Dimension error for Hierarchical model

Questions version agnostic
8

Thank you @ricardoV94 for your proposed solution. I tried it but sadly still getting errors.

would the built in ‘shape’ args resolve this? like can I use it as below:


 for control_var in [var for var in df.columns if var.startswith('cont_var')]:
        x = df[control_var].values
        control_beta = pm.Normal(f"{control_var}_control_coef",
                                    mu=cont_beta_mu,
                                    sigma=cont_beta_sigma,
                                    dims= 'Region',
                            -->   shape= (120,)
                                    )
        
        control_x = control_beta * x
        print(control_x.shape)