code: def german_credit_numeric_logistic_regression():
      """German credit (numeric) logistic regression.
  
      Returns:
        target: StanModel.
      """
      dataset = data.german_credit_numeric()
      del dataset["test_features"]
      del dataset["test_labels"]
      return logistic_regression.logistic_regression(**dataset)
  
imports: from inference_gym.internal import data
  from inference_gym.tools.stan import brownian_motion
  from inference_gym.tools.stan import eight_schools
  from inference_gym.tools.stan import item_response_theory
  from inference_gym.tools.stan import log_gaussian_cox_process
  from inference_gym.tools.stan import logistic_regression
  from inference_gym.tools.stan import lorenz_system
  from inference_gym.tools.stan import probit_regression
  from inference_gym.tools.stan import radon_contextual_effects
  from inference_gym.tools.stan import radon_contextual_effects_halfnormal
  from inference_gym.tools.stan import sparse_logistic_regression
  from inference_gym.tools.stan import stochastic_volatility
label_desc: Use image node_id 6 for calling a global function with example usage: german_credit_numeric_logistic_regression() and returns: logistic_regression