Creates a model from all the inputs == dimensions of the bayesian optimization
(lr, optimizer, decay, dropout_d, dropout_c, dropout_r, sampling, kld, all_sequence, model_name,
model_param, nb_steps, kld_annealing_start, kld_annealing_stop, kld_sum, loss_name, l_scale,
l_rhythm, take_all_step_rhythm, sah, l_semitone, l_tone, l_tritone, rpoe, prior_expert)
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