$, which is a collection of vectors $\mathbf{x}_i \in \mathbb{R}^n$. We encode each component $x_j \in \mathbb{R}$ of $\mathbf{x}$ in a coherent state $|x_j\rangle$ (not a position eigenstate) via some fixed scheme. Now, consider a one-parameter unitary transformation $U(\theta(t)) : |x_j\rangle \mapsto |y_j\rangle,$ according to some dynamical parameter $\theta(t)$. One can calculate the so-called negativity of the Wigner function of a state $|\psi\rangle$ from the equation, $$ N_{|\psi\rangle} = \int_{\mathbb{R}^2} \big|W_{|\psi\rangle}(x,p)\big| \, dx \, dp - 1.$$
Let us say, we calculate an average negativity $\overline{N} \in \mathbb{R}$ associated to each vector $\mathbf{x}_i \in \mathbb{R}^n$ and plot its time evolution. What precisely can I infer from such plots? Are these average negativities a good indicator of how quantum the state after $U(\theta)$ is?
ADDENDUM:
The parameters $\theta(t)$ are chosen randomly at $t = 0$ and $\theta(t+1)$ is determined via a gradient descent on the mean square error $\left \langle \left( \langle y_j |\hat{q}| y_j\rangle - x_j \right)^2 \right \rangle$ at every time step. Here, $\hat{q}$ is a quadrature operator. The time evolution of the average negativities $\overline{N}(t)$ is computed starting from $t = 0$. Thus for every time step, we would get a different $|y_j\rangle$ according to $U(\theta(t))$ for the same $|x_j\rangle$.
I expect that in such a problem, if $U$ is not gaussian, then $\forall t > 0 : \overline{N}(t) > 0$. However, I doubt that this is a good measure for how quantum my state is, especially for small values, say, $0 < \overline{N} \leq 0.5$. I would have a similar concern for the WLN mentioned in @Alex's answer. Are there other quantities that can help quantify non-classicality besides or in addition to the WLNs or are my concerns misguided?