\begin{tabular}{ll}
\toprule
 & malnutrition \\
\midrule
Two-Stage Training & True \\
First Marginal Bijector & BernsteinPolynomial \\
Invert First Marginal Bijector & True \\
Marginal Bijector Domain Min & -5 \\
Marginal Bijector Domain Max & 5 \\
Marginal Bijector Extrapolation & True \\
First Marginal Bijector Parameter Constraint Function & mctm.activations.get\_thetas\_constrain\_fn \\
Allow Flexible Bounds for First Marginal Bijector & False \\
Bounds constraints for First Marginal Bijector & linear \\
First Marginal Bijector Codomain Max & 5 \\
First Marginal Bijector Codomain Min & -5 \\
Parameters Function for First Marginal Bijector & parameter\_vector \\
First Marginal Bijector Parameter Shape 0 & 3 \\
First Marginal Bijector Parameter Shape 1 & 6 \\
Second Marginal Bijector & Shift \\
Invert Second Marginal Bijector & True \\
Parameters Function for Second Marginal Bijector & bernstein\_polynomial \\
Second Marginal Bijector Conditional Event Shape & 1 \\
Extrapolation for Second Marginal Bijector & True \\
Second Marginal Bijector Parameter Shape 0 & 3 \\
Polynomial Order for Second Marginal Bijector & 6 \\
Marginal Epochs & 1000 \\
Marginal Batch Size & 1024 \\
Marginal Learning Rate & 0.050 \\
Marginal Reduce LR on Plateau & False \\
Marginal Early Stopping & 50 \\
Marginal Monitor & val\_loss \\
Marginal Verbosity & True \\
Joint Epochs & 400 \\
Joint Batch Size & 512 \\
Joint Learning Rate Decay Steps & epochs \\
Joint Learning Rate Scheduler & cosine\_decay \\
Joint Early Stopping & 50 \\
Second Marginal Bijector Domain Min & 0 \\
Second Marginal Bijector Domain Max & 35 \\
\bottomrule
\end{tabular}
